Business Analytics: From Data to Decisions
Build expertise in business analytics to turn data into decisions. Learn descriptive, predictive, and prescriptive techniques to solve problems and confidently communicate insights with technical teams.
Course key facts
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Date
25 Jun - 15 October 2026
Duration
16 weeks
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Credits
Non credit bearing
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Format
Online
Fee
£1,880
Overview
Learning journey
Module 1: Mathematics & Statistics Primer
Module 2: Python Primer
Module 3: Descriptive Analytics
Module 4: Predictive Analytics
Module 5: Prescriptive Analytics
Course details
This international programme is designed for experienced professionals, including:
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Mid-to-senior functional managers looking to improve their decision making and advance their career
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Technical managers implementing analytics who need to understand languages like Python to guide their teams
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Executives seeking a competitive edge in the market or wanting to scale their business or function
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Consultants aiming to develop their knowledge to build effective solutions for their clients
The programme is applicable across industries, including: advertising, banking and financial services, consulting, education, FMCG, healthcare, IT, retail and telecommunications.
No coding experience is required and you will take two primer modules to bring you up to speed in mathematics, statistics and Python.
By the end of the programme, you will be able to:
- Recognise patterns in data using clustering techniques
- Understand your data using descriptive analytic
- Draw insights and make predictions from data, using predictive machine learning techniques
- Assess the feasibility and practical implications of quantitative decisions, as well as their strengths and weaknesses
- Differentiate between optimal and sub-optimal solutions for real-world business problems
- Recommend solutions for real-world business problems using analytical techniques
- Identify problems which can be solved using data
- Detect and identify correlation between features of a dataset using classification and regression trees
- Evaluate the power and limitations of analytics in decision making
- Suggest problems and data sets that are optimally solved by support vector machines
Each programme includes an estimated learner effort per week, so you can gauge what will be required before you enrol. This programme is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Upon successful completion of the programme, you will receive a smart digital certificate. You can use it on your cover letter, resume and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the programme, once grading is complete.
Note: You will earn the Associate Alumni status upon successful completion of the programme. To find out more please visit Associate Alumni
Take your partnership with Imperial to the next level by becoming an Associate Alumnus. Complete one (1) of our on-campus, online, and virtual programmes to claim 'Associate Alumnus' status and join our active alumni community.
Some of the benefits of becoming an Associate Alumnus include:
- Access to the Imperial Alumni LinkedIn group
- Invites to relevant events and webinars
- 25% Discount on future learning for yourself and up to three your colleagues
If you are interested in finding out more, contact us today!
Your instructors
Contact us
Rachael van der Toorn
Project Manager (Online Executive Education Portfolio)