2025 Stata Summer School

2025 Stata Summer School

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

Join us for the 2025 Stata Summer 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. Whether you're brand new to Stata or looking to refine your statistical analysis skills, this summer school offers flexible learning opportunities tailored to your needs.

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Join us for the 2025 Stata Summer 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. Whether you're brand new to Stata or looking to refine your statistical analysis skills, this summer school offers flexible learning opportunities tailored to your needs.

How It Works
Flexible Learning for All Levels

The Summer 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 Stata for Exploratory Analysis and Essential Data Management - offers a comprehensive introduction to Stata and foundational data management skills.
  • Course 2: Data Visualisation using Stata - focuses on creating publication-quality graphs and visualisations using Stata.
  • Course 3: Stata for Medical Statistics dives deeper into statistical analysis with Stata, covering regression models commonly used in medical and health research.
Expert Instruction and Practical Skills

Courses are led by experienced instructors from the London School of Hygiene & Tropical Medicine (LSHTM), 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
  • Confidence using Stata for exploratory analysis, data visualisation, and statistical modelling.
  • Practical experience through worked examples, take-home materials, and Q&A sessions.
  • Skills that are transferable across disciplines – while examples are health-focused, the principles apply broadly.
Who Should Attend?

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

 

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

 

Please note: Although course 3 will use examples from the field of Medical Statistics, the techniques used will be applicable to a wide variety of Subject areas. 

Agenda

Course 1: 23 June 2025

An Introduction to Stata for Exploratory Analysis and Essential Data Management
Course 2: 24 June 2025

Data Visualisation using Stata
Course 3: 25 - 26 June 2025

Stata for Medical Statistics
Day 2:

Session 1
Session 2: Dynamic Panel Models

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 2 –

  • A Visual Guide to Stata Graphics, Third Edition - Michael N. Mitchell, Svend Juul

 

Course 3 –

  • An Introduction to Stata for Health Researchers - Svend Juul
  • Essential Medical Statistics - B Kirkwood and J Sterne,  2nd Edition, Blackwell Science

Course Timetable

Subject to minor changes

Session

Time

First Session

9am-10:30am (London time)

Break

10:30am-11am(London time)

Second Session

11am-12:30pm (London time)

Lunch

12:30pm-1:15pm (London time)

Third Session

1:15pm-2:45pm (London time)

Break

2:45pm-3:15pm (London time)

Q&A

3:15pm-4pm (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

  • Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).
  • 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

  • https://stata-brazil.com/media/iopt/blog/Tim_Clayton_1.webp

    Tim Clayton

    London School of Hygiene and Tropical Medicine

  • https://stata-brazil.com/media/iopt/blog/Tim_Collier.webp

    Tim Collier

    London School of Hygiene and Tropical Medicine

Student Testimonials

Giovanni's delivery is fantastic; makes great connections between new and prior knowledge and focuses on the key strengths and limitations of the discussed methods. Excellent course design that builds on the Introductory Machine Learning course and knowledge acquired in the PhD Econometrics sequences of courses. This is all nicely supplemented by detailed Stata code with explanations and sample datasets. 

Excellent course and great explanations on ML techniques and applications from Giovanni ! I leanred so much including the coding and applications plus the fundamentals of ML.

The 'Advanced Machine Learning (AML)' experience was excellent for trying to gain more experience in Statistics using links Python and STATA.  

I'm not a Statistician! However, Giovanni managed to link the 'Fundamentals of Machine Learning (FML) ' to 'Advanced Machine Learning' in his usual excellent way. When starting the AML, for me I am pleased that the FML was a tremendous help and allowed me to use my mathematical knowledge for Physics and Science. I'm looking forward to Giovanni's next course (using large datasets) and his book.

Linking my knowledge of mathematics (from Science and Engineering) to Statistics. I do hope it is leading towards becoming better at 'Medical Statistics' that require very large datasets...and a big thank you to Giovanni!

Very well organized, very useful and relevant content, looking forward to joining future events!

As always great service and real good courses. In addition, thanks to Professor Cerulli for making himself understood in the best way.

The delivery of this course was exceptionally well done. It really helped me to appreciate the concepts as well as the practical applications in Stata. If you are new to this topic, this will provide a good introduction to complex issues.

Very easy to communicate, all emails contained all the information necessary. I think that the course was very well structured and organized. The tutor provided a number of codes that were extremely helpful for understanding. Overall, very useful and easy to follow!

I highly appreciated Professor Giovannu Cerulli course. The classes notes are very clear   and well prepared with an extensive coverage of the course subjects. And they are simultanesouly quite objective by focusing on the most important contents. Professor Giovannu Cerulli lectures are very didatic which greately helps the easily assimilation of the   corespondent knowledge. Furthermore, the course materials are quite   comprehensive and they englobe not only the classes notes, but also the referenced papers as well as data and Stata programs to estimate the models in this software. All in all, I greatly recommend this   course, as it really amazingly speeds up the acquaintance of the underlying theory and appied aplication in a very short period of time.

I found the Stata Summer School 2021 very useful and interesting. The course was perfectly structured and organised, with a good progression during the week. The instructors presented the topics covered in an easy and understandable way. There were room for questions and answers when needed. Materials shared for the course were tidy and informative, and I am sure I will use them frequently. This course was arranged online, which in my opinion worked very well. I believe the course delivered as promised and according to information found online when I signed up for the course. Easy to purchase/sign up for the course. User friendly. Quick and timely response.

Very efficient in terms of communication and delivery. Provides a very comprehesnive applied knowledge of stata. I would definitely recommend others to buy from them.

I went UK University of Cambridge for a summer school with Timberlake, it was excellent.

It was a great course and I thoroughly enjoyed it. Many of my fellow participants were eager to share their ideas. I thought the course could help further many people in a similar stage to my career!