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WQD7003 Data Analytics

Course Learning Outcomes
At the end of the course, students are able to:
1. Explain the concepts of data analytics
2. Use suitable technique for data pre processing
3. Apply data analytics and machine learning techniques to solve real world problems.

Synopsis of Course Content
This course aims to develop students' ability to describe, explore and analyze data using suitable data
analytics techniques

Evaluation and Weightage
Continuous Assessment : 60%
Final Examination : 40%

WQD7004 Programming for Data Science

Learning Outcomes
At the end of this course, the students are able to:
1. Define the steps of problem solving in programming for disparate datasets.
2. Demonstrate a familiarity with the algorithms and data structures related to data science.
3. Develop programs to solve the problems in data science.
Synopsis of Course Content
This course covers the problem solving and programming that relevant to the data science. The
course provide students with the necessary programming skills to statistically process and explore
disparate datasets.These include structures for data organization, sorting and searching, basic graph
models and algorithms, streaming algorithms, linear and convex programming.

Evaluation and Weightage
Continuous Assessment : 50%

Final Examination : 50%

WQD7005 Data Mining

Learning Outcomes
At the end of the course, the students are able to:
1. Define the own term Data Mining and Data Warehouse, as well as the differences between OLTP
and OLAP.
2. Draw a schema diagram for the data warehouse using Snowflake schema.
3. Create a decision tree (DT) model using the C4.5 algorithm.
4. Find frequent itemsets using FP-growth.
5. Evaluate the differences between Time-series clustering and density-based clustering in big data
environment.
Synopsis of Course Content
This course covers topic such as Data Warehouse, Pre-mining, Classification, Association Rules and
Clustering Algorithms. It explains how to find patterns in a database and emphasizes on hands-on
experience of data mining tools.