ASAP COURSES
Data Mining
Course Contents
1.1 Understand the importance of data mining and the knowledge discovery that can be made from information repositories in a business. (1 hr)
1.2 Understand techniques of preparing real-world data for performing data mining.
Data pre-processing · ETL, ELT · Data janitor · Datamart · Data warehousing (2 hrs)
1.3 Understand data mining techniques for discovering interesting patterns from data. (1 hr)
1.3.1 Introduction to Supervised and Unsupervised Learning (1 hr)
1.3.1.1 Bias–Variance trade-off (1 hr)
1.3.1.2 How to handle unstructured data (2 hrs)
1.3.1.3 How to handle unbalanced data (2 hrs)
1.3.1.4 Model validation (2 hrs)
Practicals: 9 hrs
1.3.1 Introduction to Supervised and Unsupervised Learning (1 hr)
1.3.1.1 Bias–Variance trade-off (1 hr)
1.3.1.2 How to handle unstructured data (2 hrs)
1.3.1.3 How to handle unbalanced data (2 hrs)
1.3.1.4 Model validation (2 hrs)
Practicals: 9 hrs
1.3.2 Exposure to GUI-based ML tools and hands-on with some sample data (2 hrs)
Practicals: 6 hrs
Practicals: 6 hrs