- Machine Learning
- R Programming
- Regression Analysis
- Data Science
- Data Analysis
- Data Manipulation
- Regular Expression (REGEX)
- Data Cleansing
- Cluster Analysis
Data Science Specialization
Launch Your Career in Data Science. A ten-course introduction to data science, developed and taught by leading professors.
What you will learn
Use R to clean, analyze, and visualize data.
Navigate the entire data science pipeline from data acquisition to publication.
Use GitHub to manage data science projects.
Perform regression analysis, least squares and inference using regression models.
Skills you will gain
About this Specialization
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 10 Courses in this Specialization
The Data Scientist’s Toolbox
Getting and Cleaning Data
Exploratory Data Analysis
Frequently Asked Questions
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What background knowledge is necessary?
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More questions? Visit the Learner Help Center.