Back to Search

Application of Data Analysis Fundamentals Certificate

CPE

CPE Credits
15-Other

Details

 Pricing

PICPA Member: $599 | Nonmember: $749


 More Information

Course No.
188320
Level
Intermediate

Description

Understand the concepts and definitions of data analytics and fundamental statistical analysis techniques to glean useful information from data. Learn the variables that make up a data set and perform meaningful calculations: central tendency, variability, probability, and distribution. Delve into recognizing these qualities and how to use them in practical business situations. Practice with useful concepts such as quartiles, variance, and standard deviation.

Highlights

  • The nature and types of variables in data sets and how to use them
  • Fundamental statistical concepts for working with data
  • Characteristics of data that can be used for conducting analysis
  • Basic calculations for analyzing and discovering useful insights from data sets
  • How to understand and calculate probability from a data set
  • Different types of distribution and how they can be used
  • Guided exposure to the open-source R platform and its analytics capabilities
  • Case study exploring how statistical analysis can be used in a common fraud-detection scenario

You May Also Like

Data Analytics Modeling Certificate
Self-Study
Define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Learn data profiling and data cleansing techniques to maintain ...
Robotic Process Automation Strategy for Business Leaders Certificate
Self-Study
Learn how robotic process automation (RPA) is transforming businesses and providing a significant competitive advantage. Hear key considerations to build an RPA strategy, including how to address the cultural shift ...
Data Analysis Fundamentals Certificate
Self-Study
Understand the need for transformational assets within an organization and the importance of intelligent data management and corresponding analytics practice. Learn the roles involved in the analytics practice and the ...