iimk.emeritus.org Open in urlscan Pro
2606:4700::6812:1112  Public Scan

Submitted URL: https://click.info.emeritus.org/?qs=3dc56b03486589ebab3414bb3517e77cf7ab4817c5de2daf7ef0c999a58d7d25af72afc0243e971e07c33faff39a...
Effective URL: https://iimk.emeritus.org/iimk-advanced-data-analytics-for-managers/index.php?utm_source=em_category&utm_medium=emailer&ut...
Submission: On March 09 via api from US — Scanned from DE

Form analysis 2 forms found in the DOM

POST

<form id="frm" class="xl-form" method="post" novalidate="novalidate">
  <div class="row no-gutters">
    <div class="col-sm-6 col-lg-12 col-xl-6 pr-lg-1">
      <div class="form-group">
        <input type="text" id="first_name" name="first_name" autocomplete="off">
        <label for="first_name" placeholder="First Name"></label>
        <span class="error-text"></span>
      </div>
    </div><!-- end of col -->
    <div class="col-sm-6 col-lg-12 col-xl-6 pr-lg-1">
      <div class="form-group">
        <input type="text" id="last_name" name="last_name" autocomplete="off">
        <label for="last_name" placeholder="Last Name"></label>
        <span class="error-text"></span>
      </div>
    </div><!-- end of col -->
  </div><!-- end of row -->
  <!--<div class="form-group">
                                    <input type="text" id="email" name="email" aria-describedby="emailHelp" autocomplete="off">
                                    <label for="email" placeholder="Email"></label>
                                    <span class="error-text"></span>
                                </div>-->
  <div class="form-group notEmpty">
    <input type="text" id="email" name="email" aria-describedby="emailHelp" autocomplete="off" value="">
    <label for="email" placeholder="Email"></label>
    <span class="error-text"></span>
  </div>
  <div class="form-group select-icon">
    <label class="select-label" for="country" placeholder="Country/Region" alt="Country/Region"></label>
    <select id="country" name="country" class="custom-select selHolder selOption">
      <option value="" disabled="" selected="">Country/Region</option>
      <option value="India" data-code="+91 " data-gdpr="0">India</option>
      <option value="Bahrain" data-code="+973 " data-gdpr="0">Bahrain</option>
      <option value="Kuwait" data-code="+965 " data-gdpr="0">Kuwait</option>
      <option value="Oman" data-code="+968 " data-gdpr="0">Oman</option>
      <option value="Qatar" data-code="+974 " data-gdpr="0">Qatar</option>
      <option value="Saudi Arabia" data-code="+966 " data-gdpr="0">Saudi Arabia</option>
      <option value="United Arab Emirates" data-code="+971 " data-gdpr="0">United Arab Emirates</option>
      <option value="Afghanistan" data-code="+93 " data-gdpr="0">Afghanistan</option>
      <option value="Albania" data-code="+355 " data-gdpr="0">Albania</option>
      <option value="Algeria" data-code="+213 " data-gdpr="0">Algeria</option>
      <option value="American Samoa" data-code="+1684 " data-gdpr="0">American Samoa</option>
      <option value="Angola" data-code="+244 " data-gdpr="0">Angola</option>
      <option value="Anguilla" data-code="+1264 " data-gdpr="0">Anguilla</option>
      <option value="Antartica" data-code="+672 " data-gdpr="0">Antartica</option>
      <option value="Antigua and Barbuda" data-code="+1268 " data-gdpr="0">Antigua and Barbuda</option>
      <option value="Argentina" data-code="+54 " data-gdpr="0">Argentina</option>
      <option value="Armenia" data-code="+374 " data-gdpr="0">Armenia</option>
      <option value="Aruba" data-code="+297 " data-gdpr="0">Aruba</option>
      <option value="Ashmore and Cartier Island" data-code="+61 " data-gdpr="0">Ashmore and Cartier Island</option>
      <option value="Australia" data-code="+61 " data-gdpr="0">Australia</option>
      <option value="Austria" data-code="+43 " data-gdpr="1">Austria</option>
      <option value="Azerbaijan" data-code="+994 " data-gdpr="0">Azerbaijan</option>
      <option value="Azores" data-code="+351 " data-gdpr="1">Azores</option>
      <option value="Bahamas" data-code="+1242 " data-gdpr="0">Bahamas</option>
      <option value="Bangladesh" data-code="+880 " data-gdpr="0">Bangladesh</option>
      <option value="Barbados" data-code="+1246 " data-gdpr="0">Barbados</option>
      <option value="Belarus" data-code="+375 " data-gdpr="0">Belarus</option>
      <option value="Belgium" data-code="+32 " data-gdpr="1">Belgium</option>
      <option value="Belize" data-code="+501 " data-gdpr="0">Belize</option>
      <option value="Benin" data-code="+229 " data-gdpr="0">Benin</option>
      <option value="Bermuda" data-code="+1441 " data-gdpr="0">Bermuda</option>
      <option value="Bhutan" data-code="+975 " data-gdpr="0">Bhutan</option>
      <option value="Bolivia" data-code="+591 " data-gdpr="0">Bolivia</option>
      <option value="Bosnia and Herzegovina" data-code="+387 " data-gdpr="0">Bosnia and Herzegovina</option>
      <option value="Botswana" data-code="+267 " data-gdpr="0">Botswana</option>
      <option value="Brazil" data-code="+55 " data-gdpr="1">Brazil</option>
      <option value="British Virgin Islands" data-code="+1284 " data-gdpr="0">British Virgin Islands</option>
      <option value="Brunei" data-code="+673 " data-gdpr="0">Brunei</option>
      <option value="Bulgaria" data-code="+359 " data-gdpr="1">Bulgaria</option>
      <option value="Burkina Faso" data-code="+226 " data-gdpr="0">Burkina Faso</option>
      <option value="Burma" data-code="+95 " data-gdpr="0">Burma</option>
      <option value="Burundi" data-code="+257 " data-gdpr="0">Burundi</option>
      <option value="Cambodia" data-code="+855 " data-gdpr="0">Cambodia</option>
      <option value="Cameroon" data-code="+237 " data-gdpr="0">Cameroon</option>
      <option value="Canada" data-code="+1 " data-gdpr="0">Canada</option>
      <option value="Canary Islands" data-code="+34 " data-gdpr="1">Canary Islands</option>
      <option value="Cape Verde" data-code="+238 " data-gdpr="0">Cape Verde</option>
      <option value="Cayman Islands" data-code="+1345 " data-gdpr="0">Cayman Islands</option>
      <option value="Central African Republic" data-code="+236 " data-gdpr="0">Central African Republic</option>
      <option value="Chad" data-code="+235 " data-gdpr="0">Chad</option>
      <option value="Chile" data-code="+56 " data-gdpr="0">Chile</option>
      <option value="China" data-code="+86 " data-gdpr="0">China</option>
      <option value="Christmas Island" data-code="+61 " data-gdpr="0">Christmas Island</option>
      <option value="Clipperton Island" data-code="+592 " data-gdpr="0">Clipperton Island</option>
      <option value="Cocos (Keeling) Islands" data-code="+891 " data-gdpr="0">Cocos (Keeling) Islands</option>
      <option value="Colombia" data-code="+57 " data-gdpr="0">Colombia</option>
      <option value="Comoros" data-code="+269 " data-gdpr="0">Comoros</option>
      <option value="Congo, Democratic Republic of the" data-code="+243 " data-gdpr="0">Congo, Democratic Republic of the</option>
      <option value="Congo, Republic of the" data-code="+242 " data-gdpr="0">Congo, Republic of the</option>
      <option value="Cook Islands" data-code="+682 " data-gdpr="0">Cook Islands</option>
      <option value="Costa Rica" data-code="+506 " data-gdpr="1">Costa Rica</option>
      <option value="Cote d'Ivoire" data-code="+225 " data-gdpr="0">Cote d'Ivoire</option>
      <option value="Croatia" data-code="+385 " data-gdpr="1">Croatia</option>
      <option value="Cuba" data-code="+53 " data-gdpr="0">Cuba</option>
      <option value="Cyprus" data-code="+357 " data-gdpr="1">Cyprus</option>
      <option value="Czech Republic" data-code="+420 " data-gdpr="1">Czech Republic</option>
      <option value="Denmark" data-code="+45 " data-gdpr="1">Denmark</option>
      <option value="Djibouti" data-code="+253 " data-gdpr="0">Djibouti</option>
      <option value="Dominica" data-code="+1767 " data-gdpr="0">Dominica</option>
      <option value="Dominican Republic" data-code="+1809 " data-gdpr="0">Dominican Republic</option>
      <option value="Ecuador" data-code="+593 " data-gdpr="0">Ecuador</option>
      <option value="Egypt" data-code="+20 " data-gdpr="0">Egypt</option>
      <option value="El Salvador" data-code="+503 " data-gdpr="0">El Salvador</option>
      <option value="Equatorial Guinea" data-code="+240 " data-gdpr="0">Equatorial Guinea</option>
      <option value="Eritrea" data-code="+291 " data-gdpr="0">Eritrea</option>
      <option value="Estonia" data-code="+372 " data-gdpr="1">Estonia</option>
      <option value="Ethiopia" data-code="+251 " data-gdpr="0">Ethiopia</option>
      <option value="Europa Island" data-code=" " data-gdpr="0">Europa Island</option>
      <option value="Falkland Islands (Islas Malvinas)" data-code="+500 " data-gdpr="0">Falkland Islands (Islas Malvinas)</option>
      <option value="Faroe Islands" data-code="+298 " data-gdpr="0">Faroe Islands</option>
      <option value="Fiji" data-code="+679 " data-gdpr="0">Fiji</option>
      <option value="Finland" data-code="+358 " data-gdpr="1">Finland</option>
      <option value="France" data-code="+33 " data-gdpr="1">France</option>
      <option value="French Guiana" data-code="+594 " data-gdpr="1">French Guiana</option>
      <option value="French Polynesia" data-code="+689 " data-gdpr="0">French Polynesia</option>
      <option value="French Southern and Antarctic Lands" data-code="+262 " data-gdpr="0">French Southern and Antarctic Lands</option>
      <option value="Gabon" data-code="+241 " data-gdpr="0">Gabon</option>
      <option value="Gambia, The" data-code="+220 " data-gdpr="0">Gambia, The</option>
      <option value="Gaza Strip" data-code="+970 " data-gdpr="0">Gaza Strip</option>
      <option value="Georgia" data-code="+995 " data-gdpr="0">Georgia</option>
      <option value="Germany" data-code="+49 " data-gdpr="1">Germany</option>
      <option value="Ghana" data-code="+233 " data-gdpr="0">Ghana</option>
      <option value="Gibraltar" data-code="+350 " data-gdpr="0">Gibraltar</option>
      <option value="Glorioso Islands" data-code=" " data-gdpr="0">Glorioso Islands</option>
      <option value="Greece" data-code="+30 " data-gdpr="1">Greece</option>
      <option value="Greenland" data-code="+299 " data-gdpr="0">Greenland</option>
      <option value="Grenada" data-code="+1473 " data-gdpr="0">Grenada</option>
      <option value="Guadeloupe" data-code="+590 " data-gdpr="1">Guadeloupe</option>
      <option value="Guam" data-code="+1671 " data-gdpr="0">Guam</option>
      <option value="Guatemala" data-code="+502 " data-gdpr="0">Guatemala</option>
      <option value="Guernsey" data-code="+44 " data-gdpr="0">Guernsey</option>
      <option value="Guinea" data-code="+224 " data-gdpr="0">Guinea</option>
      <option value="Guinea-Bissau" data-code="+291 " data-gdpr="0">Guinea-Bissau</option>
      <option value="Guyana" data-code="+372 " data-gdpr="0">Guyana</option>
      <option value="Haiti" data-code="+251 " data-gdpr="0">Haiti</option>
      <option value="Heard Island and McDonald Islands" data-code=" " data-gdpr="0">Heard Island and McDonald Islands</option>
      <option value="Holy See (Vatican City)" data-code="+44 " data-gdpr="0">Holy See (Vatican City)</option>
      <option value="Honduras" data-code="+298 " data-gdpr="0">Honduras</option>
      <option value="Hong Kong" data-code="+679 " data-gdpr="0">Hong Kong</option>
      <option value="Howland Island" data-code="+358 " data-gdpr="0">Howland Island</option>
      <option value="Hungary" data-code="+33 " data-gdpr="1">Hungary</option>
      <option value="Iceland" data-code="+594 " data-gdpr="1">Iceland</option>
      <option value="Indonesia" data-code="+689 " data-gdpr="0">Indonesia</option>
      <option value="Iran" data-code="+98 " data-gdpr="0">Iran</option>
      <option value="Iraq" data-code="+241 " data-gdpr="0">Iraq</option>
      <option value="Ireland" data-code="+353 " data-gdpr="1">Ireland</option>
      <option value="Ireland, Northern" data-code="+353 " data-gdpr="0">Ireland, Northern</option>
      <option value="Israel" data-code="+972 " data-gdpr="0">Israel</option>
      <option value="Italy" data-code="+39 " data-gdpr="1">Italy</option>
      <option value="Jamaica" data-code="+1876 " data-gdpr="0">Jamaica</option>
      <option value="Jan Mayen" data-code="+47 " data-gdpr="0">Jan Mayen</option>
      <option value="Japan" data-code="+81 " data-gdpr="0">Japan</option>
      <option value="Jarvis Island" data-code=" " data-gdpr="0">Jarvis Island</option>
      <option value="Jersey" data-code="+590 " data-gdpr="0">Jersey</option>
      <option value="Johnston Atoll" data-code=" " data-gdpr="0">Johnston Atoll</option>
      <option value="Jordan" data-code="+962 " data-gdpr="0">Jordan</option>
      <option value="Juan de Nova Island" data-code=" " data-gdpr="0">Juan de Nova Island</option>
      <option value="Kazakhstan" data-code="+7 " data-gdpr="0">Kazakhstan</option>
      <option value="Kenya" data-code="+254 " data-gdpr="0">Kenya</option>
      <option value="Kiribati" data-code="+686 " data-gdpr="0">Kiribati</option>
      <option value="Korea, North" data-code="+850 " data-gdpr="0">Korea, North</option>
      <option value="Korea, South" data-code="+82 " data-gdpr="0">Korea, South</option>
      <option value="Kyrgyzstan" data-code="+996 " data-gdpr="0">Kyrgyzstan</option>
      <option value="Laos" data-code="+856 " data-gdpr="0">Laos</option>
      <option value="Latvia" data-code="+371 " data-gdpr="1">Latvia</option>
      <option value="Lebanon" data-code="+961 " data-gdpr="0">Lebanon</option>
      <option value="Lesotho" data-code="+266 " data-gdpr="0">Lesotho</option>
      <option value="Liberia" data-code="+231 " data-gdpr="0">Liberia</option>
      <option value="Libya" data-code="+218 " data-gdpr="0">Libya</option>
      <option value="Liechtenstein" data-code="+423 " data-gdpr="1">Liechtenstein</option>
      <option value="Lithuania" data-code="+370 " data-gdpr="1">Lithuania</option>
      <option value="Luxembourg" data-code="+352 " data-gdpr="1">Luxembourg</option>
      <option value="Macau" data-code="+853 " data-gdpr="0">Macau</option>
      <option value="Macedonia, Former Yugoslav Republic of" data-code="+389 " data-gdpr="0">Macedonia, Former Yugoslav Republic of</option>
      <option value="Madagascar" data-code="+261 " data-gdpr="0">Madagascar</option>
      <option value="Madeira" data-code="+351 " data-gdpr="1">Madeira</option>
      <option value="Malawi" data-code="+265 " data-gdpr="0">Malawi</option>
      <option value="Malaysia" data-code="+60 " data-gdpr="0">Malaysia</option>
      <option value="Maldives" data-code="+960 " data-gdpr="0">Maldives</option>
      <option value="Mali" data-code="+223 " data-gdpr="0">Mali</option>
      <option value="Malta" data-code="+356 " data-gdpr="1">Malta</option>
      <option value="Man, Isle of" data-code="+44 " data-gdpr="0">Man, Isle of</option>
      <option value="Marshall Islands" data-code="+692 " data-gdpr="0">Marshall Islands</option>
      <option value="Martinique" data-code="+596 " data-gdpr="1">Martinique</option>
      <option value="Mauritania" data-code="+222 " data-gdpr="0">Mauritania</option>
      <option value="Mauritius" data-code="+230 " data-gdpr="0">Mauritius</option>
      <option value="Mayotte" data-code="+262 " data-gdpr="1">Mayotte</option>
      <option value="Mexico" data-code="+52 " data-gdpr="0">Mexico</option>
      <option value="Micronesia, Federated States of" data-code="+691 " data-gdpr="0">Micronesia, Federated States of</option>
      <option value="Midway Islands" data-code="+808 " data-gdpr="0">Midway Islands</option>
      <option value="Moldova" data-code="+373 " data-gdpr="0">Moldova</option>
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      <option value="Montserrat" data-code="+1664 " data-gdpr="0">Montserrat</option>
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      <option value="Mozambique" data-code="+258 " data-gdpr="0">Mozambique</option>
      <option value="Namibia" data-code="+264 " data-gdpr="0">Namibia</option>
      <option value="Nauru" data-code="+674 " data-gdpr="0">Nauru</option>
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      <option value="Netherlands Antilles" data-code="+599 " data-gdpr="0">Netherlands Antilles</option>
      <option value="Netherlands" data-code="+31 " data-gdpr="1">Netherlands</option>
      <option value="New Caledonia" data-code="+687 " data-gdpr="0">New Caledonia</option>
      <option value="New Zealand" data-code="+64 " data-gdpr="0">New Zealand</option>
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      <option value="Niue" data-code="+683 " data-gdpr="0">Niue</option>
      <option value="Norfolk Island" data-code="+672 " data-gdpr="0">Norfolk Island</option>
      <option value="Northern Mariana Islands" data-code="+1 " data-gdpr="0">Northern Mariana Islands</option>
      <option value="Norway" data-code="+47 " data-gdpr="1">Norway</option>
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      <option value="Panama" data-code="+507 " data-gdpr="0">Panama</option>
      <option value="Papua New Guinea" data-code="+675 " data-gdpr="0">Papua New Guinea</option>
      <option value="Paraguay" data-code="+595 " data-gdpr="0">Paraguay</option>
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      <option value="Philippines" data-code="+63 " data-gdpr="0">Philippines</option>
      <option value="Pitcaim Islands" data-code="+64 " data-gdpr="0">Pitcaim Islands</option>
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      <option value="Rwanda" data-code="+250 " data-gdpr="0">Rwanda</option>
      <option value="Saint Helena" data-code="+290 " data-gdpr="0">Saint Helena</option>
      <option value="Saint Kitts and Nevis" data-code="+1869 " data-gdpr="0">Saint Kitts and Nevis</option>
      <option value="Saint Lucia" data-code="+1758 " data-gdpr="0">Saint Lucia</option>
      <option value="Saint Martin" data-code="+590 " data-gdpr="1">Saint Martin</option>
      <option value="Saint Pierre and Miquelon" data-code="+508 " data-gdpr="0">Saint Pierre and Miquelon</option>
      <option value="Saint Vincent and the Grenadines" data-code="+1784 " data-gdpr="0">Saint Vincent and the Grenadines</option>
      <option value="Samoa" data-code="+685 " data-gdpr="0">Samoa</option>
      <option value="San Marino" data-code="+378 " data-gdpr="0">San Marino</option>
      <option value="Sao Tome and Principe" data-code="+239 " data-gdpr="0">Sao Tome and Principe</option>
      <option value="Senegal" data-code="+221 " data-gdpr="0">Senegal</option>
      <option value="Seychelles" data-code="+248 " data-gdpr="0">Seychelles</option>
      <option value="Sierra Leone" data-code="+232 " data-gdpr="0">Sierra Leone</option>
      <option value="Singapore" data-code="+65 " data-gdpr="0">Singapore</option>
      <option value="Slovakia" data-code="+421 " data-gdpr="1">Slovakia</option>
      <option value="Slovenia" data-code="+386 " data-gdpr="1">Slovenia</option>
      <option value="Solomon Islands" data-code="+677 " data-gdpr="0">Solomon Islands</option>
      <option value="Somalia" data-code="+252 " data-gdpr="0">Somalia</option>
      <option value="South Africa" data-code="+27 " data-gdpr="0">South Africa</option>
      <option value="South Georgia and South Sandwich Islands" data-code="+995 " data-gdpr="0">South Georgia and South Sandwich Islands</option>
      <option value="Spain" data-code="+34 " data-gdpr="1">Spain</option>
      <option value="Spratly Islands" data-code=" " data-gdpr="0">Spratly Islands</option>
      <option value="Sri Lanka" data-code="+94 " data-gdpr="0">Sri Lanka</option>
      <option value="Sudan" data-code="+249 " data-gdpr="0">Sudan</option>
      <option value="Suriname" data-code="+597 " data-gdpr="0">Suriname</option>
      <option value="Svalbard" data-code="+47 " data-gdpr="0">Svalbard</option>
      <option value="Swaziland" data-code="+268 " data-gdpr="0">Swaziland</option>
      <option value="Sweden" data-code="+46 " data-gdpr="1">Sweden</option>
      <option value="Switzerland" data-code="+41 " data-gdpr="0">Switzerland</option>
      <option value="Syria" data-code="+963 " data-gdpr="0">Syria</option>
      <option value="Taiwan" data-code="+886 " data-gdpr="0">Taiwan</option>
      <option value="Tajikistan" data-code="+992 " data-gdpr="0">Tajikistan</option>
      <option value="Tanzania" data-code="+255 " data-gdpr="0">Tanzania</option>
      <option value="Thailand" data-code="+66 " data-gdpr="0">Thailand</option>
      <option value="Tobago" data-code="+1868 " data-gdpr="0">Tobago</option>
      <option value="Toga" data-code="+228 " data-gdpr="0">Toga</option>
      <option value="Tokelau" data-code="+690 " data-gdpr="0">Tokelau</option>
      <option value="Tonga" data-code="+676 " data-gdpr="0">Tonga</option>
      <option value="Trinidad" data-code="+1868 " data-gdpr="0">Trinidad</option>
      <option value="Tunisia" data-code="+216 " data-gdpr="0">Tunisia</option>
      <option value="Turkey" data-code="+90 " data-gdpr="0">Turkey</option>
      <option value="Turkmenistan" data-code="+993 " data-gdpr="0">Turkmenistan</option>
      <option value="Tuvalu" data-code="+688 " data-gdpr="0">Tuvalu</option>
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on multiple websites. This information is used to measure the efficiency of
advertisement on websites. 1 dayHTTPSMMicrosoftRegisters a unique ID that
identifies the user's device during return visits across websites that use the
same ad network. The ID is used to allow targeted ads.SessionHTTPCMIDCasale
MediaCollects visitor data related to the user's visits to the website, such as
the number of visits, average time spent on the website and what pages have been
loaded, with the purpose of displaying targeted ads.1 yearHTTPCMPROCasale
MediaCollects data on visitor behaviour from multiple websites, in order to
present more relevant advertisement - This also allows the website to limit the
number of times that they are shown the same advertisement. 3
monthsHTTPCMPSCasale MediaCollects visitor data related to the user's visits to
the website, such as the number of visits, average time spent on the website and
what pages have been loaded, with the purpose of displaying targeted ads.3
monthsHTTPrumCasale MediaCollects data related to the user's visits to the
website, such as the number of visits, average time spent on the website and
what pages have been loaded, with the purpose of displaying targeted
ads.SessionPixel_fbp [x3] Meta Platforms, Inc.
EmeritusUsed by Facebook to deliver a series of advertisement products such as
real time bidding from third party advertisers.3 monthsHTTP_uetsid [x3]Microsoft
GoogleCollects data on visitor behaviour from multiple websites, in order to
present more relevant advertisement - This also allows the website to limit the
number of times that they are shown the same advertisement. 1
dayHTTP_uetvid [x3]Microsoft
GoogleUsed to track visitors on multiple websites, in order to present relevant
advertisement based on the visitor's preferences. 1 yearHTTPdemdexAdobeVia a
unique ID that is used for semantic content analysis, the user's navigation on
the website is registered and linked to offline data from surveys and similar
registrations to display targeted ads.180 daysHTTPdpmAdobeSets a unique ID for
the visitor, that allows third party advertisers to target the visitor with
relevant advertisement. This pairing service is provided by third party
advertisement hubs, which facilitates real-time bidding for advertisers.180
daysHTTPIDEGoogleUsed by Google DoubleClick to register and report the website
user's actions after viewing or clicking one of the advertiser's ads with the
purpose of measuring the efficacy of an ad and to present targeted ads to the
user.1 yearHTTPpagead/landing [x2]GoogleCollects data on visitor behaviour from
multiple websites, in order to present more relevant advertisement - This also
allows the website to limit the number of times that they are shown the same
advertisement.
SessionPixelpagead/viewthroughconversion/819656061GooglePendingSessionPixel_an_uidj.6sc.coPresents
the user with relevant content and advertisement. The service is provided by
third-party advertisement hubs, which facilitate real-time bidding for
advertisers.7 daysHTTP_gcl_au [x2]GoogleUsed by Google AdSense for experimenting
with advertisement efficiency across websites using their services. 3
monthsHTTP_gd_sessionj.6sc.coCollects visitor data related to the user's visits
to the website, such as the number of visits, average time spent on the website
and what pages have been loaded, with the purpose of displaying targeted ads.1
dayHTTP_gd_svisitorj.6sc.coCollects visitor data related to the user's visits to
the website, such as the number of visits, average time spent on the website and
what pages have been loaded, with the purpose of displaying targeted ads.400
daysHTTP_gd_visitorj.6sc.coCollects visitor data related to the user's visits to
the website, such as the number of visits, average time spent on the website and
what pages have been loaded, with the purpose of displaying targeted ads.400
daysHTTP_uetsid_exp [x8]Microsoft
EmeritusContains the expiry-date for the cookie with corresponding name.
PersistentHTML_uetvid_exp [x8]Microsoft
EmeritusContains the expiry-date for the cookie with corresponding name.
PersistentHTMLhbuidHello BarUsed in context with pop-up advertisement-content on
the website. The cookie determines which ads the visitor should be shown, as
well as ensuring that the same ads does not get shown more than
intended.PersistentHTML_uetsid [x7]Microsoft
EmeritusUsed to track visitors on multiple websites, in order to present
relevant advertisement based on the visitor's preferences.
PersistentHTML_uetvid [x7]Microsoft
EmeritusUsed to track visitors on multiple websites, in order to present
relevant advertisement based on the visitor's preferences.
PersistentHTMLeng_mt [x6]Taboola
EmeritusTracks the conversion rate between the user and the advertisement
banners on the website - This serves to optimise the relevance of the
advertisements on the website. PersistentHTMLvisitor_id# [x6]PardotUsed in
context with Account-Based-Marketing (ABM). The cookie registers data such as
IP-addresses, time spent on the website and page requests for the visit. This is
used for retargeting of multiple users rooting from the same IP-addresses. ABM
usually facilitates B2B marketing purposes.10
yearsHTTPvisitor_id#-hash [x6]PardotUsed to encrypt and contain visitor data.
This is necessary for the security of the user data. 10 yearsHTTPtrMeta
Platforms, Inc.Used by Facebook to deliver a series of advertisement products
such as real time bidding from third party
advertisers.SessionPixelads/ga-audiencesGoogleUsed by Google AdWords to
re-engage visitors that are likely to convert to customers based on the
visitor's online behaviour across
websites.SessionPixelpagead/1p-conversion/#GoogleCollects data on visitor
behaviour from multiple websites, in order to present more relevant
advertisement - This also allows the website to limit the number of times that
they are shown the same advertisement.
SessionPixelpagead/1p-user-list/#GoogleTracks if the user has shown interest in
specific products or events across multiple websites and detects how the user
navigates between sites. This is used for measurement of advertisement efforts
and facilitates payment of referral-fees between
websites.SessionPixel__ptq.gifHubspotSends data to the marketing platform
Hubspot about the visitor's device and behaviour. Tracks the visitor across
devices and marketing channels.SessionPixelcallbackID5Collects data on visitor
behaviour from multiple websites, in order to present more relevant
advertisement - This also allows the website to limit the number of times that
they are shown the same advertisement. 1 dayHTTPcarID5Presents the user with
relevant content and advertisement. The service is provided by third-party
advertisement hubs, which facilitate real-time bidding for advertisers.1
dayHTTPcfID5Sets a unique ID for the visitor, that allows third party
advertisers to target the visitor with relevant advertisement. This pairing
service is provided by third party advertisement hubs, which facilitates
real-time bidding for advertisers.1 dayHTTPcipID5Presents the user with relevant
content and advertisement. The service is provided by third-party advertisement
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dayHTTPcnacID5Presents the user with relevant content and advertisement. The
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advertisers.SessionPixel_pin_unauthPinterestUsed by Pinterest to track the usage
of services.1 yearHTTP_schnsc-static.netTracks the individual sessions on the
website, allowing the website to compile statistical data from multiple visits.
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purposes.SessionHTTP_scidsc-static.netSets a unique ID for the visitor, that
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advertisement. This pairing service is provided by third party advertisement
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relevant.30 daysHTTPtfpsiTeadsRegisters user behaviour and navigation on the
website, and any interaction with active campaigns. This is used for optimizing
advertisement and for efficient retargeting. 1 dayHTTPtimes_to_showGoogleUsed to
determine when and where certain pop-ups on the website should be presented for
the user and remember whether the user has closed these, to keep them from
showing multiple times.PersistentHTMLtt_appInfoTiktokUsed by the social
networking service, TikTok, for tracking the use of embedded
services.SessionHTMLtt_pageIdTiktokUsed by the social networking service,
TikTok, for tracking the use of embedded
services.SessionHTMLtt_pixel_session_indexTiktokUsed by the social networking
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TikTok, for tracking the use of embedded
services.SessionHTMLu_sclidsc-static.netSets a unique ID for the visitor, that
allows third party advertisers to target the visitor with relevant
advertisement. This pairing service is provided by third party advertisement
hubs, which facilitates real-time bidding for
advertisers.PersistentHTML_kuid_SalesforceRegisters a unique ID that identifies
a returning user's device. The ID is used for targeted ads.180
daysHTTPoutbrain_cid_fetch [x3]Outbrain
EmeritusCollects data on the user’s navigation and behavior on the website. This
is used to compile statistical reports and heatmaps for the website owner.1
dayHTTPbcookieLinkedInUsed by the social networking service, LinkedIn, for
tracking the use of embedded services.2 yearsHTTPbscookieLinkedInUsed by the
social networking service, LinkedIn, for tracking the use of embedded services.2
yearsHTTPli_sugrLinkedInCollects data on user behaviour and interaction in order
to optimize the website and make advertisement on the website more relevant. 3
monthsHTTPlidcLinkedInUsed by the social networking service, LinkedIn, for
tracking the use of embedded services.1 dayHTTPUserMatchHistoryLinkedInEnsures
visitor browsing-security by preventing cross-site request forgery. This cookie
is essential for the security of the website and visitor. 30
daysHTTPw/1.0/sdOpenxRegisters data on visitors such as IP addresses,
geographical location and advertisement interaction. This information is used
optimize the advertisement on websites that make use of OpenX.net services.
SessionPixellpv#PardotUsed in context with behavioral tracking by the website.
The cookie registers the user’s behavior and navigation across multiple websites
and ensures that no tracking errors occur when the user has multiple
browser-tabs open. 1 dayHTTPv3PinterestUsed by Pinterest to track the usage of
services.SessionPixelpoptin_c_visitorPoptinUsed in context with pop-up
advertisement-content on the website. The cookie determines which ads the
visitor should be shown, as well as ensuring that the same ads does not get
shown more than intended.29 daysHTTPpoptin_client_idPoptinUsed in context with
pop-up advertisement-content on the website. The cookie determines which ads the
visitor should be shown, as well as ensuring that the same ads does not get
shown more than intended.SessionHTMLpoptin_every_visit_sessionPoptinImplements
pop-up advertisement on the website. SessionHTMLpoptin_new_userPoptinImplements
pop-up advertisement on the website. SessionHTMLpoptin_old_userPoptinUsed in
context with pop-up advertisement-content on the website. The cookie determines
which ads the visitor should be shown, as well as ensuring that the same ads
does not get shown more than intended.1
dayHTTPpoptin_origin_landing_pagePoptinImplements pop-up advertisement on the
website. SessionHTMLpoptin_referrerPoptinUsed in context with pop-up
advertisement-content on the website. The cookie determines which ads the
visitor should be shown, as well as ensuring that the same ads does not get
shown more than intended.1 dayHTTPpoptin_sessionPoptinImplements pop-up
advertisement on the website. 1 dayHTTPpoptin_user_idPoptinUsed in context with
pop-up advertisement-content on the website. The cookie determines which ads the
visitor should be shown, as well as ensuring that the same ads does not get
shown more than intended.1 yearHTTPAdServer/PugPubMaticSets a timestamp for when
the visitor entered the website. This is used for analytical purposes on the
website. SessionPixelKRTBCOOKIE_#PubMaticRegisters a unique ID that identifies
the user's device during return visits across websites that use the same ad
network. The ID is used to allow targeted ads.30
daysHTTP_/ad/75aa344edeef4dbfa3b3dd7cb5f40e6f/pixelQuoraCollects data on user
behaviour and interaction in order to optimize the website and make
advertisement on the website more relevant.
SessionPixel#.gifLiveRampPendingSessionPixelpxrcLiveRampThis cookie registers
data on the visitor. The information is used to optimize advertisement
relevance. 2 monthsHTTPrlas3LiveRampCollects visitor data related to the user's
visits to the website, such as the number of visits, average time spent on the
website and what pages have been loaded, with the purpose of displaying targeted
ads.1 yearHTTPSEUNCYSemasioRegisters a unique ID that identifies the user's
device for return visits.1
yearHTTPserving/cookie/syncserver.seadform.netPresents the user with relevant
content and advertisement. The service is provided by third-party advertisement
hubs, which facilitate real-time bidding for
advertisers.SessionPixelredirSmartPresents the user with relevant content and
advertisement. The service is provided by third-party advertisement hubs, which
facilitate real-time bidding for advertisers.SessionPixelsc_atSnap Inc.Used by
Snapchat to implement advertisement content on the website - The cookie detects
the efficiency of the ads and collects visitor data for further visitor
segmentation.1 yearHTTPUIDFreewheelUnique user ID that recognizes the user on
returning visits30 daysHTTPuid-bp-#FreewheelPending2
monthsHTTPuser-registeringFreewheelSets a unique ID for the visitor, that allows
third party advertisers to target the visitor with relevant advertisement. This
pairing service is provided by third party advertisement hubs, which facilitates
real-time bidding for advertisers.SessionPixeli/adsct [x2]Twitter Inc.The cookie
is used by Twitter.com in order to determine the number of visitors accessing
the website through Twitter advertisement content. SessionPixelmuc_adsTwitter
Inc.Collects data on user behaviour and interaction in order to optimize the
website and make advertisement on the website more relevant. 400
daysHTTPTapAd_3WAY_SYNCSTapadUsed for data-synchronization with advertisement
networks.2 monthsHTTPTapAd_DIDTapadUsed to determine what type of devices
(smartphones, tablets, computers, TVs etc.) is used by a user.2
monthsHTTPTapAd_TSTapadUsed to determine what type of devices (smartphones,
tablets, computers, TVs etc.) is used by a user.2
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yearHTTPul_cb/syncYOCCollects information on user behaviour on multiple
websites. This information is used in order to optimize the relevance of
advertisement on the website.SessionPixelum2YOCSets a unique ID for the visitor,
that allows third party advertisers to target the visitor with relevant
advertisement. This pairing service is provided by third party advertisement
hubs, which facilitates real-time bidding for advertisers. 1
yearHTTPmatchadformDataxuPresents the user with relevant content and
advertisement. The service is provided by third-party advertisement hubs, which
facilitate real-time bidding for advertisers.30 daysHTTPwfivefivecDataxuCollects
data on the user's visits to the website, such as what pages have been loaded.
The registered data is used for targeted ads.13 monthsHTTPAFFICHE_WWeboramaUsed
by the advertising platform Weborama to determine the visitor's interests based
on pages visits, content clicked and other actions on the website.1
yearHTTPA3OathCollects information on user behaviour on multiple websites. This
information is used in order to optimize the relevance of advertisement on the
website.1 yearHTTPDEVICE_INFOYouTubeUsed to track user’s interaction with
embedded content.179 daysHTTPVISITOR_INFO1_LIVEYouTubeTries to estimate the
users' bandwidth on pages with integrated YouTube videos.180
daysHTTPYSCYouTubeRegisters a unique ID to keep statistics of what videos from
YouTube the user has
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player preferences using embedded YouTube
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player preferences using embedded YouTube
videoSessionHTMLyt-remote-connected-devices [x2]YouTubeStores the user's video
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videoPersistentHTMLyt-remote-device-id [x2]YouTubeStores the user's video player
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preferences using embedded YouTube videoSessionHTML

Unclassified cookies are cookies that we are in the process of classifying,
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Batch 6 Advanced Data Analytics for Managers Designed to emphasise the
importance of being industry-ready in a data-driven future
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DOWNLOAD BROCHURE
STARTS ON March 28, 2023 Live Online Sessions Application Deadline: March 20,
2023

DURATION 10 Months Live Online Sessions 3 Hours/ week Saturday 3:30 PM to 6:30
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PROGRAMME FEE INR 1,81,500 + GST View Payment Plan Special Corporate Enrolment
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ELIGIBILITY Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a
recognised university in any discipline with a minimum of 1 year of work
experience (after graduation) as on March 28, 2023.
STARTS ON March 28, 2023 Live Online Sessions Application Deadline: March 20,
2023

DURATION 10 Months Live Online Sessions 3 Hours/ week Saturday 3:30 PM to 6:30
PM

PROGRAMME FEE INR 1,81,500 + GST View Payment Plan

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Why enrol in this Data Analytics programme
Advanced Data Analytics for Managers Other Data Analytics programmes (Online via
recorded lectures) All classes are delivered via LIVE ONLINE format by IIMK
faculty & industry experts


Executive ALUMNI Status


PEER-TO-PEER learning through weekly interactions with other participants


Accredited institution Dual accreditation No accreditation Best-in-class
curriculum Created by one of India’s premier B-School Created by a
non-accredited institution FLEXIBLE PAYMENT options with multiple instalments




PROGRAMME OVERVIEW

 * 100+
   
   Learning Hours

 * 10
   
   Transformative Modules

 * 1
   
   Capstone Project

 * 200+
   
   Learners

 * 4+
   
   Case Studies

IIM Kozhikode’s Advanced Data Analytics for Managers is a guidepost to spur your
understanding of analytics. This programme will help you manage and maximize a
company’s data assets, integrate analytics into decisions and processes, and
power innovation for businesses.

This programme’s focus on real-world examples, case studies, and practical
sessions will ensure that you build a strong foundation in business analytics
and make high-output business decisions.

Note: The numerical programme presented above are approximate, and they will be
confirmed closer to the programme start.

WHY ENROL IN LIVE ONLINE LEARNING?

Why enrol in this Data Analytics programme
Advanced Data Analytics for Managers Other Data Analytics programmes (Online via
recorded lectures) All classes are delivered via LIVE ONLINE format by IIMK
faculty & industry experts


Executive ALUMNI Status


PEER-TO-PEER learning through weekly interactions with other participants


Accredited institution Dual accreditation No accreditation Best-in-class
curriculum Created by one of India’s premier B-School Created by a
non-accredited institution FLEXIBLE PAYMENT options with multiple instalments



 * $98B
   
   The predicted market size of the Indian analytics industry by 2025
   
   Source: Analytics India Industry Study 2021

 * 34.6%
   
   increase in the market value of the analytics industry in India in 2022
   
   Source: Analytics India Industry Study 2022

 * $215 B
   
   was the estimated global spend on big data and business analytics solutions
   in 2021, a 10% increase from 2021
   
   Source: IDC, 2021


THE IIM KOZHIKODE ADVANTAGE

#2

Atal Innovation

Rankings (ARIIA) 2021

#3

India's Best B-School

The Week - Hansa Research Survey 2022

#5

NIRF India Rankings
2022: Management

Watch IIM Kozhikode INTRO VIDEO


WHO IS THIS PROGRAMME FOR?

This programme is best suited for mid to senior-level professionals seeking to
gain cutting-edge analytical skills to establish a career in Business data
Analytics and Data Science.

Professionals looking to develop a data-driven decisionmaking approach and the
ability to leverage analytics for business growth and scale will also benefit
from the programme.


PROGRAMME HIGHLIGHTS

10-month immersive and interactive programme

Learn through lectures, assignments and case studies

Peer-to-peer networking

Taught by distinguished IIM Kozhikode faculty

Comprehensive Capstone Project

Lifelong Executive Alumni Status

DOWNLOAD BROCHURE


PROGRAMME MODULES

MODULE 1: INTRODUCTION TO DATA ANALYTICS & R

 * Introduction R environment
 * IDE-R studio
 * Installing packages and loading packages in R
 * Creating variables
 * Scalars, vectors & matrices
 * List, data frames & data types
 * Converting between vector types
 * Cbind & Rbind
 * Attach and detach functions
 * Reading .csv and .txt files
 * Importing data from excel
 * Loading and storing data with a clipboard
 * Saving in R data, loading R data objects
 * Writing data into the file
 * Writing text and output from analyses to file
 * Rmarkdown

MODULE 2: UNDERSTANDING DATA STRUCTURE

 * Data subsets
 * Selecting rows/observations
 * Rounding a number
 * Creating a string from variable
 * Factor labels
 * Selecting columns/fields
 * Merging data
 * Relabelling the column names
 * Data sorting, data aggregation, and finding and removing duplicate records
 * Application of dplyr package (select, arrange, mutate, aggregate, summarise,
   and group)

MODULE 3: DATA VISUALISATION

 * Basics of data visualisation using ggplot2
 * Aesthetic mappings
 * Common problems
 * Facets
 * Geometric objects
 * Position adjustments
 * Coordinate systems
 * The layered grammar of graphics
 * Combining plots
 * Execution of various types of plots (box plot, histogram, pie chart, line
   chart, scatterplot, word cloud, probability plots, mosaic plots,
   correlograms, and interactive graphs)

MODULE 4: PRE-PROCESS THE DATA

 * Data cleaning
 * Handling missing data
 * Data imputation
 * Feature filtering
 * Categorical feature filtering
 * Identifying misclassifications
 * Data transformation
 * Min-max normalisation
 * Z-score
 * Standardisation
 * Decimal scaling
 * Transformations to achieve normality
 * Outliers
 * Graphical methods for identifying outliers
 * Numerical methods for identifying outliers
 * Flag variables
 * Transforming categorical variables into numerical variables
 * Binning numerical variables reclassifying categorical variables
 * Adding an index field
 * Removing variables that are not useful
 * Data balancing techniques

MODULE 5: EXPLORATORY DATA ANALYSIS

 * Hypothesis testing versus exploratory data analysis
 * Getting to know the data set
 * Exploring categorical variables
 * Exploring numeric variables
 * Exploring multivariate relationships
 * Selecting interesting subsets of the data for further investigation
 * Using EDA to uncover anomalous fields
 * Binning based on predictive value
 * Deriving new variables: flag variables
 * Deriving new variables: numerical variables
 * Using EDA to investigate correlated predictor variables
 * Need for dimension-reduction in data mining
 * Principal components analysis (PCA)
 * Application of PCA

MODULE 6: STATISTICAL INFERENCES

 * Statistical inference
 * Confidence interval estimation of the mean
 * The margin of error
 * Confidence interval estimation of the proportion
 * Hypothesis testing for the mean
 * Assessing the strength of evidence against the null hypothesis
 * Using confidence intervals to perform hypothesis tests
 * One-sample t-test
 * Paired sample t-test
 * Chi-square test for goodness of fit of multinomial data
 * Analysis of variance (ANOVA)

MODULE 7: BASICS OF MODELLING

 * Supervised versus unsupervised methods
 * Statistical methodology and data mining methodology
 * Cross-validation
 * Overfitting
 * Bias-variance trade-off
 * Balancing the training data set
 * Establishing baseline performance
 * Simple regression analysis
 * Model formulation
 * Verifying the regression assumptions
 * Inference in regression
 * Multiple regression analysis
 * Dummy variable
 * Stepwise regression analyses

MODULE 8: CLASSIFICATION

 * k-nearest neighbour algorithm
 * Decision tree
 * Random forest
 * Neural networks for estimation and prediction
 * Application of logistic regression for estimation and prediction
 * Naïve bayes and Bayesian networks

MODULE 9: CLUSTERING

 * Hierarchical Clustering Methods
 * k-Means Clustering
 * Measuring Cluster Goodness
 * Affinity Analysis
 * Market Basket Analysis

MODULE 10: TEXT MINING & SOCIAL MEDIA ANALYSIS

 * Text mining and sentiment analysis
 * Social media analytics (Twitter)
 * Lexicon analysis
 * Social network analysis

DOWNLOAD SYLLABUS


TOOLS



Note:
- R will be the primary tool for Data Science
- Tableau will be the primary tool for Data Visualisation


IIM KOZHIKODE EXECUTIVE ALUMNI STATUS

On successful completion of the programme, participants will be eligible for the
prestigious IIM Kozhikode Executive Alumni Status. These participants will
subsequently receive the alumni registration details from IIM Kozhikode.

Note: The Executive Alumni benefits are subject to the discretion of IIM
Kozhikode.


LEARNING OUTCOMES

 * Gain an in-depth understanding of data structures and data analysis to
   explore and visualise data for meaningful insights and identify relationships
   between large data sets
 * Learn to use analytical tool such as R to manipulate and analyse complex data
   sets and become proficient in building machine learning models using R
 * Explore text mining analysis/techniques to understand the influence of social
   media applications
 * Understand the nuances and applications of descriptive, predictive, and
   prescriptive analytics to enhance analytical skills and make real-time,
   data-driven business decisions
 * Gain the skills and knowledge required to manage data science and analytics
   teams or projects at your organisation
 * Get the managerial expertise of the tools and techniques used in Data
   Analytics and Machine Learning for business applications

DOWNLOAD BROCHURE


REAL-WORLD CASE STUDIES

DATA SCIENCE AT TARGET BY SRIKANT M. DATAR, CAITLIN N. BOWLER (HARVARD BUSINESS
PUBLISHING)

Exploring the technological and organisational challenges of a retail giant and
trade-offs considered to develop it into a data science organisation.

PREDICTING EARNINGS MANIPULATION BY INDIAN FIRMS USING MACHINE LEARNING
ALGORITHMS BY DINESH KUMAR UNNIKRISHNAN, TOUSIF AHMED INAYATH SYED, SURESH
GANESHAN (HARVARD BUSINESS PUBLISHING)

Using machine learning algorithms instead of traditional models such as Beneish
model for better accuracy in Predicting Earnings Manipulation by Indian Firms.

ARMACORD INCORPORATED: COMBATTING MONEY-LAUNDERING USING DATA ANALYTICS BY DAVIT
KHACHATRYAN (HARVARD BUSINESS PUBLISHING)

Exploring predictive analytic solution, in the form of a time series model for
combating money laundering.


FREE ONE-YEAR ACCESS TO EMERITUS INSIGHTS

This programme features 1 year of free Premium Access to Emeritus Insights—a
mobile app with 5,000+ bite-sized, business-focused videos to help you meet your
daily learning goals on the go.


PARTICIPANT TESTIMONIALS

"Course content was well curated for a manager’s need. Prof. Sreejesh is an
excellent Teacher and he took immense efforts in ensuring everyone understood
the lessons. The course was excellent. I do not have any prior experience in
Data Science domain, this course provided me confidence to manage Data Science
Projects."

HARIKUMAR VASUDEVAN NAIR

"I personally liked the following aspects of the program, The Faculty, Professor
Sreejesh's ability to teach such a difficult subject so effectively to a diverse
audience from the industry is amazing and commendable. The platform is
glitch-free and we have never faced any issues while using it. The timeliness of
all communications."

KAPIL CHOURASIYA


PAST PARTICIPANT PROFILES

Work Experience
Top Industries
 * Infrastructure & Logistics
 * Manufacturing
 * IT & Services
 * Banking & Finance
   
   
 * Others*

*Others include Healthcare & Pharmaceuticals Shipping, Retail, Media,
Consulting, etc.

Top Functions
 * Management
 * Operations
 * Finance & Accounting
 * Marketing & Sales
 * Others#

#Others include Customer Service, Engineering, Consulting, Legal etc.

Top Companies
 * Capgemini
 * Cisco Systems
 * Infosys
 * Johnson & Johnson
 * Oracle
 * Philips India


PAST PARTICIPANTS OF EMERITUS WORK AT

Note: All product and company names are trademarks or registered trademarks of
their respective holders. Use of them does not imply any affiliation with or
endorsement by them.


PROGRAMME DIRECTORS

PROF. SREEJESH S, PHD

Programme Director & Associate Professor,

Marketing Management

Professor Sreejesh's primary research interests include marketing analytics,
brand management, services marketing, and online marketing & advertising. His
publications have appeared in Journal of Brand Management, Industrial Marketing
Management, European Journal of Marketing, Computers in Human Behaviour, Journal
of Travel and Tourism Marketing, International Journal of Contemporary
Hospitality Management, Internet Research, Journal of Product and Brand
Management, Journal of Service Theory and Practice, International Journal of
Bank Marketing, etc. He serves on the editorial board of International Journal
of Consumer Studies. He has also authored books of international repute with
Pearson India and Springer International. Prof. Sreejesh S is currently working
as an Assistant Professor of Marketing Management at IIM Kozhikode.

Read More

Note:
- Programme Directors might change due to unavoidable circumstances, and revised
details will be provided closer to programme start date.


PROGRAMME CERTIFICATE

Participants who successfully complete all evaluation components with minimum
pass marks and meet the requisite 75% minimum attendance criteria will be
awarded a Certificate of Completion from IIM Kozhikode. Participants who are
unable to clear the evaluation criteria but have the requisite attendance will
be awarded a Participation Certificate.



Note: All certificate images are for illustrative purposes only and may be
subject to change at the discretion of IIM Kozhikode.


EMERITUS CAREER SERVICES

 * Three 90-minute workshops from career management industry experts
 * Job placement assistance from partner companies are published, applied to,
   and tracked to success via an online platform (offered in partnership with
   Superset)
 * Past participants of Emeritus work at Microsoft, ICICI Bank, Infosys, HDFC,
   AirBnB, TCS, Ola, Flipkart, JSW, Wipro, Honeywell, JP Morgan, Reliance Jio,
   Mahindra, Gartner, Accenture, Cognizant, amongst others

Please note:

 * This service is available only for Indian residents enrolled into select
   Emeritus programmes.
 * IIM Kozhikode or Emeritus do NOT promise or guarantee a job or progression in
   your current job. Career Services is only offered as a service that empowers
   you to manage your career proactively. The Career Services mentioned here are
   offered by Emeritus. IIM Kozhikode is NOT involved in any way and makes no
   commitments regarding the Career Services mentioned here.


EARLY APPLICATIONS ENCOURAGED. LIMITED SEATS ARE AVAILABLE.

VIEW PAYMENT PLAN

SPECIAL CORPORATE ENROLMENT PRICING


ROUND 1: THE FIRST APPLICATION DEADLINE IS
JAN 30, 2023 AND THE FEE TO APPLY IS INR 1,500 + GST


ROUND 2: THE SECOND APPLICATION DEADLINE IS
FEB 23, 2023 AND THE FEE TO APPLY IS INR 2,000 + GST


ROUND 3: THE THIRD APPLICATION DEADLINE IS
MAR 20, 2023 AND THE FEE TO APPLY IS INR 2,500 + GST

START APPLICATION NOW


THE LEARNING EXPERIENCE 

What is it like to learn with the learning collaborator, Emeritus? 

More than 300,000 professionals globally, across 200 countries, have chosen to
advance their skills with Emeritus and its educational learning partners. In
fact, 90 percent of the respondents of a recent survey across all our programs
said that their learning outcomes were met or exceeded. All the contents of the
course would be made available to students at the commencement of the course.
However, to ensure the program delivers the desired learning outcomes, the
students may appoint Emeritus to manage the delivery of the program in a
cohort-based manner during the course period the cost of which is already
included in the overall Course fee of the course.

A dedicated program support team is available 7 days a week to answer questions
about the learning platform, technical issues, or anything else that may affect
your learning experience.

In collaboration with

Erulearning Solutions Private Limited (a company incorporated in India) is a
subsidiary of Eruditus Learning Solutions Pte Ltd (a company incorporated in
Singapore), and operates under the brand name of 'Eruditus' and 'Emeritus'.

DOWNLOAD BROCHURE
×

VIEW PAYMENT PLAN

The following instalment options are available for IIM Kozhikode's Advanced Data
Analytics for Managers:

PROGRAMME FEE: INR 1,81,500 + GST

Instalment Amount Remarks Booking Amount INR 18,000 + GST Within 7 days post
selection Instalment 1 INR 28,000 + GST Mar 31, 2023 Instalment 2 INR 81,000 +
GST Jul 01, 2023 Instalment 3 INR 54,500 + GST Nov 01, 2023

Note:
- GST (currently @ 18%) will be charged extra on these components

APPLICATION DEADLINES

Application Fee Dates Round 1 INR 1,500 + GST Jan 30, 2023 Round 2 INR 2,000 +
GST Feb 23, 2023 Round 3 INR 2,500 + GST Mar 20, 2023

Note: Postage charges for books and study materials sent to locations outside of
India will be paid for by the student.
×

Eligibility for IIM Kozhikode - Advanced Data Analytics for Managers is
Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognised university
in any discipline with a minimum of 1 year of work experience (after graduation)
as on March 28, 2023.

Please visit https://bit.ly/1ALBbHX to explore more programmes with respect to
your work experience.

×

SPECIAL CORPORATE ENROLMENT PRICING

Special pricing up to 10% discount is available if you enrol with your
co-workers.

Name*

Email*

Company*

Designation*

Mobile*

How many enrolments are you looking for?*

Query

CONFIRM
×

STUDENT LOANS AND FINANCING

Emeritus has partnered with student loan provider who can provide loans to
Emeritus' students. You may be able to avail a student loan if you meet the
conditions set by the loan provider. The loan providers that we have currently
partnered with are:

 * Propelld (https://propelld.com)
 * Eduvanz (https://eduvanz.com)

STUDENT LOAN DETAILS

Programme Fee Maximum Loan Amount Available Tenure (months) EMI INR 1,65,000 +
GST INR 1,94,700 36 INR 9,735

Note:

 * The above EMI's are indicative. The EMI's offered by each of the loan
   providers might vary from the above figures, depending upon tenure and loan
   amount to be disbursed.
 * Other EMI tenures available (Months):
   Propelld: 6/12/18/24/30/36/42/48
   Eduvanz: 12/24/36/48

HOW TO APPLY FOR A STUDENT LOAN?

STEP 1: You must complete the

 * Application process for the programme
 * Pay the application fees or booking amount (as appropriate for the programme)
 * Receive an email from the educational institution confirming your selection
   for the programme

STEP 2: You must complete the loan application form available at the below
mentioned URLs

 * For Propelld at https://propelld.com/signin
 * For Eduvanz at https://eduvanz.com/emeritus-india

If you need assistance in filling out the loan application form please email
Emeritus at info@emeritus.org mentioning the name of the programme you are
interested in.

STEP 3: An agent from the loan provider will call, email or visit you and assist
you with your loan application. Loan approvals take varying amounts of time. You
can discuss how long it would take with the agent who speaks to you.

Please Note:

 * Emeritus does NOT make any recommendation on whether students should or
   should not avail of a loan to enrol into its programmes. The decision of
   whether to avail of a loan is exclusively your decision to make.
 * Approving of a loan is a decision made exclusively by the loan provider. The
   loan provider may decline your loan application.
 * Emeritus does not recommend any specific loan provider. You are required to
   conduct your own due diligence before making a choice of the loan provider.
   Please note that loan providers will charge an interest in providing you with
   a loan. Loan providers may include other charges such as a processing fees,
   documentation charges etc. before disbursal of loan.
 * Emeritus encourages students to carefully read the terms and conditions of
   loan providers before availing of a loan.
 * Emeritus does not bear any financial obligation related to the loan you apply
   for. Your financial obligation on the loan you avail of is to the loan
   provider.
 * If you default on your loan repayment obligation to a loan provider, Emeritus
   may notify you to meet your loan repayment obligation.
 * Your loan provider may initiate loan recovery proceedings as per applicable
   law.
 * Your loan provider will transfer the loan amounts directly to Emeritus as
   required under the arrangement that the loan provider has with Emeritus.
 * On specific request by the loan provider, Emeritus may inform the loan
   provider about your employment status, the programme fees, the programme
   duration and your attendance information on the programme.
 * Failure to obtain a loan by you cannot be a reason to seek delayed payment
   schedule from Emeritus and the grant of admission may be withdrawn, if
   payments are not made by the student as per the listed payment schedule.

×

DOCUMENTS REQUIRED TO APPLY

Applying to the programme? We suggest you keep the following 3 documents ready.

1. Your Photo ID Proof:

 * You can submit a scanned copy of ANY ONE of: Aadhaar Card, e-Aadhaar, PAN
   Card or the first two pages of your Passport. In case you submit an e-Aadhaar
   card, please rename the file to its password so we can open the file.

2. Your Graduation/Degree:

 * You can submit a scanned copy of ANY ONE of: Degree certificate, provisional
   Degree certificate, marks transcript or score transcript.

3. Your Work Experience Certificate:

 * You can submit scanned copy(ies) of document(s) which demonstrate that you
   have the minimum work experience required by the programme.
 * You can confirm the minimum work experience requirement of a programme under
   the heading ‘Eligibility' in the brochure or the programme website.
 * Examples of documents you can submit are joining letter, relieving letter,
   Bonafide work experience letter from your HR, salary slips etc.
    * These documents must be issued by your company.
    * Please ensure that the document(s) you submit contain a date of joining
      and a date of leaving or a statement about the number of years you have
      worked at the company.

×

EMERITUS CAREER SERVICES

 * Three 90-minute workshops from career management industry experts
 * Job placement assistance from partner companies are published, applied to,
   and tracked to success via an online platform (offered in partnership with
   Superset)
 * Past participants of Emeritus work at Microsoft, ICICI Bank, Infosys, HDFC,
   AirBnB, TCS, Ola, Flipkart, JSW, Wipro, Honeywell, JP Morgan, Reliance Jio,
   Mahindra, Gartner, Accenture, Cognizant, amongst others

Please note:

 * This service is available only for Indian residents enrolled into select
   Emeritus programmes.
 * IIM Kozhikode or Emeritus do NOT promise or guarantee a job or progression in
   your current job. Career Services is only offered as a service that empowers
   you to manage your career proactively. The Career Services mentioned here are
   offered by Emeritus. IIM Kozhikode is NOT involved in any way and makes no
   commitments regarding the Career Services mentioned here.



×

IIM KOZHIKODE EXECUTIVE ALUMNI STATUS

On successful completion of the programme, participants will be eligible for the
prestigious IIM Kozhikode Executive Alumni Status. These participants will
subsequently receive the alumni registration details from IIM Kozhikode.

×

PROF. SREEJESH S, PHD

Programme Director & Associate Professor,

Marketing Management

Professor Sreejesh's primary research interests include marketing analytics,
brand management, services marketing, and online marketing & advertising. His
publications have appeared in Journal of Brand Management, Industrial Marketing
Management, European Journal of Marketing, Computers in Human Behaviour, Journal
of Travel and Tourism Marketing, International Journal of Contemporary
Hospitality Management, Internet Research, Journal of Product and Brand
Management, Journal of Service Theory and Practice, International Journal of
Bank Marketing, etc. He serves on the editorial board of International Journal
of Consumer Studies. He has also authored books of international repute with
Pearson India and Springer International. Prof. Sreejesh S is currently working
as an Assistant Professor of Marketing Management at IIM Kozhikode.

×

PROF. M. P. SEBASTIAN

Professor & Area Chair

Information Systems

Professor Sebastian received both his masters and PhD degrees from the Indian
Institute of Science, Bangalore. His research interests include artificial
intelligence, machine learning, cybersecurity, enterprise and cloud computing,
healthcare ICT, etc. He has guided 10 PhDs and is a PhD Examiner of many reputed
institutions including NTU Singapore, IIT Bombay and IIT Madras.

✕

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