EXECUTIVE EDUCATION

Imperial Business Analytics: From Data to Decisions

Learn the fundamentals of Python & progress to concepts of descriptive, predictive & prescriptive analytics that will help you drive business decisions.

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Course Dates

STARTS ON

19 May 2021

Course Duration

DURATION

4 months, online
4-6 hours per week

Course Duration

Why enrol for the Business Analytics programme?

Imperial Business Analytics: From Data to Decisions is an online programme brought to you by Executive Education at Imperial College Business School. This immersive and interactive programme will:

  • Take you through the fundamentals of the programming language Python to help you expand your understanding of business analytics.
  • It will teach you how to use descriptive, predictive and prescriptive analytics to identify, analyse and solve critical business problems.
  • It will help you understand and explore fundamental methods, frameworks and techniques of business analytics to make sense of your data and use it to make informed business decisions.

You will draw on expertise from Imperial College Business School faculty, industry experts, case studies and your peers. You will also explore the practical applications of the analytical frameworks you are learning.

There is no prior programming knowledge required.

Who is this programme for?

This international programme is designed for experienced professionals, including:

  • Technical managers implementing analytics in their function or organisation.
  • Professionals seeking to enter into the field of analytics & data science.
  • Mid-to-senior functional managers looking to improve their decision making using data.
  • Consultants aiming to develop their knowledge of business analytics.

The programme’s content and lessons are applicable across industries, including: banking and financial services, IT, healthcare, consulting, advertising, education, fast moving consumer goods, retail, and telecommunications.

Drive business decisions with

Decorative image relating to Descriptive Analytics, Predictive Analytics and Prescriptive Analytics.

Modules

Module 1:

Maths and Statistics Primer

Learn the basics of statistics and probability, including theory and models, Bayes’ rule, conditional probability, probability distribution, binomial distribution, central limit theorem, and manipulating normal variables.

Module 2:

Python Primer

Gain an overview of operating systems; use variables in Python; create and manage lists; understand tuples and dictionaries in Python; delve into Boolean and conditional variables; expand your knowledge of functions, and work on code manipulation.

Module 3:

Descriptive Analytics

Evaluate data for business decisions; estimate statistics of a data set and maximum likelihood; learn detection and quantification of correlation; understand outliers and linear regression, and discover how these concepts are used in real-life applications.

Module 4:

Predictive Analytics

Dive into machine learning; understand supervised learning; compare forecasting vs. inference; use nearest neighbors for classification; predict outcomes using regression trees; classify data using support vector machines; measure the similarity of data clusters, and predict outcomes for different clusters.

Module 5:

Prescriptive Analytics

Build your knowledge of linear programming by tackling problems of optimisation, production planning, and capital budgeting; identify constraints and the optimal solution; model business problems as linear programmes; learn tricks of the trade.

Module 1:

Maths and Statistics Primer

Learn the basics of statistics and probability, including theory and models, Bayes’ rule, conditional probability, probability distribution, binomial distribution, central limit theorem, and manipulating normal variables.

Module 4:

Predictive Analytics

Dive into machine learning; understand supervised learning; compare forecasting vs. inference; use nearest neighbors for classification; predict outcomes using regression trees; classify data using support vector machines; measure the similarity of data clusters, and predict outcomes for different clusters.

Module 2:

Python Primer

Gain an overview of operating systems; use variables in Python; create and manage lists; understand tuples and dictionaries in Python; delve into Boolean and conditional variables; expand your knowledge of functions, and work on code manipulation.

Module 5:

Prescriptive Analytics

Build your knowledge of linear programming by tackling problems of optimisation, production planning, and capital budgeting; identify constraints and the optimal solution; model business problems as linear programmes; learn tricks of the trade.

Module 3:

Descriptive Analytics

Evaluate data for business decisions; estimate statistics of a data set and maximum likelihood; learn detection and quantification of correlation; understand outliers and linear regression, and discover how these concepts are used in real-life applications.

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Case studies

The case studies and industry examples featured throughout the programme provide a wide-ranging look at how companies, organisations, and governments are applying analytics techniques to solve business problems.

Netflix Using nearest neighbour methods in recommendation engines for TV shows and movies.

Netflix

Using nearest neighbour methods in recommendation engines for TV shows and movies.

Union Airways Using discrete optimisation models for employee scheduling.

Union Airways

Using discrete optimisation models for employee scheduling.

Pandora Using nearest neighbour methods in recommendation engines for music.

Pandora

Using nearest neighbour methods in recommendation engines for music.

Kearns & Associates Using discrete optimisation models in construction.

Kearns & Associates

Using discrete optimisation models in construction.

New Bedford Steel Company Using optimisation models to lower transportation costs in coal acquisition.

New Bedford Steel Company

Using optimisation models to lower transportation costs in coal acquisition.

Security Industry Using nearest neighbour methods to improve facial recognition in the security industry.

Security Industry

Using nearest neighbour methods to improve facial recognition in the security industry.

American Red Cross Optimising blood processing to decrease cost per donation.

American Red Cross

Optimising blood processing to decrease cost per donation.

Memorial Sloan-Kettering Cancer Center Using optimisation models to improve treatment of prostate cancer.

Memorial Sloan-Kettering Cancer Center

Using optimisation models to improve treatment of prostate cancer.

Hewlett Packard Using an optimisation-based solution to improve the variety of product offerings.

Hewlett Packard

Using an optimisation-based solution to improve the variety of product offerings.

The Netherlands Using optimisation techniques to develop new flood protection standards.

The Netherlands

Using optimisation techniques to develop new flood protection standards.

Facebook Open-sourcing Torchnet to accelerate AI research.

Facebook

Open-sourcing Torchnet to accelerate AI research.

Microsoft Using and sharing a deep learning toolkit to increase advances in AI.

Microsoft

Using and sharing a deep learning toolkit to increase advances in AI.

Faculty

Faculty Member Dr Alex Ribeiro-Castro

Dr Alex Ribeiro-Castro

Data Scientist

Alex holds an advisory position linked to the Business Analytics MSc and is an occasional guest lecturer for Executive Education. He also works as a quantitative analyst for the financial industry. He was previously a Data Scientist and Senior Teaching Fellow... More info

Professor Wolfram Wiesemann

Professor of Analytics and Operations, Imperial College Business School

Wolfram Wiesemann is Professor of Analytics and Operations at Imperial College Business School, London, where he also serves as the Academic Director of the MSc Business Analytics programme as well as a Fellow of the KPMG Centre for Advanced Business Analytics... More info

Certificate

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

Certificate

Upon completion of the programme, participants will be awarded a verified Digital Certificate by Imperial College Business School Executive Education.

Please note that this programme contributes to earning Associate Alumni status. Visit the Associate Alumni page to find out more.

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