Business-analysis: Business Analysis. Building and Management of Forecast Models

Audience of the course:

Analysts, heads of analytical business units
Heads and managers of marketing, sales, finance, and distribution departments
Managers who would like to improve their decision-making skills based on information analysis

Key features of the course:

Opportunity to become familiar with the methodology of building predictive models
Opportunity to comprehensively study predictive analytics methods
Opportunity to receive a set of tools that can be immediately implemented when solving your own business problems
Opportunity to communicate with experts in the field of business analysis and Share experiences with representatives of other companies
Support for developing your own project
Focus on business tasks and interpretation of analysis results

Course content:

The process of building predictive models
Data audit
Predictive analytics methods: linear regression, logistic regression, decision trees, neural networks, discriminant analysis, association rules, sequential associations
Definitions and terminology, data requirements, description of methods, model analysis, forecasting using models /scoring/
Methods for comparing predictive models: performance evaluation, lift and profit curves, ROC analysis
Data transformation; Data cleaning and transformation
Predictive model management
Automation of modeling, scoring, and quality monitoring of predictive models.

Upon completion of the course, the participant will be able to:

Determine the data required to build predictive models.
Perform the necessary data transformations to build predictive models.
Build predictive models /build scoring models/ (elasticity models, response models, churn models, cross- and upselling models, credit risk models, etc.).
Evaluate the quality of predictive models.
Quantitatively assess the influence of factors on the forecast value.
Apply predictive models for forecasting /the process. scoring/

Training format:

Software usage:

For questions, please contact:

e-mail: info@analytical-boutique.com, tel.: +38 067 555 10 01

CONTACTS
+38 067 555 10 01