Predictive Analytics for Executives

Data has the potential to provide a lot of value to organisations. With data analytics, you can access valuable insights and make informed decisions to improve your organisation’s performance and processes. In recent years, the importance of data analytics in the business world has increased, making it critical for organisations and employees to upskill with data analytics capabilities.

However, despite its popularity, many organisations still find it challenging to get data analytics off the ground and on the right track. This is mainly due to a combination of technical and cultural factors. While many organisations hire specialists and consultants to jump-start their analytics journey or work on specific analytics projects, the potential of data analytics can only be sustained if the organisation is able to build data analytics capabilities and culture throughout the organisation.

This one-day data analytics course is designed specifically for professionals with no knowledge of data analytics. Using Orange, you will be participating in hands-on exercises and gain practical business analytics skills. By the end of the course, you will be able to confidently incorporate data analytics into your organisation.

• Gain an overview of the data analytics landscape and the different approaches to data analytics
• Explore case studies on successful data analytics
• Gain a comprehensive understanding of the data analytics value chain and its components
• Understand the principles to building a sustainable analysis culture in an organisation
• Learn how to build an analysis framework using the 6-step framework for data analytics
• Gain practical data analytics skills through descriptive analysis and predictive analytics exercises exercise using Orange
• Learn the principles of data visualisation and storytelling

Businessmen, marketers or investors who seek to understand how data governance can be used to streamline business processes to generate useable and trustworthy data to generate value are welcome. This course is meant for beginners, no coding/programming or computer science background required and those without any knowledge of data are also welcome.

Dwight Fonseka is the Head Data Analyst at Plano, the world’s first science-based parental control application and an Adjunct Lecturer at the London School of Business and Finance. His interest in the area of data developed sometime in 2014 when he ventured into data analytics and database management. 7 years later, he has achieved an impressive skill set in data. This includes advanced statistics, big data analytics, cloud computing, neural networks, R programming, python programming, business analytics, data storytelling, and more. Dwight has a Masters in Education (Curriculum & Teaching), a Microsoft Certificate of Achievement (SQL), and an Advanced Certificate in Learning and Performance (ACLP).