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Data Analytics Community Learning

As a member of the Data Analytics Community, you have access to eLearning courses provided by Coursera, DataCamp and Udemy and CPD courses from the ICAEW Academy of Professional Development. There is also an eLearning module from ICAEW's Finance in a Digital World and advanced Excel courses from the Excel Community as well as all the learning resources in each of the topics pages

Courses from Coursera, DataCamp and Udemy

Data driven decision-making

Data science in real life

How does one manage a team facing real data analysis? In this one-week course, we contrast the ideal with what happens in real life. In this way, you will learn key concepts that will help you manage real-life analysis.

Data science for business leaders

Learn about data science and how you can use it to strengthen your organisation. This course will teach you about the skills you need on your data team, and how you can structure that team to meet your organisation's needs. It will also provide you with an understanding of data sources your company can use and how to store that data.

Crash course in data science

This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science. We've designed this course to be as convenient as possible without sacrificing any of the essentials.

Data preparation

Getting and cleaning data

This course will cover the basic ways that data can be obtained: from the web, from APIs, from databases and from colleagues in various formats. It will look at the basics of data cleaning and how to make data tidy. The course will also cover the components of a complete data set, including raw data, processing instructions, codebooks and processed data, and the basics needed for collecting, cleaning and sharing data.

Importing data in Python (Part 1)

In this course, you will learn the many ways to import data into Python: from flat files such as .txt and .csv; files native to other software such as Excel spreadsheets, Stata, SAS and MATLAB files; and from relational databases such as SQLite and PostgreSQL.

Data modelling

Exploratory data analysis

This course covers the essential exploratory techniques for summarising data. These techniques are typically applied before formal modelling starts and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data.

Modelling tools

Statistics with R specialisation

Master statistics with R. Statistical mastery of data analysis including inference, modelling and Bayesian approaches.

Learn: Python

Acquire new skills fast in courses that combine short expert videos with immediate hands-on-keyboard exercises. A collection of courses using Python, from an introduction, to modules and data importing, data cleaning, and data visualisation all using Python.

Data Science A-Z™

This course will give you a full overview of the data science journey. Upon completion, you will know: how to clean and prepare your data for analysis; how to perform basic visualisation of your data; how to model your data; how to curve-fit your data; and how to present your findings.

Data visualisation

Communicating business analytics results

In this course, you will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualisation. You will also learn how to develop and deliver data analytics stories that provide context, insight and interpretation.

Data visualisation

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery.

Data visualisation and communication with Tableau

In this course you will learn how to become a master at communicating business-relevant implications of data analysis. By the end, you will know how to structure your data analysis projects to ensure they yield results for your stakeholders. You will also know how to streamline your analysis and highlight implications efficiently using visualisations in Tableau.

Further courses

Further courses on data analytics can be found on the sites of these suppliers:

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ICAEW courses

Courses from the ICAEW Academy of Professional Development

The ICAEW Academy of Professional Development provides a suite of courses on data analytics topics

Introduction to statistical data analysis and trend forecasting | Various dates

This one-day course from ICAEW introduces delegates to statistics and analysis and takes them through the six key concepts that underlie all statistical thinking and analysis: probability, risk, distribution, expectation, variance and correlation. The course shows delegates how to apply these concepts using Microsoft Excel.

Intermediate trend forecasting and analysis | Various dates

This one-day course introduces delegates to statistical forecasting. It is designed for anyone involved in business planning and performance analysis. The course uses a mixture of stimulating discussions and real-life case studies. Each concept will be carefully explained, its relevance to forecasting highlighted and show how the relevant calculations can be done in Excel.

Data visualisation | Various dates

The objective of this one-day training class is to enable you to use your data to communicate a story and insights to an audience, through a mix of data visualisation and storytelling. The class is focused on best practices based on scientific evidence and current theory, and has the business-oriented audience in mind.

Academy eLearning modules

Data planning

Get to grips with fundamentals of data planning with this eLearning resource from ICAEW's Academy of Professional Development. Learn how to: better plan and more efficiently analyse your data, as well as apply the three principles of good spreadsheet design to your work

An introduction to finance business partnering

Learn the key skills at the heart of being an effective finance business partner by completing this eLearning resource from ICAEW's Academy of Professional Development. The module outlines: what finance business partnering means; how finance partners generate influence; and how to start building your influence with ICAEW's top 10 tips.

Translating data into insight

This eLearning resource from ICAEW's Academy of Professional Development outlines the difference between data, information and insight, explains why it is important to deal in insight and demonstrates how to translate data into insights using a simple process.

Finance in a Digital World: Analytics and visualisation

Finance in a Digital World

FDW has an eLearning module entitled Analytics and visualisation for finance

Excel community

Excel Community

There are now eight different suites of Excel online training available to Excel Community members as part of their membership subscription – this is a major benefit of Community membership.