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ezyStat

Statistics and data science training

Practical courses taught by an experienced university statistics lecturer, using real data and the software you work in. Suitable for researchers, analysts and whole teams.

Enquire about training

Course categories

Each course is tailored to the group's level and data. Learning objectives below are typical; we agree the final outline with you before the course.

Statistical foundations

Beginner to intermediate

Courses

  • Introduction to Statistics
  • Probability and Statistical Inference
  • Applied Statistics
  • Statistical Hypothesis Testing

You will be able to

  • Summarise and describe data correctly
  • Choose and carry out standard tests
  • Interpret p-values and confidence intervals without common errors

Modelling

Intermediate to advanced

Courses

  • Regression and ANOVA
  • Advanced Statistical Modelling

You will be able to

  • Fit, check and compare regression models
  • Handle categorical, count and repeated-measures outcomes
  • Report models clearly for papers and reports

Research and survey methods

All levels

Courses

  • Research Methods
  • Survey Design and Sampling
  • Statistical Reporting

You will be able to

  • Design studies that answer the research question
  • Write unbiased questionnaires and choose a sampling approach
  • Present results honestly and clearly

Software

Beginner to advanced

Courses

  • R Programming
  • Python for Data Analysis
  • SPSS
  • Excel for Statistical Analysis

You will be able to

  • Import, clean and reshape real data
  • Run analyses reproducibly
  • Produce publication-quality tables and charts

Data science and analytics

Intermediate

Courses

  • Introduction to Data Science
  • Data Visualisation
  • Business Analytics

You will be able to

  • Build simple predictive models and judge their performance
  • Design charts that communicate one message well
  • Turn analysis into business recommendations

Delivery formats

Online or in person. Group sizes are kept small so everyone can work through exercises on their own computer.

One-to-one training
Personal sessions built around your own project and data.
Online workshops
Live, practical sessions for individuals or small groups.
Small-group courses
Multi-week courses with exercises between sessions.
Corporate training
Courses for teams, planned around your tools and analyses.
Research methodology workshops
Focused sessions for research groups and doctoral programmes.
University and institutional training
Modules and staff development for academic institutions.
Self-paced online courses Planned
Recorded courses with exercises and quizzes are planned for a later phase.

How a training enquiry works

  1. 1

    Tell us about the learners

    Their current level, the software they use and what they need to be able to do afterwards.

  2. 2

    Agree an outline

    We send a course outline, format, schedule and price for you to review.

  3. 3

    Run the course

    Live sessions with exercises, using your data where appropriate.

  4. 4

    Follow up

    Materials and code are shared afterwards, with an optional follow-up session.

Planning training for yourself or a team?

Tell us who the training is for and what they need to achieve. We will reply with a suggested outline.

Request a consultation