6th Sem, IEM

18IML66: Data Analytics Lab IEM Syllabus for BE 6th Sem 2018 Scheme VTU

Data Analytics Lab detailed Syllabus for Industrial Engineering & Management (IEM), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.

For all other VTU IEM 6th Sem Syllabus for BE 2018 Scheme, do visit VTU IEM 6th Sem Syllabus for BE 2018 Scheme Subjects. The detailed Syllabus for data analytics lab is as follows.

Course Learning Objectives:

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 pdfs platform to make students’s lives easier.
Get it on Google Play.

Experiments:

  1. Exercises on reading data from files and working with datasets
  2. Exercises on basic built-in functions, plots, storing and retrieving data (At least one problem on each of the functions).
  3. Exercises on diagrammatic and graphical representation of data.
  4. Exercises on measures of central tendency and dispersion.
  5. Exercises on skewness and kurtosis
  6. Exercises on continuous probability distribution.
  7. Exercises on discrete probability distribution.
  8. Exercises on hypothesis testing one single population mean.
  9. Exercises on normality test.
  10. Exercises on goodness of fit (Normal, Binominal, Poisson distribution, uniform distribution).
  11. Exercises on correlations and regression analysis.
  12. Writing simple programs in R

Suggested software packages: R studio

Course Outcomes:

  1. CO1: Examine and present the real-time data in appropriate form.
  2. CO2: Choose suitable probability distribution for a given situation and test its goodness of fit.
  3. CO3: Formulate the hypothesis by arriving at estimates and inferences to make decisions in uncertainty.
  4. CO4: Perform correlation and regression analysis and draw inferences

Evaluation

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 pdfs platform to make students’s lives easier.
Get it on Google Play.

Text Books:

  1. Douglas C. Montgomery, George C. Runger, Norma F. Hubele, Engineering Statistics, John Wiley and Sons, 5th Edn, ISBN-13: 978-0470631478 ISBN-10: 0470631473 year: 2010.
  2. Statistics using R, Sudha G. Purohit, Sharad D. Gore and Shailaja R. Deshmukh, Narosa Publications, second edition -2015.
  3. R for Data Science, Dan Toomey, PACKT Publishing, 2014.
  4. Practical Data Science wit R, Nina Zumel, John Mount, Manning Publications, 2014.
  5. Building a recommendation System with R, Suresh R Gorakala, Michelle Usuelli, PACKT Publishing, 2015

For detail Syllabus of all other subjects of BE 6th Sem Industrial Engineering & Management, visit (IEM) 6th Sem Syllabus Subjects.

For all (CBSE & Non-CBSC) BE results, visit VTU BE all semester results direct links.

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