August 2021
Gonville & Caius College, University of Cambridge,
Cambridge, UK


Data Analytics School

Harness the value of data analytics for increased profits, improved efficiency and optimized business decisions.

5-day practical foundational/intermediate data analytics course for accounting and finance professionals, in the historical setting of Gonville & Caius College, University of Cambridge, UK.

Gain critical skills to drive your company and career forwards:

Day 1: Data Analysis Fundamentals
Day 1: Data Analysis Fundamentals

Discover the different job roles involved in the analytics practice, the most commonly encountered technologies in today's data ecosystem, and the concepts behind the most common types of data you will need to analyse.

  • Determine how the digital transformation and disruption landscape create opportunities across the enterprise
  • Identify the organisational ecosystem needed for becoming a data-driven organisation
  • Analyse the life cycle of data and its implications for data-driven decision making
Day 1 modules
Day 2: Application of Data Analysis Essentials
Day 2: Application of Data Analysis Essentials

Discover how to analyse data and calculate fundamental aspects of your data sets and provides the core concepts and definitions of data analytics.

  • Determine and classify variables
  • Calculate central tendency
  • Calculate measurement and variability
Day 2 modules
Day 3: Data Analytics Modeling
Day 3: Data Analytics Modeling

Expand your ability to work with structured and unstructured data to drive a successful analytics practice.

  • Identify opportunities, processes, and necessary data for solving analytical problems.
  • Apply data profiling techniques to available data.
  • Apply data cleansing techniques.
Day 3 modules

Day 4: Forecasting and Predictive Analytics
Day 4: Forecasting and Predictive Analytics

Discover fundamental techniques used for predictive analytics: regression, classification, clustering, optimisation, and simulation.

  • Identify the different techniques of predictive analytics:
    • regression
    • classification
    • clustering
    • optimisation
    • simulation
  • Calculate varying types of regressions using R and Excel
  • Apply classification and clustering algorithms
Day 4 modules
Day 5: Data Visualisation
Day 5: Data Visualisation

This certificate will teach you fundamental visualisation techniques and explore a sampling of the most common reporting tools for producing meaningful visualisations.

  • Formulate a data story with visualisations
  • Identify key stake holder perspectives
  • Determine organisational data needs
Day 5 modules

Understanding Data – Structured Data Tools

Understanding Data – Unstructured Data Tools

Measuring Distance 

Classification Support Vector Machine 

Classification Decision Trees 

Learn in a variety of formats; in-depth presentations, interactive group discussions and practical case studies.

The evenings are devoted to networking activities. Connect with the speakers and your international peers. Reinforce your learning, exchange ideas and enjoy your experience at Gonville & Caius College, University of Cambridge, UK.

What will you gain?

In-depth training days; accommodation, meals and networking activities are all included
CPE hours (taught and post-work)
Taught modules; get your questions answered by the experts one-on-one

Earn an AICPA & CIMA digital badge and Data Analytics certificates

On completion of the Summer School, you will receive a digital badge and certificates to share with your professional network.

Available as a downloadable PDFs suitable for printing and framing.

Showcase your solutions to in-house professionals

Engage with finance and accounting professionals from a range of sectors looking to enhance their data analytics solutions in 2020.

Showcase your expertise through tailored branding opportunities; host an evening networking activity and exhibit at the event.

Get in touch with Oliver Samkin to discuss bespoke opportunities for your business.