Mastering Financial Data Analytics

Mastering Financial

17th & 18th Nov 2020

START:
November 17, 2020
DURATION:
2 Days

Address

Online + Live Streaming   View map

Categories

Training Course

Gain Insight Into Your Financial Data From Analysis And Visualization

17th & 18th November, 2020
ONLINE COURSE + LIVE STREAM TRAINING SESSION

KEY BENEFITS OF ATTENDING

  • Learn how to visually explore a financial dataset this is the first step of an analysis
  • Understand how to transform data into a good shape for analysis
  • Learn Power BI Desktop, a free and very popular analysis tool
  • Learn how to link several datasets into a dimensional data model to make your
  • analysis much more powerful

REQUIRED OUTCOMES

After completing the workshop delegates should be able to

  • Connect to, clean and tidy a financial dataset (using Power BI Desktop)
  • Create and use interactive visualisation to analyse a financial dataset and to communicate results to others
  • Understand how to select the right chart for the right data, which visualisations types are best to explain a particular dataset
  • Build a dimensional data model by linking different dataset to increase the analytical power

TRAINER PROFILE

MARK WILCOCK is an independent consultant and trainer. He specialises in data analysis, visualisation and reporting using Power BI and the Microsoft Data Platform. He has worked for several clients including Credit Suisse, BNP Paribas, Nomura and Barclays. He has received Microsoft’s Most Valuable Professional (MVP) award for the last five years. He has a MA in Natural Sciences from Cambridge and an MBA from Imperial College, London. Over the last couple of years Mark has trained thousands of people in data analysis and visualisation and Power BI. Mark is the organiser of London Business Analytics Group, a very popular community meetup group. It has held over 50 free events in the last four years on subjects such as machine learning, data visualisation, ethics of big data, personalised medicine and climate change. Mark is a regular speaker at conferences on data science, machine learning and data visualisation.

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