data science with MS power bi

Description:  This Series is designed to familiarize the attendees with the fundamental concepts needed for basic analytics and data understanding, as well as introduce the attendees to more advanced concepts used for model building. It instructs participants on how to navigate a dataset with MS Power BI and generate useful analytics that would aid in generating insights from the dataset.

Objectives: Using appropriate data, introduce delegates to: 

• essential concepts in analytics which are the foundation of most statistical tests
• descriptive analytics and how to describe data
• quantifying relations between continuous and categorical variables
• building models to represent these relationships, with Python and R 

Outcome:  Delegates will leave the sessions with an excellent theoretical and practical understanding of Statistical Analysis and applying these in an operational and business context.

Session 1: Analytical questions & business alignment & Essential concepts in analytics 

(3 Hours)

Session 2: Descriptive analytics for continuous/categorical variables & Relationships between variables 

(3 Hours)

Session 3: Clustering techniques & Multiple linear regression 

(3 Hours)

Session 4: Classification and regression trees & Model building process 

(3 Hours)

Four Sessions, 12 hours total: 

10:00 – 11:30 Lesson(s)  

11:30 – 12:00 Break  

12:00 - 13:30 Lesson(s)