Cutting Edge Solutions in Data Science, Econometrics & Forecasting

Next-level software solutions, real-world training, and consultancy that delivers results.

 

Cutting Edge Solutions in Data Science, Econometrics & Forecasting

Industry leading training, bespoke consultancy. And the best specialist software solutions.

Our Software Solutions

Stata

Released April 8 2025. Stata 19 provides the latest tools for data science - data manipulation, visualisation, statistics, & reproducible reporting.

OxMetrics

OxMetrics provides a solution for the econometric analysis of time series, forecasting, financial econometric modelling and more.

EViews

A combination of power and ease-of-use make EViews the ideal package for anyone working with time series, cross-section, or longitudinal data. 

NVivo

Macrobond revolutionises investment research workflows, empowering institutions to transform complex data and analytics into actionable insights with unparalleled efficiency.

Citavi

Citavi is the only all-in-one scholarly writing and reference management application. 

Gauss

NVivo is a powerful and intuitive research software for gaining richer insights from diverse data.

Training Courses

2025 Stata Summer School
Online
2025 Stata Summer School
  Tim Clayton   Tim Collier
Fundamentals of Economic Modelling
Online
Fundamentals of Economic Modelling
 Prof  Lorenzo  Trapani
An Introduction to Panel Data using EViews
Online
An Introduction to Panel Data using EViews
 Dr Malvina  Marchese
2025 Econometrics Summer School Cambridge
In-person
2025 Econometrics Summer School Cambridge
 Dr.  Melvyn  Weeks  Prof. Jeffrey Wooldridge
An Introduction to Panel Data using Stata
Online
An Introduction to Panel Data using Stata
 Dr Malvina  Marchese
Introduction to Statistics with Applications in Stata
Online
Introduction to Statistics with Applications in Stata
 Dr. Sofia Tsarsitalidou
Data Visualisation using Stata | Graphs You Should Know
In-person
Data Visualisation using Stata | Graphs You Should Know
 Prof Franz Buscha
Data Scraping using Python & Stata
Online
Data Scraping using Python & Stata
 Dr. Francesco Saverio Stentella Lopes
Theory and practice of modelling stationary data: ARMA and VAR models
Online
Theory and practice of modelling stationary data: ARMA and VAR models
 Prof  Lorenzo  Trapani
Basic Mathematics for Statistics and Econometrics
Online
Basic Mathematics for Statistics and Econometrics
 Dr. Sofia Tsarsitalidou
Modelling Non-stationarity Data in EViews
Online
Modelling Non-stationarity Data in EViews
 Prof  Lorenzo  Trapani
Advances in Causal Inference and Program Evaluation using Stata
Online
Advances in Causal Inference and Program Evaluation using Stata
 Dr  Giovanni  Cerulli
2025 Stata Summer School
Online
2025 Stata Summer School
  Tim Clayton   Tim Collier
Fundamentals of Economic Modelling
Online
Fundamentals of Economic Modelling
 Prof  Lorenzo  Trapani
An Introduction to Panel Data using EViews
Online
An Introduction to Panel Data using EViews
 Dr Malvina  Marchese
An Introduction to Panel Data using Stata
Online
An Introduction to Panel Data using Stata
 Dr Malvina  Marchese
Introduction to Statistics with Applications in Stata
Online
Introduction to Statistics with Applications in Stata
 Dr. Sofia Tsarsitalidou
Data Scraping using Python & Stata
Online
Data Scraping using Python & Stata
 Dr. Francesco Saverio Stentella Lopes
Theory and practice of modelling stationary data: ARMA and VAR models
Online
Theory and practice of modelling stationary data: ARMA and VAR models
 Prof  Lorenzo  Trapani
Basic Mathematics for Statistics and Econometrics
Online
Basic Mathematics for Statistics and Econometrics
 Dr. Sofia Tsarsitalidou
Modelling Non-stationarity Data in EViews
Online
Modelling Non-stationarity Data in EViews
 Prof  Lorenzo  Trapani
Advances in Causal Inference and Program Evaluation using Stata
Online
Advances in Causal Inference and Program Evaluation using Stata
 Dr  Giovanni  Cerulli
2025 Econometrics Summer School Cambridge
In-person
2025 Econometrics Summer School Cambridge
 Dr.  Melvyn  Weeks  Prof. Jeffrey Wooldridge
Data Visualisation using Stata | Graphs You Should Know
In-person
Data Visualisation using Stata | Graphs You Should Know
 Prof Franz Buscha

Upcoming Event

2025 UK Stata Conference

11 - 12 September 2025

Join us for the 31st iteration of the longest-running international Stata conference in London and network and learn with fellow Stata users! Check back soon for more information and the full conference programme

Our Latest Updates

Event

2025 UK Stata Conference - September 2025

The 2025 UK Stata Conference will take place in London on the 11th & 12th September 2025. This year's event marks the 31st iteration of the longest-running Stata Conference globally.


The paper submission window has now closed, check back soon for the full conference programme.

Webinar

What's new in Stata 19

Join our free introductory webinar, led by Dr. Vincent O'Sullivan and discover how Stata 19 makes data analysis faster, smarter, and more intuitive. Whether you're a student, researcher, or data professional, this live session will guide you through its new features and time-saving tools.

Software

Introducing StataNow

New features released at the speed of Stata. With StataNow you will always have the latest verion. StataNow is a continuous-release version of Stata that offers new featurs as soon as they are ready. All annual license customers have access to StataNow - find out mroe below.

Event

Call for Papers | 27th Dynamic Econometrics Conference, September 2025

We are delighted to be accepting presentation submissions for the 27th Dynamic Econometrics Conference, taking place at Bayes Business School between 18 - 19 September 2025. 

The Scientific Organisers seek submissions of full Papers only. Find out more and submit your paper below.

Event

Virtual Open Day

We are delighted to be accepting presentation submissions for the 27th Dynamic Econometrics Conference, taking place at Bayes Business School between 18 - 19 September 2025. 

The Scientific Organisers seek submissions of full Papers only. Find out more and submit your paper below.

What's new in Stata 19

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. 

Georgi Boichev

A student on our

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.

Marco Delprado

A student on our

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!

William Ware

A student on our

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

Hebatallah Nashaat

A student on our

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

David Pineda

A student on our

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!

The Bulletin

  • Causal Machine Learning: Principled Approaches for Econometric Analysis
    Cambridge 2025
    Causal Machine Learning: Principled Approaches for Econometric Analysis
  • professional woman in office programming stata with python
    Stata 19 training
    Why Timberlake is the ideal Partner to deliver Structured Hands-on Training with Stata 19
  • Explaining machine learning code to colleagues
    AI: The Future of Labour Markets
  • Two smartphones displaying generative A platforms
    Farewell GPT-4.0: Which is the best ChatGPT Model for Econometrics & Data Science Programming?
  • The Green Economy: Can Sustainable Investments Drive Growth?
    The Green Economy: Can Sustainable Investments Drive Growth?
  • The Interest Rate Rollercoaster: How High Will They Go?
    The Interest Rate Rollercoaster: How High Will They Go?

Posts

  • Data Science: A Necessity, Not an Option
    Data Science: A Necessity, Not an Option
  • Introducing StataNow!
    Introducing StataNow!
Looking back to our 40th Anniversary Celebrations