Admission Apply Now 2025 Click here to know more

Admission Apply Now 2025 Click here to know more

ADMISSION ENQUIRY - 2025
Data Analysis and Visualization
GANPAT UNIVERSITY |
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FACULTY OF ENGINEERING & TECHNOLOGY |
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Programme |
Bachelor of Technology |
Branch/Spec. |
Computer Science & Engineering |
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Semester |
VII |
Version |
1.0.0.0 |
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Effective from Academic Year |
2025–26 |
Effective for the batch Admitted in |
June 2022 |
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Subject code |
2CSE714 |
Subject Name |
DATA ANALYSIS AND VISUALIZATION |
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Teaching scheme |
Examination scheme (Marks) |
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(Per week) |
Lecture (DT) |
Practical (Lab.) |
Total |
CE |
SEE |
Total |
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L |
TU |
P |
TW |
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Credit |
2 |
0 |
1 |
0 |
3 |
Theory |
40 |
60 |
100 |
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Hours |
2 |
0 |
2 |
0 |
4 |
Practical |
30 |
20 |
50 |
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Pre-requisites: |
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Database Management System, Data Mining and Warehouse |
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Learning Outcome: |
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After successful completion of the course students will be able to:
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Theory syllabus |
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Unit |
Content |
Hrs |
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1 |
Introduction to Data Analysis and Visualization Overview, Types of data analysis, introduction to Data Visualization and its importance in decision making and business intelligence |
2 |
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2 |
NoSQL Databases Introduction to NoSQL database, Types of NoSQL databases, MongoDB: Architecture, Operators, CRUD operations, Aggregation Framework, Indexing, Administration |
16 |
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3 |
Data Visualization Tableau: Data types, file types, show me menu, Type of data sources supported by, connecting different data sources, edit metadata, filtering fields, types of charts, group, set, hierarchy, parameters, pivot, data joining, data blending, calculated fields, preparing dashboards and storyboards. |
12 |
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Practical content |
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Practicals will be based on:
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Text Books |
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1 |
MongoDB: The Definitive Guide by Shannon Bradshaw , Eoin Brazil |
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Reference Books |
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1 |
Visual Analytics Using Tableau: Structured approach for turning raw data to powerful insights by NehaSingh Rajput and Sulabh Bhatt |
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2 |
Tableau For Dummies by Molly Monsey and Paul Sochan |
Course Outcomes: |
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Cos |
Description |
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CO1 |
Explain the importance of data analysis in decision-making and business processes. |
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CO2 |
Design and implement interactive visualizations for dynamic data exploration. |
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CO3 |
Solve business intelligence related queries using Data Visualization tool like tableau, PowerBI |
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CO4 |
Apply Advance concepts related to big data in projects/real life scenarios |
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Mapping of CO and PO:
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