EXECUTIVE EDUCATION

Business Analytics: Decision Making Using Data

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Course Dates

STARTS ON

30 June 2021

Course Duration

DURATION

3 months, online
4-6 hours per week

Course Duration

PROGRAMME FEE

US$2,000

Course Information Flexible payment available

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. It provides business managers with the techniques needed to transform their organisation into a data-driven organisation. The assignments and cases in the programme focus on interpreting the results of analysis and taking decisions based on those analysis. 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 the 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 and 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 how to apply neural networks and how neural network makes predictions while exploring how to choose the network architecture.

Module 7:

Prescriptive Analytics I

Understand what prescriptive analytics is and 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 process and debiasing.

Module 9:

Ethics/Legal and Organisational Issues

Identify organisational issues that you will need to consider when making decisions; identify 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 how to apply neural networks and how neural network makes predictions while exploring how to choose the network architecture.

Module 2:

Descriptive Analytics

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

Module 7:

Prescriptive Analytics I

Understand what prescriptive analytics is and 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 process and debiasing.

Module 4:

Experimentation

Understand the gold standard for making experimentation work and 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; identify 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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Programme Highlights

Decorative image relating to Decision Biases

Decision Biases

Identify the types of biases in a decision making process and learn how to ask for the right information

Decorative image relating to Descriptive Analytics

Descriptive Analytics

Be able to collect, clean, and describe the data you have, including the summary statistics

Decorative image relating to Big Data Opportunities

Big Data Opportunities

Identify what big data means to you and what you can do with it

Decorative image relating to Experimentation

Experimentation

Design experiments to gather meaningful data to make data driven decisions

Decorative image relating to Predictive Analytics

Predictive Analytics

Use machine learning tools/models, identify neural networks, and analyse data to optimize decisions for your business

Decorative image relating to Organisational, Ethical and Legal Issues

Organisational, Ethical and Legal Issues

Understand the ethics and regulatory issues involved in making decisions using data

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 Netflix used a competition to improve their search and recommendation algorithms

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

Art

How do 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 LondonTime 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 do they decide which 2 of the 4 promising drugs can be developed further?

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

UPS

How their ORION inititiative allowed UPS to save an estimated $300-$400 million and led to a reduction of 100 million miles driven?

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

Google Oxygen

How Google used 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, PhD (Georgia Institute of Technology), BEng (National Technical University of Athens)

Dr Oraiopoulos earned his PhD from 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

University Lecturer in Big Data Analytics & Quantitative Social Science, Academic Director of the Psychometrics Centre, BSc, MSc, PhD (University of Nottingham)

Dr David studies the links between big data and psychology; his research with 6 million social media users found that the computer can predict a user’s personality as accurately as their spouse can. Follow up research found that personalizing an advert to the recipient’s... More info

Certificate

Example image of certificate that will be awarded once you successfully complete the course

Certificate

Upon successful completion of the programme, participants will be awarded a digital certificate of completion by 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" 2-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 executive.education@jbs.cam.ac.uk

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