About this Specialization

110,649 recent views
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data. The five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.
Learner Career Outcomes
38%
Started a new career after completing this specialization.
15%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 5 months to complete
Suggested 8 hours/week
English
Learner Career Outcomes
38%
Started a new career after completing this specialization.
15%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 5 months to complete
Suggested 8 hours/week
English

There are 5 Courses in this Specialization

Course1

Course 1

The Data Scientist’s Toolbox

4.6
stars
30,624 ratings
6,528 reviews
Course2

Course 2

R Programming

4.5
stars
20,275 ratings
4,347 reviews
Course3

Course 3

Getting and Cleaning Data

4.6
stars
7,668 ratings
1,243 reviews
Course4

Course 4

Exploratory Data Analysis

4.7
stars
5,797 ratings
838 reviews

Offered by

Placeholder

Johns Hopkins University

The logo of one of the Industry Partners

Frequently Asked Questions

More questions? Visit the Learner Help Center.