Data Analytics and Visualization 

SEMESTER – VI

Course Code:

21BTCS027

Course Credits:

03

Teaching Hours / Week (L: T: P):

3: 0: 0

CA Marks:

40

Total Number of Teaching Hours:

45

END-SEM Marks:

60

 Course Prerequisites: Having a fundamental knowledge of computer science, basic computer programming and database management systems can be helpful in data analytics and visualization

Course Description:

• The course covers the data analytics process.

• Students will learn and apply  various analytics and virtualization tools such as Microsoft Excel, Power BI and Tableau.

Course Learning Objectives: This course will enable the students :

1. To know the data analytics process and tools.

2. To study the insights of ETL process for data analysis and visualization.

3. To learn EDA techniques and libraries for analysis and visualization.

4. To learn modern power BI tool for data analysis and visualization.

5. To learn Tableau tool for data analysis and visualization.

Course Outcome: On completion of the course, the learner will be able to–

1. Understand  the data analytics process and tools

2. Apply the visualization tool for better understanding. 

3. Use the programming  libraries for analysis and visualization.

4. Apply the Power BI for  data analysis and visualization.

5. Apply the Tableau for  data analysis and visualization.