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Course on Data Science: Foundations Using R by John Hopkins University [5 Months, Online]: Enroll Now!

About the 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.

What you will 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.
  • Set up R, R-Studio, Github and other useful tools

There are 5 Courses in this Specialization

  • The Data Scientist’s Toolbox
  • R Programming
  • Getting and Cleaning Data
  • Exploratory Data Analysis
  • Reproducible Research

Instructors

  • Jeff Leek, PhD
    Associate Professor, Biostatistics
    Bloomberg School of Public Health
  • Roger D. Peng, PhD
    Associate Professor, Biostatistics
    Bloomberg School of Public Health
  • Brian Caffo, PhD
    Professor, Biostatistics
    Bloomberg School of Public Health

To enroll in this course, click the link below.

Course on Data Science: Foundations Using R by John Hopkins University

Note: Noticebard is associated with Coursera through an affiliate programme.

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