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Fitting Statistical Models to Data with Python

Intermediate English SpecializationFREE
Our recommendation
Course 3 of the University of Michigan's Statistics with Python specialization on Coursera. It moves from understanding data to modelling it: linear and logistic regression, generalised linear models and more, all in Python. A solid, rigorous choice for people who want statistical modelling done properly rather than a quick recipe.

Good for: Learning statistical modelling in Python, rigorously.

Less suitable if: You are new to statistics or Python, or want a quick overview.

Skills you'll gain

Statistical modellingLinear regressionLogistic regressionGeneralised linear modelsPythonStatsmodels

Is this course right for you?

A good fit if you…

You want proper statistical modelling
You know some Python and statistics
You are on the Statistics with Python track

Consider something else if you…

You are new to statistics or Python
You want a quick, applied overview
You want machine learning rather than statistics

Requirements: Python plus the earlier Statistics with Python courses (or equivalent stats background).

Realistic time: Around 15–20 hours over a few weeks.

About this course

Fitting Statistical Models to Data with Python is Course 3 of Michigan's Statistics with Python specialization. It moves from understanding data to modelling it: linear and logistic regression, generalised linear models, hierarchical/multilevel models, and Bayesian techniques — all applied through case studies in Python using Statsmodels, pandas, and Seaborn.

What you'll learn

Fit and interpret linear and logistic regression
Work with generalised linear models
Apply hierarchical and multilevel models
Use Bayesian inference techniques
Model data in Python with Statsmodels and pandas
Connect research questions to the right model

This course includes

Yes
Certificate
Yes
Mobile access
English
Language

What it costs

You can audit the course free on Coursera. A certificate needs a Coursera subscription (about $49/month) or Coursera Plus, with financial aid available. It is course 3 of the University of Michigan Statistics with Python Specialisation.

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Is the certificate recognised?

A University of Michigan certificate on Coursera is a credible learning record. It is a course certificate rather than a professional qualification or degree.

Last updated

Instructor

BG
Brenda Gunderson
Coursera instructor

Taught by University of Michigan statistics faculty including Brenda Gunderson, Brady West, and Kerby Shedden. The course brings a rigorous, applied-statistics perspective with hands-on Python throughout.

About this provider

CO
Coursera
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Frequently asked questions

It helps — this is course 3 of the specialisation and assumes the earlier statistics and Python foundations.
Yes, you can audit it free; the certificate needs a Coursera subscription or Coursera Plus.
Statistics — it focuses on statistical modelling (regression, GLMs) rather than ML algorithms, though the two overlap.
Comfort with Python and libraries like statsmodels; it is not a Python-from-scratch course.
Around 15–20 hours over a few weeks.
Free
to audit
Enroll now