Download the detailed course syllabus here.
Topics Covered in the Course
As you explore the course, you will meet and learn with other people who are also interested in big data and analytics discussing and exploring topics such as:
1. Pick your scenario
- Before we start - Big Data and Analytics big picture
- Big Data and Analytics scenarios
- Scenario 1: Customer acquisition and retention
- Scenario 2: Targeted advertising
- Scenario 3: Risk management
- Scenario 4: Innovations and product development
2. Frame the problem
- How to frame a problem
- What problem does Big Data and Analytics solve?
- Your turn now!
3. Do research with others
- Research with others
- Get inspired: How other businesses tackled the problem
- Thinking challenge: The human insights missing from Big Data
4. Propose a data solution
- Big Data Solution fundamentals
- Your turn now!
- Time to look back and reflect
5. The fundamentals of Big Data and Analytics
- Big Data and Internet of Things
- Big Data and Analytics fundamentals
6. Business applications of Big Data and Analytics
- How Big Data transformed the world we live in
- Big Data and Analytics: Industry examples
- Big Data cycle
- Business Drivers for analytics
- Opportunities for a new approach to analytics
7. Big Data strategy and solutions
- Big Data business strategy
- Big Data value creation process
- Big Data envisioning process
- Big Data solution process flow
8. Dig Deeper: More technical aspects of Big Data and Analytics
- Four V's of Big Data
- Big Data characteristics and measures
- Data structures
- Data repositories
