Accelerated Python Regression Workshop: Learn Modelling, Diagnostics, and Prediction in One Intensive Day.
Group Discounts:
Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants
About the course:
Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session
Course Overview:
This 1 Day intensive program introduces you to the essential concepts of regression analysis using Python. You will explore simple and multiple linear regression, diagnostics, transformations, qualitative predictors, collinearity, and real-world modelling challenges.
The course focuses on practical understanding, helping you build, interpret, evaluate, and troubleshoot regression models efficiently.
Using a blend of theory, examples, and structured activities, you will learn how to apply regression to real datasets, assess model validity, and improve model performance in various scenarios.
Learning Objectives:
By the end of this course, you will:
- Understand and apply simple and multiple linear regression.
- Interpret regression output and evaluate model performance.
- Diagnose model problems using residual analysis and assumptions.
- Use indicator variables and interactions effectively.
- Apply transformations to improve model fit and reliability.
- Identify and manage collinearity issues.
- Build regression models using Python with confidence.
Target Audience:
- Data science beginners with basic Python knowledge
- Students and professionals exploring statistical modelling
- Business analysts and researchers working with data
- Anyone looking to strengthen analytical and regression skills
Why Choose This Course?
This program simplifies complex regression topics into a clear, practical 1-day format.
The trainer brings real-world data science experience, ensuring examples and explanations remain practical, relevant, and easy to understand.
You gain structured exposure to essential and intermediate-level regression concepts without being overwhelmed by advanced mathematics.
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Good to know
Highlights
- ages 18+
- In person
- Paid parking
Refund Policy
Location
regus CA, Los Angeles – Spaces Fine Arts
811 West 7th Street
Ph No +1 469 666 9332 Los Angeles, CA 90017
How do you want to get there?
Agenda
Module 1: Introduction to Regression Analysis
• Understand what regression analysis is and why it is used. • Explore publicly available datasets for modelling. • Learn key steps in performing regression analysis. • Icebreaker
Module 2: Simple Linear Regression Essentials
• Learn covariance, correlation, and basic model structure. • Explore parameter estimation and hypothesis testing. • Understand predictions and evaluating model fit. • Case Study
Module 3: Multiple Linear Regression Concepts
• Learn interpretation of regression coefficients. • Understand centring, scaling, and estimator properties. • Explore inference and prediction in multiple regression. • Simulation