Data Management and Business Intelligence

Foundations of Data and Models Regression Analytics

Organizations today rely heavily on data to guide decisions, improve performance, and predict future outcomes. Understanding how to structure data and build reliable statistical models is a critical skill across all industries. This course provides a strong foundation in data handling and regression modeling, enabling participants to interpret relationships between variables, build predictive models, and make evidence-based decisions using structured analytical methods.

DMBI-012Barcelona - SpainData Management and Business Intelligence
Course schedules
Upcoming dates Classroom
Start date End date Location Fee Registration
Barcelona - Spain
€1,925 + VAT
→
Barcelona - Spain
€1,925 + VAT
→
Kuala Lumpur - Malaysia
€1,400 + VAT
→
Kuala Lumpur - Malaysia
€1,400 + VAT
→
Barcelona - Spain
€1,925 + VAT
→
Barcelona - Spain
€1,925 + VAT
→
Paris - France
€2,250 + VAT
→
Paris - France
€2,250 + VAT
→
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Why Attend

Organizations today rely heavily on data to guide decisions, improve performance, and predict future outcomes. Understanding how to structure data and build reliable statistical models is a critical skill across all industries.

This course provides a strong foundation in data handling and regression modeling, enabling participants to interpret relationships between variables, build predictive models, and make evidence-based decisions using structured analytical methods.

Course Objectives
  • Understand the fundamentals of data types and structures
  • Apply basic statistical techniques for data analysis
  • Build and interpret simple and multiple regression models
  • Identify relationships between variables in datasets
  • Evaluate model performance and accuracy
  • Use regression outputs to support decision-making
Designed for

This program is intended for professionals involved in Data Management and Business Intelligence.

  • Data Analysts and Junior Data Scientists
  • Business Analysts
  • Reporting and MIS Professionals
  • Engineers and Technical Staff working with data
  • Finance and Operations Professionals
  • Anyone responsible for data interpretation and reporting
Course Methodology

This course is designed with a practical, hands-on approach: - Step-by-step explanation of key statistical concepts - Practical exercises using structured datasets - Guided model building and interpretation sessions - Interactive discussions to reinforce learning - Focus on real-world analytical thinking and application

Course content
Day1

Introduction to Data and Statistical Foundations

  • Understanding data types (categorical, numerical, structured)
  • Data collection and preparation basics
  • Descriptive statistics (mean, median, variance, etc.)
  • Data visualization fundamentals
  • Correlation and relationship between variables
  • Introduction to analytical thinking
Day2

Introduction to Regression Analysis

  • Concept of regression modeling
  • Simple linear regression
  • Relationship between dependent and independent variables
  • Interpreting slope and intercept
  • Error terms and model fit
  • Practical exercises using sample data
Day3

Multiple Regression Analysis

  • Expanding to multiple variables
  • Building multiple regression models
  • Understanding coefficients and variable impact
  • Multicollinearity concept (intro level)
  • Model interpretation techniques
  • Hands-on regression modeling practice
Day4

Model Evaluation and Performance

  • Measuring model accuracy (R² and error metrics)
  • Residual analysis and interpretation
  • Detecting model weaknesses
  • Overfitting and underfitting concepts
  • Improving model reliability
  • Basic validation techniques
Day5

Practical Applications of Regression Modeling

  • Applying regression to real-world datasets
  • Forecasting and prediction basics
  • Using regression outputs for decision-making
  • Common pitfalls in data analysis
  • Best practices in reporting results
  • Final practical exercise and review
The certificate

SPARK Training Certificate of Completion is awarded to participants who attend and complete the full training course.

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