Data driven decision-making
DATA ANALYTICS COMMUNITY
Data science in real life
- 08 Oct 2019
- Coursera
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 ANALYTICS COMMUNITY
Data science for business leaders
- 17 Oct 2019
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.
DATA ANALYTICS COMMUNITY
Crash course in data science
- 08 Oct 2019
- Coursera
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
DATA ANALYTICS COMMUNITY
Getting and cleaning data
- 18 Oct 2019
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.
DATA ANALYTICS COMMUNITY
Importing data in Python (Part 1)
- 17 Oct 2019
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 ANALYTICS COMMUNITY
Practical data cleaning: 19 essential tips to scrub your dirty data
- 18 Oct 2019
Practical data cleaning is a thorough introduction to the basics of data cleaning. It is perfect for beginners and takes you through data collection, data cleaning, data classification and data integrity.
Data modelling
DATA ANALYTICS COMMUNITY
Exploratory data analysis
- 07 Oct 2019
- Coursera
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.
DATA ANALYTICS COMMUNITY
Business statistics and analysis specialisation
- 07 Oct 2019
- Coursera
Build data analysis and business modelling skills. Gain the ability to apply statistics and data analysis tools to various business applications.
DATA ANALYTICS COMMUNITY
Statistics for data science and business analytics
- 18 Oct 2019
Statistics you need in the office: descriptive and inferential statistics, hypothesis testing and regression analysis.
Modelling tools
DATA ANALYTICS COMMUNITY
Statistics with R specialisation
- 09 Oct 2019
- Coursera
Master statistics with R. Statistical mastery of data analysis including inference, modelling and Bayesian approaches.
DATA ANALYTICS COMMUNITY
Learn: Python
- 17 Oct 2019
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 ANALYTICS COMMUNITY
Data Science A-Z™
- 21 Oct 2019
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
DATA ANALYTICS COMMUNITY
Visualising COVID19
- 15 Apr 2020
Within months, COVID-19 went from an epidemic to a pandemic. From the first identified case in December 2019, how did the virus spread so fast and widely? In this free R project, you will visualise data from the early months of the coronavirus outbreak to see how this virus grew to be a global pandemic.
DATA ANALYTICS COMMUNITY
Communicating business analytics results
- 07 Oct 2019
- Coursera
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 ANALYTICS COMMUNITY
Data visualisation
- 07 Oct 2019
- Coursera
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 ANALYTICS COMMUNITY
Data visualisation and communication with Tableau
- 07 Oct 2019
- Coursera
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.
DATA ANALYTICS COMMUNITY
Information visualisation fundamentals
- 07 Oct 2019
- Coursera
The main goal of this specialisation is to provide the knowledge and practical skills necessary to develop a strong foundation on information visualisation and to design and develop advanced applications for visual data analysis.
Courses from the ICAEW Academy of Professional Development
The ICAEW Academy of Professional Development provides a suite of courses on data analytics topics.
EDUCATION AND TRAINING
Introduction to R | Various dates
- 17 Oct 2019
- Academy of Professional Development
This course is intended as an introduction to the R programming language for individuals working in the financial sector. Through the use of taught material and practical examples, which all have a financial twist, participants will build up the skills needed to perform data analysis using R.
EDUCATION AND TRAINING
Introduction to Python | Various dates
- 17 Oct 2019
- Academy of Professional Development
This course is intended as an introduction to the Python programming language for individuals working in the financial sector. Through the use of taught material and practical examples, which all have a financial twist, participants will build up the skills needed to perform data analysis using Python.
EDUCATION AND TRAINING
Advanced storytelling | Various dates
- 16 Aug 2019
- Academy of Professional development
Most influential business decisions are made through combining convincing data with an influential and persuasive background story. In this practical course you’ll learn how to transform your numbers into compelling narratives that inspire and motivate action.
EDUCATION AND TRAINING
Intermediate trend forecasting and analysis | Various dates
- 15 Oct 2019
- Academy of Professional Development
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.
Thought leadership
Our thought leadership is intended to change thinking and behaviour. We want to help our members do their jobs as best they can. Ultimately, this will enable a world of sustainable economies.
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