Learn to process and convert raw data into formats needed for analysis.

Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.

Show what you've learned from the Professional Certificate Program in Data Science.

Learn basic data visualization principles and how to apply them using ggplot2.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

This facilitated Bootcamp enables you to complete the standard Data Science: Visualization course in less time! Rapidly develop skills you need to leverage data to reveal valuable insights and advance your career.

Learn inference and modeling, two of the most widely used statistical tools in data analysis.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

This facilitated Bootcamp enables you to complete the standard Data Science: R Basics course in less time! A foundation in R will ensure you know how to wrangle, analyze and visualize data.

Learn how statistics plays a central role in the data science approach.

Learn the principles of machine learning and the importance of algorithms.

This facilitated Bootcamp enables you to complete the standard Statistical Thinking for Data Science and Analytics course in less time! Rapidly learn how to use effectively collect, analyze and derive conclusions from data.

This facilitated Bootcamp enables you to complete the standard Python Basics for Data Science course in less time! Quickly learn how to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment.

This course is an introduction to linear algebra. You will discover the basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems.

The Jupyter Notebook is a popular tool for learning and performing data science in Python (and other languages used in data science).

Discover the relationship between Big Data and the Internet of Things (IoT).

Data Science Fundamentals LiveLessons teaches you the foundational concepts, theory, and techniques you need to know to become an effective data scientist. The videos present you with applied, example-driven lessons in Python and its associated ecosystem of libraries, where you get your hands dirty with real datasets and see real results.

Data Science Fundamentals Part II teaches you the foundational concepts, theory, and techniques you need to know to become an effective data scientist. The videos present you with applied, example-driven lessons in Python and its associated ecosystem of libraries, where you get your hands dirty with real datasets and see real results.