MP4 | Video: h264, 1280×720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 22 lectures (2 hour, 48 mins) | Size: 1.19 GB

R For Bners: Learn Basics of R Programming and gain one of employer’s most requested skills in 2020!

What you’ll learn

Basics of R Programming

Learn to work with R and R Studio IDE

Build algorithms using logical and conditional operators as well as loop statements

Analyze large data-sets, and reproduce results in R/Excel

Thoroughly understand data structures in R and apply them as appropriate

Good working knowledge of stringr and dplyr packages

Understand basics of Data Science


High School Level Math


Data Science is all about using data to solve some of society’s most pressing problems. Harvard Business Review touted Data Science as the sexiest job of the 21st century, and no wonder Data Science is considered the future! with zettabytes and yottabytes of structured and unstructured data floating everyday, it calls for very unique skillsets to uncover hidden patterns and generate valuable insights from data.

This course covers the basics of R Programming and several practical exercises relating to data science such as data analysis, building algorthims, generating insights and data visualization.

R is often associated with having a very steep learning curve and many students give up feeling overwhelmed by the language. The ‘R for Bners’ course follows a step by step approach, combining conceptual learning with hands-on assignments, quizzes and real world projects.

At the end of this R course, you would be able to understand and apply basics of programming, analyze large data sets, export your findings onto excel, visualize data and even build your own algorithms!

Who is this course aimed at

– Bners who have no coding background in R or otherwise

– Aspiring as well as professional data analysts, statisticians and programmers

Who this course is for:

This course is for everyone, right from college students using R for a project to statisticians, programmers from other platforms, or pure bners without any prior programming experience who want to become data analysts or data scientists





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