Courses and Nanodegree Programs

Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings.

In collaboration with: Kaggle Tableau Mode

Learn Python, Statistics and Linear Algebra to get your foundations right and ready for the advanced Machine Learning Engineer Nanodegree Program.

In collaboration with: kaggle

Become a machine learning engineer and apply predictive models to massive data sets in fields like education, finance, healthcare or robotics.

In collaboration with: kaggle

Covers supervised and unsupervised learning, which is core to Machine Learning

In collaboration with: kaggle

The Segmentation & Clustering course provides students with the knowledge to build and apply clustering models to develop sophisticated segmentation in business contexts.
Learn the fundamentals of data visualization and practice communicating with data.
The Time Series Forecasting course provides students with the foundational knowledge to build and apply time series forecasting models in a variety of business contexts.
Learn how to use classification predictive models to solve business problems involving non-numeric data.

In collaboration with: Alteryx

This course will teach you how to start from scratch in understanding and paying attention to what is important in the data and how to answer questions about data.

In collaboration with: AT&T

The A/B Testing course provides students with the foundational knowledge to design and analyze A/B tests to create business insights and support decision making.
Learn the fundamentals of data visualization and apply design and narrative concepts to create your own visualization.
This class will teach you the end-to-end process of investigating data through a machine learning lens, and you'll apply what you've learned to a real-world data set.
In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of Big Data in the real world!

In collaboration with: Cloudera

The world is trending in real time! Learn Apache Storm, taught by Twitter, to scalably analyze real-time tweets and drive d3 visualizations. Storm is free, open and fun!

In collaboration with: Twitter

Explore a variety of datasets, posing and answering your own questions about each. You'll be using the Python libraries NumPy, Pandas, and Matplotlib.
Learn how to prepare data to ensure the efficacy of your analysis while improving fluency in Alteryx.

In collaboration with: Alteryx

Learn a scientific approach to solving problems with data, a foundational skill for anyone interested in making data driven decisions in a business context.

In collaboration with: Alteryx

What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!
Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis.

In collaboration with: Facebook

Intro to Descriptive Statistics will teach you the basic concepts of statistics that can be used to extract information from data.
Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!
In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

In collaboration with: Georgia Institute of Technology

Study machine learning at a deeper level and become a participant in the reinforcement learning research community.

In collaboration with: Georgia Institute of Technology

Data Scientists spend most of their time cleaning data. In this course, you will learn to convert and manipulate messy data to extract what you need.

In collaboration with: MongoDB

Learn key computer science concepts in this introductory Python course. You'll learn by doing, and will build your own search engine and social network.
Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.
Show off what you've learned in your Nanodegree program with a project that defines

In collaboration with: Google

Design and implement an A/B test to determine the efficacy of potential improvements to an online site or mobile app while specifying metrics to measure.

In collaboration with: Google

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