Python Statistical Modelling

TRAINING COURSE

Python Statistical Modelling

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COURSE TRAINERS

Mark Badham

Details

This course will be useful for individuals interested in leveraging statistical modelling to analyze data and derive insights for decision-making. It is designed for data scientists, statisticians, researchers, analysts, and professionals across various industries who work with data and seek to understand patterns, relationships, and trends in their datasets. Additionally, students and academics studying statistics, data science, or related fields will benefit from mastering statistical modelling techniques using Python.

In this course, you will learn to apply a wide range of statistical models to analyze data, make predictions, and draw meaningful insights for decision-making using Python.  You will focus on 2 key areas:

  • Derive statistical inferences
  • Create statistical models

Delivery Methods

Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of six delegates. We remain committed to offering training that is fast, focused and effective.

Delivery Method Duration Price (excl. VAT)
Classroom 2 Days ZAR 5,900.00 Get a Quote
Live Virtual Training 2 Days ZAR 5,500.00 Get a Quote

Discounts Available

Save up to 10% by booking and paying 10 business days before the course.

Brochure:

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Information may change without notice.

Audience

  • Data scientists
  • Programmers
  • Business analysts 
  • Engineers
  • Scientists

Pre-Requisites

Leading Training's Python Course or equivalent Python programming knowledge.

Mathematical ability at matric core maths level

Basic statistics knowledge

 

 

Course Outline / Curriculum

  • Introduction to Statistical Modelling

    • Overview of statistical modelling concepts and methodologies. 

    • Explanation of the role of statistical models in data analysis and decision-making. 

  •  

  • Statistical inference  

    •  Polls 

    •  Populations, samples, parameters, and estimates 

    •  Central Limit Theorem in practice 

    •  Confidence intervals 

    •  Power 

    • p-values 

    • Association tests 

    •  

  • Statistical models  

    • Poll aggregators 

    •  Data-driven models 

    •  Bayesian statistics 

    •  Bayes theorem simulation 

    •  Hierarchical models 

    • Case study: election forecasting  

    • The t-distribution 

Schedule Dates and Booking

To apply for a booking, click on the relevant "Book Now" button below.
Note: places are only fully secured once payment has been made.

Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of six delegates. We remain committed to offering training that is fast, focused and effective.

Start Date End Date Branch Status  
Mon 10 Mar 2025 Tue 11 Mar 2025 Fourways Scheduled

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