- If you’re based outside the UK please go to the Kaplan international website to purchase the programme.
- For general enquiries please call contact us.
- To purchase multiple licenses at preferential rates please email academy@icaew.com or call 0207 920 8409.
Module overview
Understanding business context
In this unit you’ll learn how to apply the process of data analytics to solve business questions, the practical steps involved in setting up an analytics project and the skills required, how to identify relevant data sources, and the principles of data architecture, data management, data quality and governance.
Data wrangling
In this unit you’ll learn how to recognise data types and structures, how to code in Python and use it to import, manage and merge data, and identify and resolve data quality errors.
Understanding and analysing data
In this unit you’ll learn how to analyse data at a high level, using summary statistics and basic data visualisations as part of your exploratory data analysis.
Data analysis and facilitating data driven decision making
In this unit you’ll learn how to apply more sophisticated data analytics techniques to support business decision making, such as time series forecast modelling using autoregression and average smoothing techniques, explain anomaly detection, and the ethics of using Artificial Intelligence and data analytics.
Presenting findings and recommendations
In this unit you’ll learn how to effectively communicate your analysis both in terms of accompanying narrative and visualisations, presenting findings and recommendations to decision makers, and how to prepare effective data visualisations.
Case study
You will assume the role of analyst for a company. You are tasked with identifying whether a target company meets the investment criteria for a private equity firm. You will apply the analytical skills learnt on the course to a data set and will be required to communicate effectively your findings to support decision making. Estimated learning time for the case study is 20 hours.
There is a case study only option available for those already proficient in data analytics.
DataCamp subscription included
A 12 month subscription to DataCamp’s 400+ online courses is included in the price of this pathway, giving you the opportunity to further your learning in Python, R, SQL, Tableau, Power BI, Excel, machine learning, data visualization and data manipulation.