Checklist

Certification

You will get a certificate on completing this course.

University

The course is not from a very prestigious university.

Price

This course is costly - Rs. 7018/-.

Difficulty

70% of the students have found this course easy.

Content

86% of the students have liked the content of this course.

Assignments

82% of the students have liked the assignments of this course.

Teaching

90% of the students have liked how the instructor has taught this course.

Satisfaction

94% of the students are overall satisfied with this course.

Edvicer's Rewards

You can get a cashback of ₹ 250 on buying this course.

Introduction to R for Data Science

Introduction to R for Data Science

7018
August 10
10 hours
English
Microsoft
Course by
edXCourses from edX
Certificate awarded
Mixed
Login to earn ₹ 250

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Not sure which job profiles this course will open for you? Check out our AI based tool to get a complete personalized career map.

Checklist

Certification

You will get a certificate on completing this course.

University

The course is not from a very prestigious university.

Price

This course is costly - Rs. 7018/-.

Difficulty

70% of the students have found this course easy.

Content

86% of the students have liked the content of this course.

Assignments

82% of the students have liked the assignments of this course.

Teaching

90% of the students have liked how the instructor has taught this course.

Satisfaction

94% of the students are overall satisfied with this course.

Edvicer's Rewards

You can get a cashback of ₹ 250 on buying this course.

Why should you choose this course?

Description

This course is part of the Microsoft Professional Program Certificate in Data Science. R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs. This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required. What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform. Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution. Enjoy!edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

Syllabus

NA

What others say about this course

Reviews from Class Central

"> I think that this is the best course for those people who never got in touch with programming and want to learn something new!!!! the platform is easy to use and the lessons are really clear and   Read More ...

"> Excellent program designed to deliver R for the novice. The course material was very good and the instructor was clear and knowledgeable about the subject. The final exam could have been designe  Read More ...

"> Cours très intéressant, très bien expliqué. Je n'avais (presque) jamais travaillé en R et je me sens déjà beaucoup plus à l'aise. Je pense avoir acquis les bases. Je vais chercher pour le niveau   Read More ...

"> I would like to said the selling point of "Self-Paced Format" is totally bullshit and misleading!After I enrolled and paid $99 for Cert on 11 June 2018 and I've been told that I must co  Read More ...

"> Great course to learn about R's data structures. Also very nice how its setup and introduces the student to the popular packages and functions for data manipulation and plotting.</

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