Applied Regression with Python – 1 Day Workshop | Charlotte, NC
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 This 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 included
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 the course, you will be able to:
- 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
This course is ideal for:
- 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.
©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
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 This 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 included
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 the course, you will be able to:
- 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
This course is ideal for:
- 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.
©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
Our Royalty Referral Program
Know a team or professional who could benefit from our workshops? Refer them and earn attractive royalties for every successful registration.
For royalty-related queries, contact orders@mangates.com
Want to train your entire team?
We provide customized in-house sessions tailored to your industry datasets, modelling goals, and team skill levels.
The content can be adapted to finance, marketing, healthcare, operations, or research environments.
Ideal for teams aiming to improve analytics capability in one focused day.
📧 Contact us today to schedule a customized in-house session: corporate@mangates.com
Good to know
Highlights
- ages 18+
- In person
Refund Policy
Location
HQ Charlotte City Center
525 North Tryon Street Suite 1600 Charlotte North Carolina 28202 United States of America
Ph No +1 469 666 9332 Charlotte, NC 28202
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