Certificate in Data Analytics (CertDA)

ACCA Approved

Certificate in Data Analytics (CertDA)

Introduction

More than ever, business leaders need to be sure that the decisions they make are rooted in a deep understanding of the latest issues and trends. As organisations become ever more customer centric, it’s important that finance teams, as guardians of organisational data, are leveraging data analytics to provide the forward-looking insights required to support decision-making.

The ACCA Certificate in Data Analytics (CertDA) is aimed at business professionals who wish to develop their understanding of data, and the skills and techniques available for data analytics. Using real practical business examples, learners are able to develop an understanding of how data analytics and data modelling can be used to garner business insights.

Learners will learn about big data, the various sources of data, types of analytics, and become familiar with the range of tools and techniques required to extract, manipulate, interpret and present data. They’ll also learn about the need to be both sceptical and ethical when working in the data analytics field.

Many of the data tools introduced in the certificate are widely and freely available, such as spreadsheet or database software. Learners will also be introduced to popular statistical and programming tools such as SQL, R and Python, as well as an introduction to artificial intelligence and machine learning.

Who is it for?

The course is intended to introduce you to and provoke your interest in techniques and tools to identify and address business issues which can be faced in any role you may undertake.

The course is intended for those with a basic knowledge of numeracy and possibly statistics, particularly those employed in, or aspiring to work in, a wide range of accounting and finance related roles.

The course would also be of interest to those working in other business functions such as general administration, sales and marketing, procurement or production/engineering.

If you already have a professional accountancy qualification, this qualification can be a valuable source of CPD, offering an opportunity to top up existing competencies with specific knowledge and skills around Data Analytics.

If you do not hold a professional accountancy qualification, it offers you the opportunity to gain formal recognition of your capabilities.

Course Unit	Learning Topic
1: The CRISP framework for data analytics	a) Business understanding b) Data understanding c) Data preparation d) Data modelling e) Data evaluation f) Deployment
2: Big data and data analytics	a) What is big data? b) The 3 Vs of big data c) The value and lessons to be learned from big data
3: Sources of data	a) Interal b) External
4: Types of analytics	a) Descriptive analytics b) Predictive analytics c) Prescriptive analytics
5: Data analytics methodologies	a) Robotics b) Artificial intelligence c) Machine learning
6: Mainstream tools and key applications of data analytics	a) Tool and applications for descriptive analytics b) Tools and applications for predictive analytics c) Tools and applications for prescriptive analytics
7: Data visualisation and communicatio	a) What is data visualisation? b) The purpose of data visualisation c) The benefits of data visualisation d) The history of data visualisation e) Types of visualisation - comparison f) Types of visualisation - composition g) Types of visualisation - relationship h) What makes good visualisation?
8: Scepticism in data analytics
9: Ethical considerations in the use of data
10: End of units data analysis activity

Key details

Key details
Course duration	4 hours (estimated)
Access period	6 months
CPD units	4
Entry level	No prior experience required

ACCA Professional Fees

Key details
ACCA Members	65 GBP
Non-ACCA members	90 GBP
Multiple users discount	Price available on application