Data-Driven Management: Analysis, Visualisation, and Storytelling Executive Programme

Certificate of professional advancement

Integrating content from two flagship LSE courses, learn to critically evaluate data from tools like generative AI, assess analytical outputs, and produce insightful visualisations.

16 weeks, entirely online with self-paced weekly modules

Learn to use evolving data tools like Tableau and Excel

Learn from LSE faculty and industry experts

Earn an official certificate of professional advancement from LSE

On completion of this course, you’ll walk away with:

1

Practical data analysis and visualisation skills using Excel and Tableau, which will enable you to create clear dashboards and communicate data insights effectively.

2

The ability to evaluate data reliability and critically assess analytical outputs, which will prepare you to make data-informed business decisions.

3

An understanding of technical considerations underpinning effective data analysis and visualisation, including data cleaning and management and the ability to work with evolving data tools.

This Data-Driven Management: Analysis, Visualisation, and Storytelling Executive Programme is certified by the United Kingdom CPD Certification Service, and may be applicable to individuals who are members of, or are associated with, UK-based professional bodies. The course has an estimated 124 hours of learning.

Note: should you wish to claim CPD activity, the onus is on you. The London School of Economics and Political Science (LSE) and GetSmarter accept no responsibility, and cannot be held responsible, for the claiming or validation of hours or points.

Course curriculum

Over the duration of this online course, you'll work through two different sections that are designed to enhance your professional impact. The weeks consist of:

Week 0

Welcome to your Online Campus

Meet and engage with your learning and peer networks as you navigate the Online Campus.

Week 1–8

Over eight weeks, you will explore the foundations of data analysis, with strong applications in business intelligence, marketing, and financial modelling. You will learn how to make data-driven decisions by understanding data reliability and statistical significance. The section introduces Tableau, emphasises problem formulation before analysis, examines probability distributions, regression, and time-series forecasting. Practical data visualisation skills are developed throughout this section, leading to a capstone project.

WEEK 9: Course break - Orientation to Applied Data Visualisation and Analysis for Business

Week 10–15

Following a one-week course break, you will begin Section II by developing practical skills in creating advanced data visualisations and dashboards using Tableau, along with various econometric and statistical modeling methods in Excel, including multiple linear regression, forecasting, and simulations. Over six weeks, you will refine data presentation skills, make informed data analysis decisions, understand technical considerations, and build lasting skills for an evolving data field.

This course if for you if you are:

  • Ready to position yourself for new career opportunities: Develop the essential data analysis and visualisation skills needed to succeed in today's ever-evolving, data-driven business environment.

  • Eager to make effective decisions: Learn to critically evaluate and interpret data, apply effective tools, and confidently communicate insights that drive smarter, more informed business strategies.

  • Seeking to validate your expertise: Earn a certificate of professional advancement from LSE, formally validating your advanced knowledge of data analysis for business management and advancing your career prospects.

Your course convenor

Dr James Abdey

Associate Professor (Education), Department of Statistics, LSE

James is an associate professor (education) in statistics, having gained his PhD in 2010 from LSE asking "To p, or not to p?"! He teaches the department's large service-level undergraduate courses in mathematical statistics and quantitative methods, as well as elective courses in market research. His research interests include market research techniques and forensic statistics – the interplay of statistics and the law. James has been closely involved with LSE's Summer School and the University of London International Programmes for a number of years. Outside of academia, he has also worked on various quantitative-based consultancy projects in areas including the art market and the World Gold Council. He is also author of Business Analytics: Applied Modelling and Prediction, published by SAGE.

"It's never too late, there are always possibilities to reskill or upskill."

– Dr James Abdey, Associate Professor (Education), Department of Statistics, LSE

An online education that sets you apart

This LSE online course is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals and benefit from the opportunity to:

Gain verifiable and relevant competencies and earn invaluable recognition from a world-leading social science university, entirely online and in your own time.

Enjoy a personalised, people-mediated online learning experience created to make you feel supported at every step.

Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones.

Want to know more?

Enter your information to access the course prospectus and learn more about this course from GetSmarter.

Want to know more?

Enter your information to access the course prospectus and learn more about this course from GetSmarter.