Introduction to Data Analytics
- Page ID
- 48001
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This book aims to give foundational understanding of Data Analytics to the reader who may have previous context about on-premises and cloud platforms.
Front Matter
1: Foundations of Data Analytics
2: Data Types, Data Sources, and Data Quality
3: Data Collection and Ingestion
4: Data Cleaning and Preparation
5: Exploratory Data Analysis (EDA)
6: Statistical Foundations for Analytics
7: Data Visualization Principles
8: Visualization Tools and Libraries
9: Advanced Visualization Techniques, Dashboarding and Storytelling
10: Predictive Analytics and Machine Learning Basics
11: Business Intelligence and Embedded Analytics
12: Programming-Based Analytics Tools
13: Cloud Analytics Platforms and Real-World Case Studies
14: Machine Learning for Analytics and Future Trends
- 15: New Chapter
- 16: New Chapter (1)
Back Matter


