Business Analytics: Decision-Making Using Data

Your learning journey

Module 1: Decision biases

• Learn how to identify the types of biases in a decision-making process and ask for the right information

Module 2: Descriptive analytics

• Discover how to collect, clean and describe the data you have, including summary statistics

Module 3: Big data opportunities

• Identify what big data means to you and what you can do with it while learning the four Vs of big data—volume, variety, velocity and veracity

Module 4: Experimentation

• Understand the gold standard for making experimentation work, design experiments to gather meaningful data and make data-driven decisions

Module 5: Predictive analytics I – Machine learning

• Master how to use machine learning tools/models, identify neural networks and analyse data to optimise decisions for your business

Module 6: Predictive analytics II – Neural networks

• Learn about the applications and predictive capabilities of neural networks and explore how to choose the network architecture

Module 7: Prescriptive analytics I

• Understand what prescriptive analytics is and learn how to connect predictive analytics to a business objective

Module 8: Prescriptive analytics II – Behavioural economics biases

• Learn more about prescriptive analytics by understanding risk aversion, sunk cost fallacy, diversification, decision-making processes and debiasing

Module 9: Ethics/legal and organisational issues

• Identify organisational issues that you will need to consider when making decisions along with the legal and ethical issues behind gathering, storing and using data.

Download the Open Programmes brochure for more information on the modules and faculty.

After completing this programme, you will be able to:

• Recognise different types of biases that give way to bad decision making and learn how to overcome them
• Avoid bias in decision making by asking questions critical to your business and identifying the data needed to answer those questions
• Learn about the sources of data, the intermediary software services that can fetch those data into your database, and then assess the quality of the collected data
• Explain the reasons behind past events by analysing and summarising data
• Predict future outcomes by choosing the appropriate machine learning algorithm to use in a business context
• Learn the implementation challenges of creating a data-driven organisation
• Understand the ethics and regulatory issues involved in making decisions using data
• On completion of the programme, participants will be awarded a digital certificate of completion by Cambridge Judge Business School Executive Education.

This programme counts towards the Cambridge Judge Business School General Management Certificate of Achievement. On completing the GMCA you will be eligible to become an associate member of Cambridge Judge Business School’s global network of graduates and business-focused University of Cambridge alumni, faculty and staff.