Events at the DSL


The Digital Skills Lab run various events to improve students' digital skills for employability, learning and personal growth.

See below for more information of previous events, upcoming events and how you can get involved. 

"The Python Coding Challenge really was a rewarding experience! It makes you think outside the box and pushes you to learn more about how you can independently apply Python to your individual tasks."Sita, LSE Student

 

UPCOMING EVENTS

Currently we have no scheduled upcoming events, please keep an eye out on this page for updates.

If you would like to collaborate with us or have any event ideas, please feel free to get in touch with us at digital.skills.lab@lse.ac.uk.

 

PREVIOUS EVENTS

Celonis MasterClass

3 Week Masterclass: Data Management & Digital Consulting with Celonis

Timelines

The recent Masterclass was successfully delivered in Michaelmas Term 2022 - keep an eye out for the next one on the Digital Skills Lab Moodle site. 

About

An oppotrunity to learn with Germany’s and New York’s most valuable startup,  Celonis, what the Management of tomorrow will look like in a world that is more digitized than ever. Celonis helps organizations track their internal processes based on digital footprints in IT systems. With this, Celonis has turned into the market leader for Executive Management Technology with customers like Unilever, Coca Cola or BMW. Celonis uses Process Mining technology as well as different AI and ML capabilities to reveal insights into what is happening in an organization and to provide direct recommendations.

In this Mastercourse, students learn about trends in Digital Transformation and Data Driven Management and how process-oriented data science can facilitate an analytical viewpoint internal organizations. It is further a chance to gain business user skills the Celonis software and how to use it in a management and management consulting context.

Why participate in this Management Consulting masterclass?

  • Develop consulting skill-set
  • Gain skills to solve real-world challenges for companies
  • Study the impact of processes on businesses

Target Audience

Open to everyone interested in data science and its impact on business. Suitable from undergraduates to researchers, and anyone in between.

Prerequisites

No prerequisites. An understanding of information systems and Business Process Model and Notation (BPMN) can provide a good basis, but this is not a requirement.

This masterclass runs as a joint initiative of the LSE Digital Skills Lab, the LSE Data Science Institute and Celonis.

 

Python Coding Challenge

Timelines

The recent coding challenge was successfully delivered in Lent Term 2023 - keep an eye out for the next one on this page and the Digital Skills Lab Moodle site

About

The Digital Skills Lab have an ongoing partnership with LSE Careers and international market maker Optiver to be providing the recurring Python Coding Challenge.  

Participants focus on options trading in financial services, utilising a cutting-edge virtual exchange developed by Optiver. They work in teams to develop trading algorithms in Python; testing and then optimising the algorithm's performance to achieve the best possible trading outcome. 

This year's challenge concluded at the end of the Lent Term, with the awards ceremony taking place on 20th March 2023.

Target Audience

Open to everyone interested in coding, specifically python, and its impact on business. Suitable from undergraduates to researchers, and anyone in between.

Prerequisites

To have completed a pre-course on Python - more details found under "upcoming events" once the next event has been scheduled.

If you want to take part next year, please keep an eye out on the Digital Skills Lab Moodle site.

Not sure if it’s for you? Check out the results and presentations from the participants of the Python Coding Challenge: Lent Term 2023.

If you have another idea for a coding challenge you would like us to help develop, please do get in touch by emailing us at digital.skills.lab@lse.ac.uk.