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Home / Syllabus / B.Sc. (Data Science) / Fourth Year BSc Data Science Honours / Semester 7 / Data Analysis and Visualization

B.Sc. (Data Science) Data Analysis and Visualization Syllabus - Mumbai University

This is the Fourth Year BSc Data Science Honours syllabus under NEP 2020, phased in one year at a time, from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Data Analysis and Visualization Syllabus.pdf
Major · Semester 7 · Fourth Year BSc Data Science Honours · 4 credits · 100 marks

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Syllabus for Data Analysis and Visualization

Major · Semester 7 · Fourth Year BSc Data Science Honours · 4 credits · 100 marks

Module I: Introduction to Data Analysis

  • Data Analysis - Exploratory Data Analysis and Data Science Process - Responsibilities of a Data Analyst - Data Analytics vs. Data Analysis - Types of Data - Understanding Different Types of File Formats - Sources of Data - Languages for Data Professionals - Overview of Data Repositories - Data Marts, Data Lakes, ETL, and Data Pipelines - Foundations of Big Data - Identifying Data for Analysis

Module II: Data Wrangling

  • Data Sources - How to gather and Import Data - Data Loading, Storage and File Formats - Reading and Writing Data in Text Format, Web Scraping, Binary Data Formats, interacting with Web APIs, Interacting with Databases – Data Wrangling - Hierarchical Indexing, Combining and Merging Data Sets Reshaping and Pivoting - Tools for Data Wrangling - Data Cleaning and Preparation - Handling Missing Data, Data Transformation, String Manipulation

Module III: Data Visualization

  • Intro to data visualization - Introduction to Visualization and Dashboarding Software - Visualization Tools - Getting started with Tableau Desktop – Connecting to the dataset - Creating charts – Creating common visualizations (bar charts, line charts etc.) - Filtering and sorting data - Adding Titles, Labels, and descriptions - Publish your work to Tableau Cloud - Interactivity with text and visual tooltips - Interactivity with actions (filter, highlight, URL) – Assembling dashboards from multiple charts

Module IV: Story Telling

  • Introduction to Power BI - Understanding Desktop - Understanding Power BI Report Designer - Report Canvas, Report Pages: Creation, Renames - Report Visuals, Fields and UI Options - Experimenting Visual Interactions, Advantages - Reports with Multiple Pages and Advantages - Pages with Multiple Visualizations - PUBLISH Options and Report Verification in Cloud - Adding Report Titles. Report Format Options - Introduction to data storytelling - Creating a data story 10 Text Books 1. Python for Data Analysis: Data Wrangling with Pandas, NumPy and IPython by McKinney, W., 2nd edition. O’Reilly Media, 2017 2. Doing Data Science: Straight Talk from the Frontline by O’Neil, C., & Schutt, R, O’Reilly Media, 2013 3. The Big Book of Dashboards by Steve Wexler, Jeffrey Shaffer, Andy Cotgreave, John Wiley & Sons, 2017 11 Reference Books 1. Practical Tableau by Ryan Sleeper, O’Reilly Media, 2018 2. Power BI. Book-1, Business Intelligence Clinic: Create and Learn by Roger F Silva, 2018 3. Introducing Microsoft Power BI by Alberto Ferrari and Marco Russo, Microsoft Press, Washington, 2016 12 Internal Continuous Assessment: 50% Semester End Examination: 50%

Text Books

  • 1 Python for Data Analysis: Data Wrangling with Pandas, NumPy and IPython by McKinney, W., 2nd edition. O’Reilly Media, 2017
  • 2 Doing Data Science: Straight Talk from the Frontline by O’Neil, C., & Schutt, R, O’Reilly Media, 2013
  • 3 The Big Book of Dashboards by Steve Wexler, Jeffrey Shaffer, Andy Cotgreave, John Wiley & Sons, 2017
  • 1 Practical Tableau by Ryan Sleeper, O’Reilly Media, 2018
  • 2 Power BI. Book-1, Business Intelligence Clinic: Create and Learn by Roger F Silva, 2018
  • 3 Introducing Microsoft Power BI by Alberto Ferrari and Marco Russo, Microsoft Press, Washington, 2016

Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020. Wording is as printed in that syllabus. Module numbering is as printed there too.

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.

PDF 2024 25 DS SEM I & II NEP NEP 2020 syllabus, in force from 2024-25 Read full PDF Read
PDF 2023 24 BSc Data Science Sem V & VI Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
PDF 2021 22 BSc Data Science Sem III & IV Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
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