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Data Analytics Crash Course
Rating: 4.4 out of 5(22 ratings)
85 students

Data Analytics Crash Course

Crash course to quickly give you the basics of data analytics
Created byAdrian Resag, QIAL, CMIIA, CIA, CRMA, CFSA, GRCP, IAAP, CIMA Adv Dip MA
Last updated 11/2022
English

What you'll learn

  • Learn how to cope with the challenges of big data and how to benefit from its opportunities.
  • Know what governance should be in place over data and information security.
  • Know about the different uses for data analytics, including descriptive, diagnostic, predictive and prescriptive uses of data analytics.
  • Be able to employ the data analytics process.
  • Know how to choose between statistical and non-statistical sampling methods for analyzing data.
  • Learn about statistical methods to analyze data.
  • Know about analytical tests, continuous auditing and embedded audit modules.

Course content

4 sections • 22 lectures • 1h 45m total length

  • Definition of Data Analytics2:13
  • Data and Information Security Governance2:16

    Define governance and data governance, highlighting processes, roles, policies, standards, metrics that ensure efficient use of information to meet objectives; relate to information security governance directing and controlling information security.

  • Challenges of Data Analytics and Big Data6:38

    In the data analytics crash course, explore the v's of data analytics—volume, velocity, variety, variability, veracity, and visualization—and how these challenges shape value in big data.

  • Question on Challenges of Data Analytics and Big Data 10:35
  • Question on Challenges of Data Analytics and Big Data 23:29

    Examine how the variety and growth of devices and data sources complicate internal cybersecurity audits, including bring-your-own-device scenarios, printers, and third-party access.

Requirements

  • No prior experience or knowledge is required.

Description

We are glad to bring you the Data Analytics Crash Course.

This course is ideal for:

  1. Those who want to know more about how to use data analytics, including those working as data analysts, in internal control, IT, performance management and improvement or anyone who wants to gain insight from data; 

  2. Auditors or others performing assessments who wish to use data analytics in their work.

The course will give you the knowledge and tools necessary to perform basic data analytics. Learn how data analytics can be used to describe and diagnose data, how it can be used to predict future data and how it can lead to prescriptions. Know about the challenges (and opportunities) of Big Data. Be able to use sampling and statistical methods and analytical tests to get value out of data.

It is taught by Adrian Resag, who has used, and managed teams using, data analytics to get value from data in many large organizations.


The course covers:

Data Analytics and the Challenges of Big Data

  • Learn how to cope with the challenges of big data and how to benefit from its opportunities.

  • Know what governance should be in place over data and information security.

Using Data Analytics

  • Know about the different uses for data analytics, including descriptive, diagnostic, predictive and prescriptive uses of data analytics.

  • Be able to employ the data analytics process.

Sampling and Statistical Methods

  • Know how to choose between statistical and non-statistical sampling methods for analyzing data.

  • Learn about statistical methods to analyze data.

Analytical Tests and Continuous Auditing

  • Know about analytical tests, continuous auditing and embedded audit modules.

Who this course is for:

  • Those who want to know more about how to use data analytics, including those working as data analysts, in internal control, IT, performance management and improvement or anyone who wants to gain insight from data.
  • Auditors or others performing assessments who wish to use data analytics in their work.

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