About
Get ready to engage with the new world of big data and analytics. This learning pathway will enable you to gain a better understanding of data analytics and how to use it to create added value in your organisation. It provides an overview of tools and techniques available to finance professionals and their practical application.
CPD: 20 hours
Full Programme
What is Data Analytics
- Introductory webinar: Accountants and the Data Revolution Paula Guilfoyle
- Pathway orientation and planning
- The big data era – data science data analytics and impact on accountants
- Types of analytics and data – predictive, descriptive/nominal, ordinal, categorical, numerical
- What is business intelligence
Statistics for accountants in excel
- Descriptive statistics in excel
- Basic probability in excel
- Variables - an overview
- The Basics of Sampling
- Hypothesis testing
More Advanced Data Analysis Tools
- Introduction to PowerBI
- Data preparation and data cleaning
- Data modelling with CAX
- Data visualisation
Case Studies
- Case study – business intelligence in action
- Case study – business intelligence in action
Moving Forward
- Machine learning and its role in accounting
- Hadoop, big data and the cloud
- Bridging the gap between IT and accounting departments
- Wrap-up and action planning
Course leader
Becky Reid is a digital marketing consultant & practitioner with over 20 years marketing experience across, amongst others, automotive, publishing and fire protection industries.
Becky works with small- and medium-sized organisations, helping them to maintain, improve and grow their digital marketing activities. This includes conducting data protection audits and training clients on how to manage their data. Her clients include educational establishments, web agencies, speaker bureaus and publishers.
Becky also speaks at conferences & events on both data protection and other aspects of digital marketing.
Booking information
Course price
330 + VAT (Non-members)
The Chartered Governance Institute UK & Ireland Members and Students get a discount of 10% with the code ICSA101