10-14 August 2020
Gonville & Caius College, University of Cambridge,
Cambridge, UK

AICPA-CIMA 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.

COVID-19 UPDATE

We're looking forward to welcoming you at the AICPA & CIMA Data Analytics Summer School in August. Our number one priority is the safety of our delegates and colleagues, and there are always measures in place at our venues to safeguard your health and safety. There are extra measures in place for 2020 in light of developments with COVID-19.

Gain critical skills to drive your company and career forwards:

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

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

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

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

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
Post-work:

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?

5
In-depth training days; accommodation, meals and networking activities are all included in the price of your pass
40+
Taught modules; get your questions answered by the experts one-on-one
47.5
CPE hours (taught and post-work)

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.