Interactive, Self-Paced Course Series (7 CPE)
Learning to Audit Using Data
Learning to Audit Using Data is a self-paced, interactive guide to data analytics, tailored for auditors, made for beginners – using just Excel. Take a look:
- Who this course is for:
Beginners with no previous data analytics experience but with access to Excel.
- What you will learn:
Working through this 5-part course series at your own pace, you will be able to:
- Confidently explain how data analytics ‘really’ adds value to internal audit
- Identify what data you need to conduct common audit tests using data analytics
- Execute 3 simple analysis techniques and extract useful insights
- Communicate the results from data analytics to your clients
- Identify the best opportunities to apply data analytics yourself at work
- CAE’s: Do any of these statements apply to you?
- Have you tried to hire data staff with no success and are looking for a cost effective alternative?
- Are you looking for a low budget way to upskill your team in basic data analytics?
- Do you want to show your board how much value your team can provide by analyzing data?
Then you have found the right course for your team! Simply increase the quantity during checkout to reflect your team size, we’ll take care of everything else.
- Auditors: Do any of these statements apply to you?
- Have you heard of data analytics but need a simple step by step guide to help you decide if it is for you?
- Are you keen to learn data analytics but are confused by all the jargon and have little free time to learn?
- Do you want to ensure your skills stay ahead of the competition by learning these sought after skills?
Then you are definitely in the right place! Get started taking this course series today.
- What to expect?
The course series is split into 5 parts each tailored especially for beginners and based on audit examples. Expect:
- Interactive learning – no staring at the screen for hours, engage in the quizzes and follow along with the examples
- Self- paced learning – learn at a time and place suited to you. Easily pick up and continue where you stopped
- Takeaway resources – materials you can use to practice your learning in your own time
You can take a peek at each section to give you a flavor of what to expect.
- Explore the chapters:
In this installment you will learn:
- Data Analytics in plain English
- Data Analytics benefits and risks
- Data activity – select the best mortgage
This knowledge will enable the learner to:
- Gain an understanding of what data analytics is in simple terms.
- Develop the motivation to continue learning
Obtain early ‘hands on’ practice in analyzing some data
Topics covered:
- Data Literacy – How to challenge data
- Data Literacy – How to understand data
- Data Literacy – How Analyze data (explaining how to compare data, analyze trends and calculate average values – mean, median and mode)
- Data Literacy – How to communicate data with impact to clients
This knowledge will enable the learner to:
- Make sense of data in a range of scenarios
Demonstrate how to apply 3 different data analytics techniques using Excel during audits
In this installment, we will dive deep into the Data Analytics Process and introduce a step-by-step guide.
This knowledge will enable the learner to:
- understand the steps are required to execute data analytics as part of the audit process.
- Including identify the right data, cleansing data, analyze data, extract insights and communication to clients
- Accounts Payable
- Travel and Expenses
- More examples
This knowledge will enable the learner to:
- Observe how to execute the steps shown in the data analytics process including how to analyze the data, how to structure their thoughts and how to arrive at a conclusion from the results.
In this installment, we will cover how to move your learning to application at work. Plus build the motivation you need to continue learning long after the course is over.
This knowledge will enable the learner to:
- Building motivation and reiterate how sample testing misses risk
- How to select the right ‘data’ opportunity
- Managing key stakeholders
- Excel and beyond
- About Nicola Osinaike
Nicola Osinaike is a Certified Internal Auditor (CIA) and has 12 years internal audit experience mainly specializing in technology. She began her career as a mechanical engineer designing aircraft. Moved into IT Consultancy with Accenture before retraining as an internal auditor within the public sector.
Nicola’s varied career has enabled her to develop expertise in both analysing and interpreting data in a range of business scenarios. Nicola created the training firm Audit Data Hub in 2019 and partners with Auditopia to create interactive courses specifically designed to help beginners develop today’s ‘in high demand’ data analytics skills.
She has successfully merged her technical knowledge with her naturally fun and engaging delivery style to make ‘data analytics’ accessible to the many and not the few!
Course Expert
The Interactive Series Includes:
- Part 1: Data Analytics in Plain English
(1 CPE) - Part 2: Data Literacy
(2 CPE) - Part 3: The Data Analytics Process
(2 CPE) - Part 4: Walkthrough Excel Examples
(1 CPE) - Part 5: From Learning to Application
(1 CPE)