Business Analytics: Decision Making Using Data

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Course Dates

STARTS ON

November 17, 2021

Course Duration

DURATION

3 months, online
4–6 hours per week

Course Duration

PROGRAMME FEE

US$2,000

Course Information Flexible payment available
Course Information Special group enrolment pricing

Why Enrol for the Business Analytics Programme?

This programme is designed for managers across different functions who are interested in implementing analytics projects at their organisation, and provides them with the techniques needed to transform their organisation into one that is driven by data. The assignments and cases in the programme focus on interpreting the results of analysis and taking decisions based on them. The programme will also include demonstration of some advanced analytics tools such as TensorFlow. The programme does not require coding.

Syllabus

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.

Module 1:

Decision Biases

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

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 2:

Descriptive Analytics

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

Module 7:

Prescriptive Analytics I

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

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 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 4:

Experimentation

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

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.

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.

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Case Studies

Image displaying a silver hotel reception call bell to portray the Hotel Industry.

Hotel Industry

How does a hotel booking platform test whether advertising on its website works?

Image of a woman in front of multiple screens to portray the company Netflix.

Netflix

How did Netflix use a competition to improve its search and recommendation algorithms?

Image of a person's hand merged with AI graphics to portray Art.

Art

How can you use neural networks to train computers to replicate the styles of different artists?

Image displaying a woman's stylish analog wrist watch to portray London Time.

London Time

How many fashion watches should London Time order before the selling season begins?

Image of a doctor's hand holding strips of medicine to portray Cambridge Breakthrough Science.

Cambridge Breakthrough Science (Biotech Company)

How does the company decide which two of the four promising drugs can be developed further?

Image of a person carrying a packaged carton box to portray the company UPS.

UPS

How did UPS's ORION initiative allow the company to save an estimated $300 to $400 million and lead to a reduction of 100 million miles driven?

Image of corporate employees in a modern office to portray Google Oxygen.

Google Oxygen

How did Google use data to see whether managers matter?

Note: All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Assignments

Image of racing car on tracks to represent Carter Racing.

Carter Racing

How does a car racing team decide whether to participate in a race or not?

Image of auction table gavel and sound block to represent SmartService (Scientific Instruments Company).

SmartService (Scientific Instruments Company)

How does SmartService use a decision tree to calculate their bid for a new contract?

Image of a man on computer trying to breech digital security to represent the company TalkTalk.

TalkTalk

What should TalkTalk have done differently after they were hacked? How should they have protected their customers’ data?

Note: All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Faculty

Profile picture of course faculty Dr Nektarios (Aris) Oraiopoulos

Dr Nektarios (Aris) Oraiopoulos

University Lecturer in Operations Management, Director of the MPhil in Strategy, Marketing & Operations Programme

Dr Oraiopoulos earned his PhD from the Georgia Institute of Technology. His research is focused on understanding how organisations make high-stakes decisions, such as whether to invest in a new project... More info

Profile picture of course faculty Dr David Stillwell

Dr David Stillwell

Reader in Computational Social Science; Academic Director of The Psychometrics Centre, Cambridge Judge Business School

Dr Stillwell studies the links between big data and psychology—in his research with 6 million social media users, he found that the computer can predict a user’s personality as accurately as a spouse can, and in his follow-up study, he found that personalizing an advertisement... More info

Testimonials

"This programme allowed me to understand business analytics from different perspectives. What I loved the most was the cultural diversity as well as having people from many different fields; it enriches the learning process by adding different point of views. The real-life cases made the application fields a lot easier to understand. The professional attitude and knowledge of the faculty stood out—you have a smart and kind team handling the programme!"

— Alejandra Hernandez, Internal Auditor, Intel Corporation

"The theory put into practice is very strong in this programme, and the course is based on research, real-use cases and experiences."

— Zahi El Haiby, Consultant, Delivery Associates

"The subject knowledge and experience of Professors Aris and David are phenomenal. The pedagogy used in the entire course was excellent. The course material is customised and rich, and the short videos make even big concepts clear, with sufficient material for reference reading. It was great learning from such a global, diverse and experienced cohort with 248 candidates!"

— Deepak Joshi, Deputy Vice-President, Renault Nissan Technology and Business Centre India

"The best part of the programme was seeing real-life examples of how and where data is used in decision making. It was good to finally understand the term “machine learning” and the limits and possibilities of data-driven decision making."

— Elijah Lutwama, Head of Finance, ASARECA

"The programme helped me see the value analytics brings to decision making. I appreciated the lesson on psychological and behavioural influence on analysis and decision making. I also thoroughly enjoyed all the business cases examples that Dr. Stillwell and Dr. Oraiopoulos brought to class—they were highly relatable. The programme also helped me understand the critical role of the ‘interpreter’ between business and data scientists."

— Cui Heng Cao, Business Architect, Cisco Systems, Inc.

"The overall structure of the programme was very good. The big thing for me was understanding analytics-based decisions that other companies are making in their business. This course pulled it all together and it will help guide me in my next venture."

— Paul Watson, Business Intelligence, FT

Certificate

Example image of certificate that will be awarded after successful completion of this program

Certificate

Upon successful completion of the programme, participants will be awarded a digital certificate of completion by Cambridge Judge Business School Executive Education.

Please note that this programme can be incorporated into the completion of the Cambridge General Management Certificate of Achievement (GMCA). It will be credited as an "in-person" two-day programme for the purpose of meeting the GMCA requirements. If you require more details on the GMCA and wish to speak to our advisors, please contact [email protected].

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Note: After successful completion of the online programme, your verified digital certificate will be emailed to you in the name you used when registering for the programme. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Cambridge Judge Business School.

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Flexible payment options available. Learn more.