Harvard X Data Science R Basics Course

Data Science: R Basics

We strongly recommend participants commit to the following weekly schedule. Learners who follow this pace are more likely to earn the Verified Certificate than those who take a more leisurely approach. For more specifics on your grade, please click on the “Progress” tab within the course.

Participants must earn a minimum score of 70% or 76 points to receive a Verified Certificate.

Course Pace Chart

Section

Topics

Assessment(s)

Points

Introduction and Welcome

Important Pre-Course Survey

None

–

Week

1 & 2

R Basics, Functions and Data Types

Section 1 Overview

1.1 Motivation and Getting Started

1.2 R Basics

1.3 Data Types

Section 1 Assessment

· Data Camp Assessment

· Section 1 Assessment

6.5

Week

3 & 4

Vectors, Sorting

Section 2 Overview

2.1 Vectors

2.2 Sorting

2.3 Vector Arithmetic

Section 2 Assessment

· Data Camp Assessment

· Section 2 Assessment

12.5

Week

5 & 6

Section 3: Indexing, Data Wrangling, Plots

Section 3 Overview

3.1 Indexing

3.2 Basic Data Wrangling

3.3 Basic Plots

Section 3 Assessment

· Data Camp Assessment

· Section 3 Assessment

Week

7 & 8

Section 4: Programming Basics

Section 4 Overview

4.1 Introduction to Programming in R

4.2 Conditionals

4.3 Functions

4.4 For Loops

Section 4 Assessment

· Data Camp Assessment

· Section 4 Assessment

9.5

Total Points Possible

107.5

Grading

There are 9 interactive programming exercises using the DataCamp platform, and 4 sets of exercises directly on the edX platform. These 13 sets of exercises together make up 100% of your grade. All other components of the course, such as the discussion boards, are not for credit.

Pearson makes every effort to ensure the accuracy of this document although there are cases when a course team may change the grading policy so participants should always make sure to double-check the course grading policy.