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Overview
Ask the right questions, manipulate data sets, and create visualizations to communicate results.
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 Data Science - Foundations using R Specialization offered by Coursera in partnership with Johns Hopkins University 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.
Applied Learning Project
In taking the Data Science: Foundations using R Specialization, learners will complete a project at the ending of each course in this specialization. Projects include, installing tools, programming in R, cleaning data, performing analyses, as well as peer review assignments.
What you'll learn
- Use R to clean, analyze, and visualize data.
- Learn how to ask the right questions, obtain data, and perform reproducible research.
- Use GitHub to manage data science projects.
Programme Structure
Courses include:
- The Data Scientist’s Toolbox
- R Programming
- Getting and Cleaning Data
- Exploratory Data Analysis
- Base Plotting System in R
- Reproducible Research
Key information
Duration
- Part-time
- 4 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 463 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner Level
- No prior experience required.
- This specialization is aimed at beginners and learners interested in data science who want to develop foundational skills in using R for data cleaning, analysis, visualization, and reproducible research.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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