B.E. (Artificial Intelligence and Data Science) Data Analytics and Visualization Lab Syllabus - Mumbai University
This is the TY BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01815 and 1T01816. The first and second years of the degree are on NEP 2020.
Loading syllabus...
Syllabus for Data Analytics and Visualization Lab
Module 1
- Getting introduced to graph libraries such as matplotlib/Seaborn/Excel plots.
Module 2
- Data Exploration: Knowing the data.
Module 3
- Data preparation and Cleaning.
Module 4
- Visualization of data.
Module 5
- Correlation and Covariance.
Module 6
- Hypothesis Testing.
Module 7
- Simple Linear Regression.
Module 8
- Multiple Linear Regression.
Module 9
- Time Series Analysis.
Module 10
- Creating a Dashboard.
Useful Links
- 1 https://onlinecourses.nptel.ac.in/noc21_cs45/preview
- 2 https://www.coursera.org/specializations/data-science-python
- 3 https://public.tableau.com/en-us/s/resources
Useful Links
- 1 Effective Data Visualization The Right Chart for the Right Data, SECOND EDITION, Stephanie D. H. Evergreen - Evergreen Data & Evaluation, LLC
- 2 Yanchang Zhao, "R and Data Mining: Examples and Case Studies", Elsevier, 1st Edition, 2012.
- 3 Better Data Visualizations A Guide for Scholars, Researchers, and Wonks, Jonathan Schwabish, Columbia University Press
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.42 (R), under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. Wording, module numbering and hours are as printed in that syllabus.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.