Big Data Analytics Basics

Description

Big data is more than a large file, and this seven-lesson PDF mini-course explains what sets it apart. It introduces the five V’s framework, covering volume, velocity, variety, veracity and value, and gives an overview of common big data tools and technologies.

You then read about practical data collection and preparation, basic descriptive and diagnostic analysis, and real-world business applications. The final lesson outlines how to approach your first big data project. The focus is on understanding concepts and business uses, so you can follow conversations about big data and judge where it might help your organization. A few exercises help you check your understanding.

Who it is for: professionals who want to understand big data well enough to take part in data-driven decisions.

What’s included
7 PDF lessons · 52 pages · about 14,500 words
One ZIP download that is yours to keep — read on any device, no subscription or app needed.

Course programme

1. Understanding Big Data: What Makes Data ‘Big’
2. The Five V’s Framework: Volume, Velocity, Variety, Veracity, Value
3. Essential Big Data Tools and Technologies Overview
4. Practical Data Collection and Preparation Techniques
5. Basic Analytics Methods: Descriptive and Diagnostic Analysis
6. Real-World Business Applications
7. Getting Started with Your First Big Data Project