Who should attend
Business managers across different functions who drive or intend to drive analytics projects at their organisation.
About the course
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.
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.
University Lecturer in Operations Management PhD (Georgia Institute of Technology), BEng (National Technical University of Athens) Research interests Project management and new product development processes with an emphasis on information aggregation in group decision making; technology and R&...
University Lecturer in Big Data Analytics & Quantitative Social Science Deputy Director of the Psychometrics Centre BSc, MSc, PhD (University of Nottingham) Research interests Psychometrics; psychology; decision-making; social networks. Subject group: Operations & Technology Managemen...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.