Data Academy

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The Data Academy is designed for data professionals who want to maintain and grow their data expertise. In today’s world, data is the lifeblood of any successful business, and data professionals are in higher demand than ever before. The Data Academy subscription includes courses built by industry experts, hands-on practice with real datasets, and frequent knowledge checks. At the end, learners will be true data subject matter experts, though some prefer to be called “data deities”.

WHAT IT IS
A subscription to 70+ in-depth courses, quizzes, and hands-on practice opportunities designed to make you a data whiz. 

WHY YOU NEED IT
Because the world is powered by data, and an expert-level understanding of data principles and applications is key to getting ahead.

TOPICS COVERED
Data Fundamentals, Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning.

Our Academies are not only organized by topic, but suggested orders are included within each, allowing you to go in order or jump around — you control what you learn next, not us.

ALREADY SUBSCRIBED TO THE DATA ACADEMY?
GET STARTED WITH DATA STORAGE!
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Introduction to Data Storage

You will build your first AI system, and look at optimization in this course.


CHOOSE A DATA ACADEMY TOPIC BELOW TO START LEARNING


courses included in the data academy subscription

The Python Workshop
The Statistics and Calculus Workshop
  1. Introduction to Python: Structures and Tools
  2. Understanding Python’s Main Tools in Statistics
  3. Employing Python’s Tools with Statistics
  4. Using Functions and Algebra with Python
  5. Mathematics with Python
  6. Extending Mathematics with Python
  7. Exploring and Visualizing Statistics with Python
  8. Applying Foundational Probability Concepts
  9. Developing Python’s Use in Statistics
  10. Beginning Calculus with Python
  11. Extending Calculus with Python
  12. Practicing Calculus with Python
The Applied Data Science Workshop

The Data Wrangling Workshop
The Applied SQL Workshop
The Artificial Intelligence Infrastructure Workshop
The Data Analysis Workshop
The Data Visualization Workshop

The Applied Artificial Intelligence Workshop
The Natural Language Processing Workshop
The Computer Vision Workshop
  1. Introduction to Image Processing
  2. Performing Basic Image Operations
  3. Working with Histograms
  4. Working with Contours
  5. Detecting Facial Images
  6. Tracking Objects
  7. Performing Object Detection and Facial Recognition
  8. Using OpenVINO and OpenCV

The Machine Learning Workshop
The Supervised Learning Workshop
The Unsupervised Learning Workshop
The Reinforcement Learning Workshop
  1. Introduction to Reinforcement Learning
  2. Introduction to The Markov Decision Process and Dynamic Programming
  3. Practice Deep Learning with TF2
  4. Getting Started with OpenAI and TensorFlow for RL
  5. Introduction to Dynamic Programming
  6. Introduction to Monte Carlo Methods
  7. Introduction to Temporal-Difference Learning
  8. Solving the Multi Armed Bandit Problem
  9. Introduction to Deep Q Learning
  10. Playing Doom with a Deep Recurrent Q Network
  11. Introduction to Policy Based Methods for Reinforcement Learning
  12. Discussing Evolutionary Strategies for Reinforcement Learning
  13. Discussing Advancements for Reinforcement Learning
The Applied AI and Natural Language Processing Workshop

The Deep Learning with Tensorflow Workshop
The Deep Learning with PyTorch Workshop
The Deep Learning with Keras Workshop
The Applied Tensorflow and Keras Workshop