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John Hopkins University - Data Science: Foundations using R Specialization 

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Data Science: Foundations using R Specialization
 at 
Coursera 
Overview

Learn how to ask the right questions, obtain data, and perform reproducible research

Duration

5 months

Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Data Science: Foundations using R Specialization
 at 
Coursera 
Highlights

  • Earn a certificate upon completion from John Hopkins University
  • Hands-on project for practical learning
  • Financial aid available
  • Gain expertise on widely used skills like -Data Science, Machine Learning, Github, R Programming, Exploratory Data Analysis
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Details Icon

Data Science: Foundations using R Specialization
 at 
Coursera 
Course details

What are the course deliverables?
  • Use R to clean, analyze, and visualize data
  • Use GitHub to manage data science projects
  • Set up R, R-Studio, Github and other useful tools
More about this course
  • 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

Data Science: Foundations using R Specialization
 at 
Coursera 
Curriculum

The Data Scientist's Toolbox

R Programming

Getting and Cleaning Data

Exploratory Data Analysis

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Data Science: Foundations using R Specialization
 at 
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Students Ratings & Reviews

5/5
Verified Icon3 Ratings
S
Saurabh Sharma
Data Science: Foundations using R Specialization
Offered by Coursera
5
Learning Experience: I will say I learned quite a bit in this course, I also enjoyed myself & So that says something. The assignments were very beneficial to the entire learning process. However, I felt the tests were a bit unexpected, (some material was not discussed thoroughly enough.) If there was one thing that I would recommend to help the class it would be an accompanying audio lecture to the power points. I feel like this would have cleared up some of the points that I had neglected to focus on. Some food for thought, so thank you for an incredible class.
Faculty: Overall I enjoyed the course. I liked that everything was straight forward. There never was any confusion on assignments, which is always a plus with online courses. I’ve taken online courses where assignments would be confusing and the teacher was slow to respond to emails. The one thing that I disliked was that you were not able to look at an assignment after the due date. If you weren't able to turn in the assignment on time you weren’t able to look at the assignment to try to turn it in late. Despite that, I enjoyed the course. I really liked the flexibility of this course. It worked well with busy scheduling, and the expectations were clear and upfront. One draw back was that if you didn't understand a lab, or the data from the lab that was provided, it was difficult to eventually find the answers from the weblab. However, I thougth the weblabs were very interestign and very realistic and up to date. I thought the class notes that followed each chapter were very well detailed and the book supported the chapters very well to.
Course Support: No career support provided
Reviewed on 3 Jul 2022Read More
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M
Madhur
Data Science: Foundations using R Specialization
Offered by Coursera
5
Other: A really great course that pushes the boundaries of getting your hands dirty with data science. From working to understanding how data is manipulated, its just great.
Reviewed on 16 Oct 2020Read More
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Data Science: Foundations using R Specialization
 at 
Coursera 

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