Data Science & Analytics Courses

Want in on the fields revolutionizing modern business? Then check out these data science and analytics courses.
Data science and data analytics are two sides of the same coin. One uses data to understand the present, the other to model the future.
Being familiar with one is good. But using these data science and analytics courses to know both is the best way to ensure future success.
You’ll learn things like industry best practices and the most common tools. Plus, of course, important techniques like machine learning and regression analysis.
Countless organisations rely on this kind of analysis. Start today to begin your journey with big data!

Learn to use R programming to apply linear models to analyze data in life sciences.

Short Course
Intermediate
4 weeks
Short Course
Beginner
20 hours
Free Trial
Short Course
Beginner
25 hours
Free Trial
Short Course
Beginner
12 hours
Free Trial
Harvard University Online Courses

Data Science: Linear Regression

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

Short Course
Beginner
8 weeks
MIT courses

Digital Marketing Analytics

MIT Sloan School of Management on GetSmarter

Learn to apply data analytics knowledge to enhance your marketing efforts, and earn an official digital certificate of completion from MIT Sloan.

Pro. Certificate
Beginner
6 weeks
$2,500
Microoft courses

Introduction to Data Analysis using Excel

Microsoft on edX

Learn the basics of Excel, one of the most popular data analysis tools, to help visualize and gain insights from your data.

Short Course
Beginner
4 weeks
Short Course
Intermediate
16 hours
Free Trial
Google on Coursera

Learn in-demand skills like data modeling, data visualization, and dashboarding and reporting in less than 2 months.

Pro. Certificate
Beginner
2 months
Free Trial

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

Short Course
Intermediate
4 weeks
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