Regus-Darwin, 66 Smith Street
Starting at AUD 534
Mon, 30 Mar, 2026 at 09:00 am - Thu, 20 Aug, 2026 at 05:00 pm (GMT+09:30)
Regus-Darwin, 66 Smith Street
Level 4 and 5, 66 Smith Street, Darwin, Australia
Bring your team and save:
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
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
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.
By the end of this course, you will be able to:
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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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, face-to-face session: ZXZlbnRicml0ZSB8IG1nYXVzc2llICEgY29t
Info: • Understand what regression analysis is and why it is used.
• Explore publicly available datasets for modelling.
• Learn key steps in performing regression analysis.
• Icebreaker
Info: • Learn covariance, correlation, and basic model structure.
• Explore parameter estimation and hypothesis testing.
• Understand predictions and evaluating model fit.
• Case Study
Info: • Learn interpretation of regression coefficients.
• Understand centring, scaling, and estimator properties.
• Explore inference and prediction in multiple regression.
• Simulation
Info: • Understand standard regression assumptions.
• Learn residual types, normality, linearity, and influence.
• Identify outliers and assess model violations.
• Role Play
Info: • Learn how to include categorical predictors in regression.
• Understand interaction variables and seasonal indicators.
• Explore multi-equation regression systems.
• Case Study
Info: • Apply transformations for linearity and variance stabilization.
• Detect heteroscedasticity and apply weighted least squares.
• Use log and power transformations to enhance model accuracy.
• Activity
Info: • Understand autocorrelation and its impact on regression models.
• Learn the Durbin–Watson statistic and its limitations.
• Explore transformations and indicator variables to correct correlation.
• Simulation
Info: • Understand principal components and constrained estimation.
• Explore principal component regression and biased coefficients.
• Learn ridge regression basics and model stabilization strategies.
• Group Discussion
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Tickets for Python Regression Accelerator: 1 Day Workshop in Darwin can be booked here.
| Ticket type | Ticket price |
|---|---|
| Group Registration Fee | 534 AUD |
| Early Bird Fee | 593 AUD |
| Standard Fee | 699 AUD |
