Data Analytics (3 days)

This course builds upon the Big Data Strategy workshop and the high-impact use cases generated for an opportunity to experience end-to-end hands-on data analytics. This course is highly interactive in nature, with most of the time being allocated to hands-on, discussions and group exercises.

Course Outline

Based on the high-impact data-driven use cases generated in the Data Analytics Strategy
workshop, the trainer, together with the course participants, will conduct hands-on, end-to-
end data analytics proofs-of-concept (POC). These include:

Data ingestion and ETL

Accessing and importing data, as well as extracting, transforming, and loading these data, for immediate analytics or database storage

Data analytics

Examining the data stored in the database to uncover information including patterns, correlations and trends that can help the users make informed business decisions

Reporting, dashboarding and visualization

Designing business intelligence dashboards / data visualization that pull real-time data from multiple sources and display the current status of metrics and key performance indicators (KPIs) for an enterprise.

Key takeaways for the course participants

1. Solid understanding of advanced data ingestion and ETL techniques

2. Hands-on experience with advanced analytics and visualization tools and packages

3. Clear demonstration of the benefits of advanced data analytics in the real-world