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Statistical Modelling in Python

One day course with tutor support!

Royal Statistical Society

Summary

Price
£427.20 - £592.80 inc VAT
Study method
Online + live classes
Duration
1 day · Full-time
Qualification
No formal qualification
Certificates
  • Certificate of Attendance - Free
Additional info
  • Tutor is available to students

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Dates

Start date
End date
15/05/2024
15/05/2024

Overview

The purpose of this course is to introduce participants to the Python for statistical computing. The course focuses on working with and visualising data in Python, and linear regression modelling in Python using relevant packages.

This course is being delivered on 15 May 2024

Description

The purpose of this course is to introduce participants to the Python for statistical computing. The course focuses on working with and visualising data in Python, and linear regression modelling in Python using relevant packages.

Learning outcomes

By the end of the course, delegates will:

  • Understand logical and relational data partitioning.
  • Have a thorough understanding of popular statistical techniques.
  • Have the skills to make appropriate assumptions about the structure of the data and check the validity of these assumptions in Python
  • Be able to fit regression models in Python between a response variable and understand how to apply these techniques to their own data using Python
  • Be able to cluster data using standard clustering techniques.


Topics Covered

  • Summary statistics: Measures of location and spread.
  • Basic hypothesis testing: Examples include the one-sample t-test, one-sample Wilcoxon signed-rank test, independent two-sample t-test, Mann-Whitney test, two-sample t-test for paired samples, Wilcoxon signed-rank test.
  • ANOVA tables: One-way and two-way tables.
  • Simple and multiple linear regression: Including model diagnostics.
  • Clustering: Hierarchical clustering, k-means.
  • Principal components analysis: Plotting and scaling data.

Who is this course for?

Learners who wish to be able to apply some key statistical concepts using the language of Python

Requirements

The course requires familiarity with basic statistical methods (e.g. t-tests, box plots) but assumes no previous knowledge of statistical computing.
Delegates are expected to bring a laptop. Instructions will be provided to help them install the required Python software.

Questions and answers

Certificates

Certificate of Attendance

Digital certificate - Included

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

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Similar subjects: Statistics, Python, Maths, Coding
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