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Johns Hopkins University

Data Science: Foundations using R

Johns Hopkins University via Coursera Specialization

Overview

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.

Syllabus

Course 1: The Data Scientist’s Toolbox
- Offered by Johns Hopkins University. In this course you will get an introduction to the main tools and ideas in the data scientist's ... Enroll for free.

Course 2: R Programming
- Offered by Johns Hopkins University. In this course you will learn how to program in R and how to use R for effective data analysis. You ... Enroll for free.

Course 3: Getting and Cleaning Data
- Offered by Johns Hopkins University. Before you can work with data you have to get some. This course will cover the basic ways that data can ... Enroll for free.

Course 4: Exploratory Data Analysis
- Offered by Johns Hopkins University. This course covers the essential exploratory techniques for summarizing data. These techniques are ... Enroll for free.

Course 5: Reproducible Research
- Offered by Johns Hopkins University. This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible ... Enroll for free.

Courses

Taught by

Brian Caffo, PhD, Jeff Leek, PhD and Roger D. Peng, PhD

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