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PRAGMATIC DATA

Reshaping the future of data-driven success.

Experience data science training that translates into actionable data skills and
embraces a business-oriented approach, empowering you to seamlessly integrate
data into everyday decision-making.

Elevate your team’s capabilities and drive success in the dynamic landscape of
today’s data-driven business environments.

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THE DATA INCUBATOR BOOTCAMPS


THE DATA INCUBATOR BOOTCAMPS


THE DATA INCUBATOR BOOTCAMPS

The Data Incubator is Now Pragmatic Data
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CORPORATE DATA SCIENCE TRAINING FROM PRAGMATIC

Our data science courses cater to a wide range of professionals, from business
leaders seeking practical data training to technical training for business
analysts, data analysts, data scientists, and software engineers.


BUSINESS COURSES

Elevate your team’s capabilities with data courses designed for business leaders
with little to no experience with data. These courses will empower you to
confidently utilize data in day-to-day business operations and decision making.

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SEMI-TECHNICAL COURSES

Deepen your knowledge and enhance your career with data science courses
developed by industry experts. These courses are designed for those with a
strong educational background and analytical skills.

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TECHNICAL COURSES

Take your skills further with our technical data science courses. Designed for
data professionals, these expert-led courses offer hands-on guidance and
practical knowledge you can immediately apply in your work.

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DATA TRAINING FOR BUSINESS LEADERS

Empower your business leaders and teams with practical and powerful data
harnessing skills. Our data courses provide practical data skills and hands-on
instruction led by industry experts.


DATA SCIENCE FOR BUSINESS LEADERS

This 7-hour data science online course helps business leaders learn how to
partner with data professionals to uncover opportunities and drive results.
Created for those with little or no data experience, this course will empower
you to better understand and leverage data.

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BUSINESS-DRIVEN DATA ANALYSIS

This 8-week online course shows you how to translate business problems into
actionable insights and communicate those insights to diverse stakeholders.
Designed for experienced data analysts, this data course arms you with a proven
and repeatable approach to data analysis.

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NAVIGATING ETHICS IN ANALYTICS

This course explores the ethical, privacy, and legal dimensions of data and
analytics. Taken as a half- or full-day live online course, it is ideal for
professionals who use analytics, including risk management, legal, and
compliance leaders. You’ll explore the challenges of collecting and analyzing
data responsibly, ethical decision-making, and legal frameworks around data
practices.

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WINNING THE ROOM WITH DATA-DRIVEN PRESENTATIONS

This course delves into the art of crafting impactful data-driven presentations
for a non-technical audience. Available as a half- or full-day live online
course, it’s designed for business or technical professionals that present data
and analytics content. You’ll learn to communicate complex data in engaging
ways, focusing on storytelling, clarity, and visual effectiveness while
maintaining accuracy and credibility.

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GENERATIVE AI FOR BUSINESS LEADERS

This course is for executives that want to understand the business impact of AI
and gAI. Ideal for those without an analytics or data background, you’ll get a
foundational understanding of how the technology works and how to use it to meet
business objectives. By the end of this course you’ll be able to weigh the
benefits of AI and gAI, as well as understand the limitations, tradeoffs, and
legal and ethical implications.

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DATA SCIENCE SEMI-TECHNICAL COURSES

Data Wrangling with Python

Embark on a 4-week data wrangling journey tailored for those with little to no
data experience. This online course will guide you through the basics of Python
and pandas, enabling you to transform raw data into more readily used formats
and apply basic data analysis techniques to solve real-world problems. This
course will prepare you with the necessary tools to ingest, process, and analyze
numeric data from a variety of sources.

By the end of the course, you’ll be equipped with practical and powerful
data-wrangling skills you can immediately apply.

AI & Machine Learning

Discover the dynamic landscape of AI and Machine Learning (ML) in our hands-on
4-week online course. Designed for those with basic Python and pandas
experience, you’ll learn how to apply data science skills to solve everyday
business challenges. The course will deepen your understanding of key ML
concepts, including regression, classification, and clustering, using advanced
tools like scikit-learn.

By the end of the course, you’ll grasp machine learning fundamentals, construct
and train models, automate data transformations, and evaluate ML algorithm
performance.

gAI for Natural Language Processing (NLP)

Explore the world of generative AI and Large Language Models (LLMs) in our
engaging 4-week online course. Created for those with basic Python and pandas
experience who want to use data science skills to solve business problems. This
course will introduce you to the practical applications of LLMs, including
prompt crafting and natural language processing.

By the end of this course, you’ll understand LLMs, craft prompts, extract
sentiment and topics from text, and process and analyze data with confidence.


DATA SCIENCE TECHNICAL COURSES

Intro to Machine Learning

This 4-week online course is for analysts or those pursuing a data science
career. It covers the fundamentals of machine learning and how to apply them
with scikit-learn. You will learn how to build models that will be useful in a
business context, including regression, classification, clustering, and
dimensionality reduction. The course includes hands-on experience,
mini-projects, and office hours for additional support.

By the end of this course, you will have a thorough understanding of machine
learning including linear and logistic regression, model evaluation, and
strategies to prevent overfitting.

Advanced Machine Learning

This 4-week online course is for analysts or those pursuing a data science
career. It explores advanced machine learning and specialized areas like natural
language processing, time series forecasting, and recommendation engines. The
course includes hands-on experience, two projects, and office hours for
additional support.

By the end of the course, you will have expanded your ML knowledge and gained
practical experience by building a recommendation engine and time series
forecasting model.

Data Visualization

This 4-week online course is designed for analysts, those pursuing a data
science career, and those looking to improve their data communication skills. It
focuses on transforming complex data into clear, visual narratives using Python
visualization libraries and tools like Matplotlib, Seaborn, and Altair. The
course includes hands-on experience, mini-projects, and office hours for
additional support.

By the end of the course, you will have a deeper understanding of how humans
interpret visual information and how to create powerful graphs and interactive
visualizations.

Deep Learning with TensorFlow & Keras

This 4-week online course is for analysts or those pursuing a data science
career. You’ll get hands-on experience in building, training, and customizing
models using TensorFlow and Keras. Starting from implementing simple networks by
hand, this course builds to making use of advanced pre-trained models with
transfer learning. You’ll complete a practical mini-project on image
classification, with the help of guidance during office hours.

By the end of the course, you’ll be familiar with convolutional neural networks,
recurrent neural networks, and adversarial noise.

Distributed Computing & AI with Spark

This 4-week online course is for analysts or those pursuing a data science
career. It covers the fundamental concepts of distributed computing, working
with PySpark using DataFrames and RDDs, and SparkML for machine learning. The
course includes hands-on experience, mini-projects, and office hours for
additional support.

By the end of this course, you will know how to use PySpark to process large
data sets, analyze both structured and unstructured data, build machine learning
models on large scale data, and deploy Spark jobs to cloud services.

SQL Techniques for Advanced Data Analysis

This 4-week online course is for analysts or those pursuing a data science
career. It starts from the basics of SQL queries and builds to advanced
techniques, table management, integrating SQL into Python, and window functions.
The course includes hands-on experience, mini-projects, and office hours for
additional support.

By the end of this course, you will understand the foundations of SQL queries
and know how to interface Python with SQL for effective data analysis.


DATA ENGINEERING TECHNICAL COURSES

Database Fundamentals for AI

This 4-week online course is ideal for technical professionals with a foundation
in analytics or data management. It dives into the role of databases in AI
applications, covering the design and management of relational database systems
(RDBMS) coupled with practical SQL query training. The course includes hands-on
experience, mini-projects, and office hours for additional support.

By the end of this course, you will have a thorough understanding of the role of
RDBMS in AI, relational database fundamentals, and SQL querying.

Cloud Computing Fundamentals

This 4-week online course is for technical professionals interested in
transitioning data analytical workloads to the cloud. It offers a comprehensive
introduction to cloud computing, covering key concepts, services, and best
practices, with a focus on Amazon Web Services (AWS). The course includes
hands-on experience, mini-projects, and office hours for additional support.

By the end of this course, you will be proficient in using cloud-based storage
and compute resources, particularly AWS S3 and Lambda, to solve business
problems.

MLOps

This 4-week online course is designed for technical professionals interested in
mature machine learning practices (MLOps). It covers the essentials of managing,
deploying, and monitoring machine learning in production, with a focus on
practical applications. The course includes hands-on experience, mini-projects,
and office hours for additional support.

By the end of this course, you will be well-versed in the steps of MLOps, know
how to track experiments in scikit-learn, and understand how to identify common
anti-patterns.

Advanced Data Storage Architectures

This 4-week online course is tailored for technical professionals including
software engineers, data scientists, and big data architects. It delves into the
core principles and practical applications of modern data storage solutions,
including data lakes, data warehouses, and vector databases. The course includes
hands-on experience, mini-projects, and office hours for additional support.

By the end of this course, you will have a comprehensive understanding of
contemporary data storage architectures, including the construction of data
lakes and data warehouses on AWS.

Spark for Data Engineering

This 4-week online course is ideal for technical professionals interested in
large-scale data engineering. With a focus on Apache Spark and its applications
in data processing and analysis, you will gain practical skills in using it for
data processing, transformation, and analysis. The course includes hands-on
experience, mini-projects, and office hours for additional support.

By the end of this course, you will have practical Apache Spark skills for data
engineering, focusing on ETL processes, data transformation, and analysis.

Building Streaming Data Systems

This 4-week online course is designed for technical professionals interested in
real-time data processing. It offers a comprehensive introduction to building
streaming data systems using Apache Kafka and Apache Spark, both separately and
in tandem. The course includes hands-on experience, mini-projects, and office
hours for additional support.

By the end of this course, you will have a thorough understanding of streaming
data concepts and the practical skills to architect and implement real-time data
processing systems.

Building Scalable Data Pipelines

This 4-week online course is ideal for technical professionals aiming to enhance
their data pipeline skills. It focuses on building scalable pipelines using
Apache Airflow and AWS Lambda Service, teaching you to orchestrate, automate,
and scale ETL workloads. The course includes hands-on experience, mini-projects,
and office hours for additional support.

By the end of this course, you will have a solid understanding of data pipeline
fundamentals, proficiency in Apache Airflow, and practical skills in utilizing
AWS Lambda.


WHAT OUR PRAGMATIC DATA ALUMNI ARE SAYING

The projects allowed me to make the transition from part-time programmer/data
scientist to adopting and using analytical problem solving and programming
skills full time. I find I learn best by doing things myself, and these projects
effectively provided me with that opportunity.

ERIC JAEHNIG, DATA SCIENTIST


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