

# Event Details

- **Event Name**: Master Applied Regression in Python: 1 Day Intensive | Burlington
- **Event Start and End Date**: Tue, 10 Mar, 2026 at 09:00 am – Tue, 11 Aug, 2026 at 05:00 pm (-04:00)
- **Event Description**: Accelerated Python Regression Workshop: Learn Modelling, Diagnostics, and Prediction in One Intensive Day.About this EventGroup Discounts:Save 10% when registering 3 or more participantsSave 15% when registering 10 or more participantsAbout This CourseDuration: 1 Full Day (8 Hours)Delivery Mode: Classroom (In-Person)Language: EnglishCredits: 8 PDUs / Training HoursCertification: Course Completion CertificateRefreshments: Lunch, snacks, and beverages includedCourse OverviewThis 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 ObjectivesBy 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 AudienceThis course is ideal for:Data science beginners with basic Python knowledgeStudents and professionals exploring statistical modellingBusiness analysts and researchers working with dataAnyone looking to strengthen analytical and regression skillsWhy 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 Catils. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.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:   https://cdn-az.allevents.in/events3/banners/8ccbb250-043a-11f1-af80-63c7d4652b84-rimg-w983-h740-dc1a1414-gmir.jpg   https://cdn-az.allevents.in/events2/banners/8cf6e100-043a-11f1-9d20-df07b4a7345e-rimg-w987-h740-dcbca890-gmir.jpg   https://cdn-az.allevents.in/events8/banners/8d1ba710-043a-11f1-888a-7935f87146a8-rimg-w1200-h678-dcffffff-gmir.jpg   https://cdn-az.allevents.in/events5/banners/8d3f5bb0-043a-11f1-af80-63c7d4652b84-rimg-w1200-h524-dcffffff-gmir.jpg   https://cdn-az.allevents.in/events10/banners/8d66e0e0-043a-11f1-9d20-df07b4a7345e-rimg-w1200-h436-dcffffff-gmir.jpg AgendaModule 1: Introduction to Regression AnalysisInfo: •	Understand what regression analysis is and why it is used.
•	Explore publicly available datasets for modelling.
•	Learn key steps in performing regression analysis.
•	IcebreakerModule 2: Simple Linear Regression EssentialsInfo: •	Learn covariance, correlation, and basic model structure.
•	Explore parameter estimation and hypothesis testing.
•	Understand predictions and evaluating model fit.
•	Case StudyModule 3: Multiple Linear Regression ConceptsInfo: •	Learn interpretation of regression coefficients.
•	Understand centring, scaling, and estimator properties.
•	Explore inference and prediction in multiple regression.
•	SimulationModule 4: Regression DiagnosticsInfo: •	Understand standard regression assumptions.
•	Learn residual types, normality, linearity, and influence.
•	Identify outliers and assess model violations.
•	Role PlayModule 5: Qualitative Predictors &amp; Indicator VariablesInfo: •	Learn how to include categorical predictors in regression.
•	Understand interaction variables and seasonal indicators.
•	Explore multi-equation regression systems.
•	Case StudyModule 5: Qualitative Predictors &amp; Indicator VariablesInfo: •	Learn how to include categorical predictors in regression.
•	Understand interaction variables and seasonal indicators.
•	Explore multi-equation regression systems.
•	Case StudyModule 6: Transformations &amp; Model ImprovementInfo: •	Apply transformations for linearity and variance stabilization.
•	Detect heteroscedasticity and apply weighted least squares.
•	Use log and power transformations to enhance model accuracy.
•	ActivityModule 7: Problem of Correlated Errors 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.
•	SimulationModule 8: Collinearity &amp; Advanced Regression ConceptsInfo: •	Understand principal components and constrained estimation.
•	Explore principal component regression and biased coefficients.
•	Learn ridge regression basics and model stabilization strategies.
•	Group Discussion
- **Event URL**: https://allevents.in/burlington/master-applied-regression-in-python-1-day-intensive-|-burlington/100001982484534610
- **Event Categories**: workshops, performances, entertainment
- **Interested Audience**:
  - total_interested_count: 0

## Ticket Details

- **Ticket URL**: https://consumer.pxf.io/c/1339408/3151484/39691?partnerpropertyid=1191892&MediaPartnerPropertyId=1191892&svlink=14105511&level=1&u=https%3A%2F%2Fwww.eventbrite.com%2Fe%2Fmaster-applied-regression-in-python-1-day-intensive-burlington-tickets-1982484534610
- **Ticket Price Range**: min: 633.68, max: 807.56, currency: CAD

## Event venue details

- **city**: Burlington
- **state**: ON
- **country**: Canada
- **location**: Regus ON, Burlington - North Service Road
- **lat**: 43.3717453
- **long**: -79.7838788
- **full address**: Regus ON, Burlington - North Service Road, 4145 North Service Road  #2nd Floor, Burlington, Canada
- **location**: Regus ON, Burlington - North Service Road

## Event Organizer details

- **affiliate_id**: 10
- **organizer**: Catils_inc (https://allevents.in/org/catils_inc/26713864)

## Event gallery

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- **Alt text**: thumbnail
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## FAQs

- **Q:** When is the event happening?
  - **A:** Tue, 10 Mar, 2026 at 09:00 am (-04:00)
- **Q:** Where is the event happening?
  - **A:** Regus ON, Burlington - North Service Road, 4145 North Service Road  #2nd Floor, Burlington, Canada
- **Q:** What is the ticket price?
  - **A:** starting from 633.68 up to 807.56 CAD
- **Q:** Who is organizing the event?
  - **A:** Catils_inc
- **Q:** What type of event is this?
  - **A:** workshops, performances, entertainment
- **Q:** Where can I find ticket details about Master Applied Regression in Python: 1 Day Intensive | Burlington ?
  - **A:** You can find ticket details about this event on AllEvents.

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