Unit 01: Introduction to Data Analytics
Learning Outcomes
- Understand the scope and significance of Data Analytics
- Differentiate between types of analytics
- Explore the data lifecycle and quality dimensions
- Apply statistical measures to real-world datasets
- Grasp sampling theory and confidence intervals
Structured Notes
- 1.1 Overview and Importance
- 1.2 Types of Analytics
- DAN Unit 1 1.1 Overview and Importance
- DAN Unit 1 1.2 Types of Analytics
- DAN Unit 1 1.3 Lifecycle Quality and Quantity
- DAN Unit 1 1.4 Data Types Central Tendency and Dispersion
- DAN Unit 1 1.5 Sampling Funnel CLT and Confidence Interval
Structured PPTs
- DAN PPT 1.1 Overview and Importance
- DAN PPT 1.2 Types of Analytics
- DAN PPT 1.3 Lifecycle Quality and Quantity
- DAN PPT 1.4 Data Types Central Tendency and Dispersion
- DAN PPT 1.5 Sampling Funnel CLT and Confidence Interval