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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

We are witnessing and adapting to the fourth industrial revolution, Industry 4.0, powered by Big Data and AI. At the global level, data integration has become highly essential for organisations and businesses to achieve global competitiveness. With the prevalence of Big Data all around, it becomes highly relevant to explore the underlying information and reap optimum rewards. In this scenario, data science and analytics enable decision-makers and business leaders to understand, manage and utilise data effectively.

R is a free, open-source programming language that is widely used by data scientists and analysts for developing software and applications in a data science setting. R offers tools and techniques for data analysis, statistical computations and data visualisation. R is available to use on various operating systems and is widely recognised for its extensibility, which allows developers to develop and distribute their own software as add-on packages. These features make R programming an ideal choice for data science experts and data analysts to utilise R in a variety of fields and areas.

The R Programming Environment online certificate course offered by Johns Hopkins University via the Coursera platform aims at providing useful knowledge of R Programming Language to data scientists, data analysts and data science experts to efficiently work in data science settings. This 100% online programme is of intermediate level and the first course in the Mastering Software Development in R specialisation.

The Highlights

Offered by Johns Hopkins University through Coursera
Learning through 100% online mode
Approximately 27 hours of videos and readings
Flexible learning and deadline scheduling
Interaction with top instructors
The option of 7-day Free Trial and Financial Aid
English, Portuguese, Russian, Spanish and French subtitles
Shareable certificate for online profile/CV

Programme Offerings

Reading
videos
Practice Exercises
quizzes

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

Application Fee

Type	Fees in INR
The R Programming Environment (audit only)	Free
The R Programming Environment - 1 month	Rs. 3,202/-
The R Programming Environment - 3 months	Rs. 6,404/-
The R Programming Environment - 6 months	Rs. 9,606/-

Eligibility Criteria

Certification Qualifying Details

To qualify for certification, participants of this certificate course are required to complete the course work including passing all the graded assignments. Such assignments can be in the form of quizzes or other programming assignments as applicable.

What you will learn

R Programming

Upon completion of this certification programme, participants will be able to:

Read data in R and understand the basics of R
Display skills in managing complex data, developing data visualisations and build R packages
Manipulate data using tidyverse and ggplot2
Get exposure to new practices in software development
Efficiently deal with regular and text expressions using R packages and tools
Diagnose problems and find solutions while dealing with large datasets
Use broad range of data sources to create tidy datasets

Who it is for

Data AnalystData Scientist

The R Programming Environment online certification course is designed for:

Data analysts aspiring to master basic software skills in their regular work
Data mining experts wanting to scale programming and developing skills using R
Data scientists seeking to advance in their career as data science experts
Professionals and individuals working in data science team or developers’ community

Admission Details

To enroll in The R Programming Environment online certificate programme, the participants are required to follow the below-mentioned steps.

Step 1: Visit the course page. https://www.coursera.org/learn/r-programming-environment

Step 2: Click on “Enroll for Free”.

Step 3: Use your Google or Email credentials to log in or sign up.

Step 4: Choose between “5-Course Specialisation” or “Coursera Plus” options.

Step 5: By clicking on “5-Course Specialisation”, candidates will get access to course content (videos) and graded assignments (quizzes) in the Mastering Software Development in R Specialisation, including the R Programming Environment course. Applicants will be eligible for a 7-day free trial for the course, after which, the monthly charges will be applicable.

Step 6: In the Coursera Plus option, applicants will get access to more than 3000 courses, including the R Programming Environment course. In this option too, applicants will be eligible for a 7-day free trial, after which, monthly charges of the Coursera Plus plan will be applicable. Other benefits of Coursera Plus will include:

Guided projects
Varied specialisations
Flexibility in learning
Less spending on taking multiple courses
Unlimited professional certificates

Step 7: By clicking on the ‘Audit the single course’ link, applicants will be able to browse through the whole course, barring the graded assignments.

Step 8: Select the option of your choice and start the 7-day free trial or audit the course.

The Syllabus

Video

Welcome to the R Programming Environment

Readings

Course Textbook: Mastering Software Development in R
Syllabus
Swirl Assignments
Datasets
Lesson Introduction
Evaluation
Objects
Numbers
Creating Vectors
Mixing Objects
Explicit Coercion
Matrices
Lists
Factors
Missing Values
Data Frames
Names
Attributes
Summary
The Importance of Tidy Data
The “Tidyverse”
Reading Tabular Data with the readr Package
Reading Web-Based Data
Flat files online
Requesting data through a web API
Scraping web data
Parsing JSON, XML, or HTML data

Practice Exercise

Swirl Lessons

Readings

Basic Data Manipulation
Piping
Summarizing data
Selecting and filtering data
Adding, changing, or renaming columns
Spreading and gathering data
Merging datasets
Working with Dates, Times, Time Zones
Converting to a date or date-time class
Pulling out date and time elements
Working with time zones

Practice Exercise

Swirl Lessons

Readings

Text Processing and Regular Expressions
Text Manipulation Functions in R
Regular Expressions
RegEx Functions in R
The stringr Package
Summary
The Role of Physical Memory
Back of the Envelope Calculations
Internal Memory Management in R

Practice Exercise

Swirl Lessons

Readings

Working with Large Datasets
In-memory strategies
Out-of-memory strategies
Diagnosing Problems
How to Google Your Way Out of a Jam
Asking for Help
Quiz Instructions

Practice Exercise

Reading and Summarizing Data

Evaluation process

Participants need to complete assignments such as quizzes and other programming assignments that are included in the course to get the course certificate of completion from Coursera. The course has flexible deadlines, which enables participants to save their progress. Participants will get a shareable Certificate from Coursera only after completing and passing all the required graded assignments.

Instructors

Johns Hopkins Frequently Asked Questions (FAQ's)

1: What is a 7-day free trial?

Coursera is offering a 7-day free trial to applicants enrolling for the programme. During the free-trial, participants will have access to all the course readings and practice exercises. Upon completion of the free trial, participants will have to continue the course by paying monthly charges.

2: How can I pass this Course?

You will be required to clear all the coursework falling under ‘graded assignments’ in order to earn the course certificate. Quizzes and other applicable assignments will form part of these graded assignments.

3: How does the Audit this single course option work?

Audit this single course option will enable the applicants to just access the contents of the course and not the graded assignments required to earn a course certificate.

4: Is there any financial aid available for this course?

Financial aid is available to those participants not able to afford the course fees. To avail of financial aid, the applicant will have to submit an online application. Coursera will review the application and notify whether the applicant is eligible for financial aid or not.

5: Is the certificate shareable?

The electronic certificate issued by Coursera can be accessed from your ‘accomplishments’ page and can be shared via URL or printed. No hard copy of the certificate will be issued by Coursera.