20SI-C006: Application of Data Analysis Essentials (Certificate Program)
Valid for one year from purchase date
Self-study - On-Demand
15 CPE (15 technical)
If the organization paying
for the purchase is exempt from sales tax, call us at 952-831-2707 to complete your purchase.
Add to cart
This certificate program offers hands-on experience with how to analyze data and calculate fundamental aspects of your data sets. Explore the core concepts of data analytics and learn fundamental statistical analysis techniques that will help you glean more useful information from your data. Learn about the different types of variables that make up a data set and find out how to perform meaningful calculations, which allow you to explore relationships that yield insights (e.g., central tendency, variability, probability and distribution.) Learn to recognize these qualities in their different forms and use them in practical business situations. Get practice with straightforward exercises to help you immediately apply what you've learned.
You will also get exposure to (and practice with) concepts such as quartiles, variance and standard deviation. Examine one of the most powerful tools available for analyzing data: the open source "R" platform. You'll be guided through an actual use case for analyzing data using R, and you'll complete your learning by seeing how to apply the statistical concepts to a real-world example. Come away with a solid grasp of the core statistical techniques underpinning an analytics practice and hands on experience using them.
Major subjects
-
The nature and types of different 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
-
Practical case study exploring how statistical analysis can be used in a common fraud detection scenario
-
Examples and practice exercises throughout the program to reinforce what you learn
-
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
-
A practical case study exploring how statistical analysis can be used in a common fraud-detection scenario
-
Examples and practice exercises throughout the program to reinforce what you learn
Learning objective(s)
-
Determine and classify variables
-
Calculate meaningful statistics, including central tendency, measurement and variability, basic probability, conditional probability, advanced probabilities, discrete distributions and continuous distributions
-
Analyze statistics and distributions in R case study
-
Analyze a fraud detection case study
-
Analyze fraud-detection case study
Who should take this program?
Finance professionals, CFOs, controllers, management accountants, public accountants, partners, staff, managers and internal auditors
Fees
Our records indicate
you are a
nonmember.
If you register, you will be charged
$749.00
(Standard Nonmember Fee).
Members: Please
log in
to receive member fee.
Standard Member Fee |
$599.00
|
Standard Nonmember Fee |
$749.00
|