Data Analytics

Convert data insights into business value

This is a self-paced online program. Start at any time. Finish within 6 months.

A successful business is a data-driven business. We are all aware of the power of analytics to drive growth and outperform competitors, but for many of us, leveraging data to make more effective decisions remains a key challenge. 

This program will help you to dive deeper into your data, identify valuable insights and design new strategies around them.  

• Understand the methods of contemporary analytics  

• Acquire the skills to interpret data and extract actionable insights 

• Learn to understand the language of your data analysts 

• Prepare for new AI tools that can enhance, automate and scale your decision making   

 
Intelligent use of data can transform every aspect of your business. Don’t overlook its potential. 

Who should attend the program?

Senior managers and executives who aim to implement data-driven decision processes in their teams, and who wish to understand the principles of analytics or to acquire the knowledge and communication skills needed to steer their analysts. The course is also tailored for managers confronted with a specific analytics challenge who are expected to come up with concrete proposals on how to distill and extract value from data.

The program does not require any prior knowledge of coding or quantitative methods, although basic experience with Microsoft Excel would be helpful.

Benefits

• Become an informed and empowered user of analytics 

• Learn how to use key tools for quantitative analysis 

• Understand how machine learning can power new insights and automate decision making 

• Journey into the world of predictive analytics and prepare to leverage it to build stronger customer experiences 

• Examine risk analysis and the power of decisions trees to help navigate through complex decision-making under uncertainty 

Key topics

• Analytics Fundamentals: how to use the toolkit of an analyst. 

• Advanced Analytics: explore predictive analytics, focusing on regression and cluster analysis 

• Decision Trees and Risk Analysis: learn about decision trees as an advanced tool to address uncertainty by mapping out, organizing, and analyzing decision paths and chance events  

• Machine Learning and Artificial Intelligence: discover how machine learning can enhance, automate, and scale business decision-making processes