Data Analytics Crash Course

Crash course to quickly give you the basics of data analytics

Ratings: 4.44 / 5.00




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.

What You Will 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.

Who Should Attend!

  • 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.