Business Analytics and Insights Programme

Business Analytics and Insights Programme

Part 1: The strategic Big Data trend

• Why Big Data is so important for today’s businesses?
• How to develop a competitive market advantage using Big Data?
• What kind of database strategies is possible to implement in Big Data?
• Skills needed to perform an effective business analytics model

Part 2: Basic business analytics concepts

• Defining Business Analytics
• Business Analytics Strategies, project and methodologies
• Overview of Business Analytics tools
• Inferential statistics and other statistical basic concepts

Part 3: Business analytics software and method

• Overview of Business Analytics software and methodology
• Reading data files, data understanding with missing data, outliers and anomalous data
• Introduction to data manipulations with relationship in data, combining data files and aggregating data
• Selecting, sampling and partitioning

Part 4: Segmentation and rules induction modeling

• Segmentation modeling to better understand market structure
• Association rules for an effective cross selling campaign

Part 5: Predictive modeling

• Decision trees
• Neural networks
• Linear regression
• Logistic regression
• Discriminant analysis
• Time series analysis
• Text mining unstructured data modeling

Exercises: Enhance analytical skills

• Participants will enhance their analytical skills by understanding inferential statistical concepts and modeling technics
  such as:
  • Data manipulation and transformation;
  • Segmentation, rule induction, predictive modeling and text mining technics
  • Customer’s scoring and profiling