2025 Data Science Winter School

2025 Data Science Winter School

Take the next step in your data journey, with our Online Stata Winter School

Join us for the 2025 Data Science Winter School. This series of courses is aimed at practitioners, academics and professionals, who want to develop their skills in the popular topics of data management, Stata's integration with Python and Machine Learning methods.

Enrol Here
Enrol Here

Select which days you plan to attend:

£300.00
Guaranteed safe and secure checkout
–
4 Days
Online via Teams

Join us for the 2025 Data Science Winter School, a dynamic, four-day online training series designed to equip researchers, data analysts, and students with the skills to manage, visualise, and analyse data effectively using Stata. 

How It Works
Flexible Learning for All Levels

The Winter School is made up of three distinct courses. Participants can choose to attend the entire series or select the specific course(s) most relevant to their research or career goals: 

  • Course 1: An Introduction to working in Stata - Master data processing and management fundamentals in Stata
  • Course 2: Stata and Python Integration - Unlock new capabilities by learning how to integrate Python with Stata for advanced data analysis
  • Course 3: Introduction to Machine Learning with Stata - Dive into machine learning techniques and generative AI applications for data-driven economic and policy decisions
Expert Instruction and Practical Skills

Courses are led by experienced instructors with a focus on: 

  • Good research practices and efficient workflows.
  • Hands-on learning using real-world examples from medical statistics.
  • Emphasis on reproducibility, effective data management, and clear communication of results.
What You’ll Gain
  • Practical experience through worked examples, take-home materials, and Q&A sessions.
  • Skills that are transferable across disciplines
Who Should Attend?

Whether you're looking to start your journey with Stata or sharpen your analytical toolkit, the 2025 Data Science Winter School offers an engaging and practical way to advance your data skills this Winter.

 

Register now to secure your place and take the next step in your data journey!

Agenda

Course 1: 8 December 2025

An Introduction to Stata for Exploratory Analysis and Essential Data Management

Date 8 December 2025
Delivered byTim Collier, LSHTM
Prerequisitesnone

 

This one-day introductory course is for people interested in using Stata effectively in their research.

Course 2: 9 December 2025

Stata and Python Integration

Date 9 December 2025
Delivered byThomas Pical, Equancy
Prerequisitesnone

 

This course will introduce the basics of the Stata and Python language.

Course 3: 10 - 11 December 2025

Introduction to Machine Learning with Stata

Date10-11 December 2025
Delivered bySebastian Laurent, Lancaster University
PrerequisitesSome familiarity with Stata is desirable

 

The aim of this two-day course is to introduce participants to machine learning, a relatively new approach to data analytics at the intersection between statistics, computer science, and artificial intelligence.

Students will be taught how to master the theory and the techniques that allow turning information into knowledge and value by 'letting the data speak'. The teaching approach will be based on the graphical language and intuition more than on algebra. The course will make use of instructional as well as real-world examples, with a balance of theory and practical sessions using Stata.

 

Learning Objectives

By the end of this course you will have knowledge and understanding of:

  • Implementing and optimising machine learning approaches
  • Assessing model performance
  • Selecting key features
  • Using standard machine learning libraries

Day 2:

Session 1
  • Comparing estimators for static panel models for your research question 
  • Testing for serial correlation
Session 2: Dynamic Panel Models
  • The Arello Bond estimator and post-estimation diagnostic test 
  • The Blundell Bond estimator and post estimation diagnostic tests
  • Case study: the determinants of bank risk-taking in European banks.

Prerequisites

Course 1 – 

  • A Gentle Introduction to Stata, Fifth Edition - Alan C. Acock
  • An Introduction to Stata for Health Researchers, Fourth Edition - Morten Frydenberg, Svend Juul

 

Course Timetable

Subject to minor changes

Session

Time

First Session

9.30am-11:00am (London time)

Break

11.00am-11.15am(London time)

Second Session

11.15am-12:45pm (London time)

Lunch

12:45pm-1:45pm (London time)

Third Session

1:45pm-3:15pm (London time)

Break

3:15pm-3:30pm (London time)

Fourth Session

3:30pm-5pm (London time)

 

Subject to minor changes

First Session

Break

Second Session

9am-10:30am (London time)

10:30am-11am(London time)

11am-12:30am (London time)

10am-12pm (London time)

2pm-4pm (London time)

4pm-4:30pm (London time)

 

Terms

 

  • Additional discounts are available for multiple registrations
  • Delegates are provided with temporary licences for the principal software package(s) used in the delivery of the course. It is essential that these temporary training licenses are installed on your computers prior to the start of the course.
  • Payment of course fees required prior to the course start date.

 

Cancellations

  • 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
  • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
  • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.

The number of attendees is restricted. Please register early to guarantee your place.

Delivered By