Professional Certificate in Foundations of Data Science
A data science program for everyone.
Number of Courses
3 Courses
Program Duration
2 – 4 months
Program Duration
3 – 8 hours each week, per course
Professional Certificate in Data Science
Real-world case studies to jumpstart your career
Number of Courses
9 Courses
Program Duration
1 year 5 months
Professional Certificate in Data Science for Executives
Learn the foundations and power of data science
Number of Courses
3 Courses
Program Duration
4 Months
Program Duration
7 - 10 Hours per week
Relevant Courses
Data Science: Capstone
Show what you've learned from the Professional Certificate Program in Data Science.
Program Duration
2 Weeks
Program Duration
15 - 20 Hours per week
Next Start
Jan 27, 2021 - Jun 30, 2021
Data Science: Probability
Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.
Program Duration
8 Weeks
Program Duration
1 - 2 Hours per week
Next Start
Jan 27, 2021 - Jun 30, 2021
Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
Program Duration
8 Weeks
Program Duration
1 - 2 Hours per week
Next Start
Jan 27, 2021 - Jun 30, 2021
Data Science: Linear Regression
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Program Duration
8 Weeks
Program Duration
1–2 hours per week
Next Start
Jan 27, 2021 - Jun 30, 2021
Data Science: Productivity Tools
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.
Program Duration
8 Weeks
Program Duration
1 - 2 Hours per week
Next Start
Jan 27, 2021 - Jun 30, 2021
Data Science: Inference and Modeling
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
Program Duration
8 Weeks
Program Duration
1 - 2 Hours per week
Next Start
Jan 27, 2021 - Jun 30, 2021
Data Science: Inferential Thinking through Simulations
Learn how to test hypotheses, draw inferences, and make robust conclusions based on data.
Program Duration
5 Weeks
Program Duration
4–6 hours per week
Next Start
Today - May 31, 2021
Data Science Fundamentals, Part I: Learning Basic Concepts, Data Wrangling, and Databases with Python
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.
Next Start
Today - Dec 31, 2021
Using Jupyter Notebooks for Data Science Analysis in Python
The Jupyter Notebook is a popular tool for learning and performing data science in Python (and other languages used in data science).
Program Duration
4 Hours
Next Start
Today - Dec 31, 2021
Data Science Fundamentals, Part II: Machine Learning and Statistical Analysis
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.
Next Start
Today - Dec 31, 2021
Data Science: Wrangling
Learn to process and convert raw data into formats needed for analysis.
Program Duration
8 Weeks
Program Duration
1 - 2 Hours per week
Next Start
Jan 27, 2021 - Jun 30, 2021
Data Science: R Basics
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Program Duration
8 Weeks
Program Duration
1 - 2 Hours per week
Next Start
Jan 27, 2021 - Jun 30, 2021
Data Science: Machine Learning
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Program Duration
8 Weeks
Program Duration
2 - 4 Hours per week
Next Start
Jan 27, 2021 - Jun 30, 2021
Data Science: Computational Thinking with Python
Learn the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language, Python.
