Data Visualization and Modeling
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Data Visualization and Modeling Syllabus — Unit-wise Content
The official GTU curriculum for Data Visualization and Modeling (subject code 3174301) as prescribed for AI & DS · Semester 7 divides the course into 5 units, covering 31 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 (3174301)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
Unit 4 Power BI
- Power BI Desktop: Powe BI Architecture
- Power BI Dashboard
- Creating Power BI Visualization
- DAX functions
- Power BI Service
- Power BI Report Server
Unit 5 Data Modeling
- Data model
- Data modeling
- Data modeling process
- Levels of data abstraction
- various data models
- advantages and disadvantages of data models
- Apply data modelling and navigation in Power BI Total Hours: 42 100% Textbook: 1
- Core Python Programming - Second Edition, R
- Nageswara Rao, Dreamtech Press. “Course Name” Semester: 7 Branch: Artificial Intelligence And Data Science Subject Name: Data Visualization and Modeling Subject Code: 3174301 w.e.f. 2022-23 http://syllabus.gtu.ac.in/ Page no. 2 of 2 2
- Communicating Data with Tableau by Ben Jones
- O'Reilly Media, Inc
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