Data Visualization
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Data Visualization Syllabus — Unit-wise Content
The official GTU curriculum for Data Visualization (subject code 3165202) as prescribed for AI & ML · Semester 6 divides the course into 5 units, covering 33 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3165202)Unit 1 Introduction to Data Visualization Tools
- Python Libraries for Visualization
- Power BI, Tableau. 07 20%
Unit 2 Data Visualization Tools in Python
- Introduction to Matplotlib
- Basic Plotting with Matplotlib
- Line Plots
- Area Plots
- Bar Charts
- Pie Charts
- Box Plots Scatter Plots
- Bubble Plots
Unit 3 Advanced Visualization Tools
- Waffle Charts
- Word Clouds Introduction to Seaborn: Seaborn functionalities and usage
- Spatial Visualizations and Analysis in Python with Folium
- Case Study
- Subject Code : 3165202 2021-22 Open Elective Subject Name : Data Visualization
Unit 4 Tableau initialization
- Tableau installation
- Data source settings in tableau
- Data Interpreter
- Interface of Tableau sheet
- Various menu options
Unit 5 Tableau initialization
- Tableau installation
- Data source settings in tableau
- Data Interpreter
- Interface of Tableau sheet
- Various menu options
- Visualization using Tableau
- Various graphs in tableau
- Real world data visualization tasks
- Total Hours : 40 100% Textbook : 1
- Core Python Programming - Second Edition, R
- Nageswara Rao, Dreamtech Press. 2
- Communicating Data with Tableau by Ben Jones
- O'Reilly Media, Inc
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