4th Sem, CE

BTCOL408: Introduction To Data Science With R Syllabus for CE 4th Sem 2018-19 DBATU

Introduction To Data Science With R detailed syllabus scheme for B.Tech Computer Engineering (CE), 2018-19 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.

For all other DBATU Syllabus for Computer Engineering 4th Sem 2018-19, do visit CE 4th Sem 2018-19 Onwards Scheme. The detailed syllabus scheme for introduction to data science with r is as follows.

Introduction To Data Science With R Syllabus for Computer Engineering (CE) 2nd Year 4th Sem 2018-19 DBATU

Introduction to Data Science with R

Unit 1: Introduction to Basics

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Unit 2 Vectors and Matrices

Vectors. Create, name and select elements from vectors. Learn how to work with matrices in R. Do basic computations with them and demonstrate your knowledge by analyzing the Star Wars box office figures.

Unit 3: Factors & Data Frames

Storeing Categorical data in factors. Learn how to create, subset and compare categorical data. When working R, youll probably deal with Data Frames all the time. Therefore, you need to know how to create one, select the most interesting parts of it, and order them.

Unit 4: Lists

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Unit 5: Basic Graphics

Discover Rs packages to do graphics and create your own data visualizations. Programming assignments are mandatory.

Reference Books:

  1. Joel Grus, Data Science from Scratch: First Principles with Python, O’Reilly Media, 1st Edition, 2015.
  2. Hadley Wickham, Garrett Grolemund, R for Data Science Import, Tidy, Transform, Visualize, and Model Data, O’Reilly Media, 1st Edition, 2017.
  3. Nina Zumel, John Mount,Practical Data Science with R, Manning, 2014.

Text Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

For detail syllabus of all other subjects of Computer Engineering (CE) 4th Sem 2018-19 regulation, visit CE 4th Sem Subjects syllabus for 2018-19 regulation.

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