Introduction to R Programming for Data Science

BY
IBM via Coursera

Learn the fundamental concepts and approaches of R programming to use it for data science tasks.

Lavel

Beginner

Mode

Online

Duration

5 Weeks

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The Introduction to R Programming for Data Science online certification was developed by IBM Skills Network and instructed by Yan Luo, Ph.D., Data Scientist, and Developer and is made available through Coursera and is targeted at individuals who are interested in learning the fundamental ideas behind data science and data analysis operations using the features of R programming. The Introduction to R Programming for Data Science online course teaches individuals about the fundamentals of the R language, including data types, data manipulation methods, and how to carry out basic programming operations.

Introduction to R Programming for Data Science online classes contains 10 hours of video-based study materials that introduce individuals to basic programming concepts, standard data structures, and data manipulation techniques, all with the assistance of the R programming language. Individuals who successfully finish this program will be able to develop a basic program in RStudio, work with data in a data frame or matrix, and complete the final project as professional data analysts utilizing Watson Studio and Jupyter notebooks to gather and evaluate data-driven insights.

The highlights

  • Shareable certificate of completion
  • Self-paced course
  • 10 hours effort
  • 100% online content
  • Flexible deadlines

Program offerings

  • English video lectures with subtitles
  • 100% online content
  • Learning resources
  • Graded assignments
  • Practice quizzes
  • Graded quizzes
  • Accessible on mobile devices and tv.

Course and certificate fees

Depending upon the number of hours required to complete the learning, the candidates may choose from any of the following Introduction to R Programming for Data Science certification fees mentioned in the table down below. All these structures include certificates after course completion.

Introduction to R Programming for Data Science Fee Details

Description

Amount in INR

1 Month

Rs. 3,277/month

3 MonthRs. 2,185/month
6 MonthRs. 1,639/month
certificate availability

Yes

certificate providing authority

Coursera

What you will learn

Data science knowledge R programming

After completing the Introduction to R Programming for Data Science certification course, individuals will be introduced to the basic concepts of R programming for data science activities. Individuals will explore the strategies to manipulate data types using Jupyter Notebooks and RStudio as well as will acquire the knowledge of the techniques to manipulate R data structures including factors, lists, vectors, and data frames. Individuals will learn about concepts associated with web scraping, control flow, regular expressions, and string operations. 

The syllabus

Module 1 : R Basics

Videos
  • Welcome to Introduction to R Programming for Data Science
  • Introduction to R Language
  • Basic Data Types
  • Math, Variables, and Strings
  • R Environment
  • Introduction to RStudio
  • Writing and Running R in Jupyter Notebooks
Reading
  • Summary & Highlights
Practice Exercises
  • Practice Quiz
  • Graded Quiz

Module 2 : Common Data Structures

Videos
  • Vectors and Factors
  • Vector Operations
  • Lists
  • Arrays and Matrices
  • Data Frames
Reading
  • Summary & Highlights
Practice Exercises
  • Practice Quiz
  • Graded Quiz

Module 3 : R Programming Fundamentals

Videos
  • Conditions and Loops
  • Functions in R
  • String Operations in R
  • Regular Expressions
  • Date Format in R
  • Debugging
Reading
  • Summary & Highlights
Practice Exercises
  • Practice Quiz
  • Graded Quiz

Module 4 : Working with Data

Videos
  • Reading CSV, Excel, and Built-in Datasets
  • Reading Text Files in R
  • Writing and Saving to Files
  • HTTP Request and REST API 
  • Web Scraping in R
Reading
  • Summary & Highlights
Practice Exercises
  • Practice Quiz
  • Graded Quiz

Module 5 : Final Project

Readings
  • Download and Complete the Tasks in a Notebook
  • Congratulations & Next Steps
  • Credits and Acknowledgments

Instructors

Mr Yan Luo

Mr Yan Luo
Data Scientist
IBM

Ph.D

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