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Application of Data Analysis Essentials Certificate

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*CAW Network USA member discounts applicable at checkout

Note: It is recommended that you complete the Data Analysis Fundamentals Certificate or ensure you have equivalent knowledge before starting this certificate course.

This course is part of the Data Analytics Certificates Bundle

a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.

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The Application of Data Analysis Essentials Certificate offers hands-on experience regarding how to analyze data and calculate fundamental aspects of your data sets. This certificate program provides the core concepts and definitions of data analytics, which explain the anatomy of data as a medium, and provides fundamental statistical analysis techniques for beginning to glean useful information from data.  First, you will learn the different types of variables that make up a data set and perform meaningful calculations on data to discover and explore relationships that yield insights: central tendency, variability, probability, and distribution. Then we will delve into recognizing these qualities in their different forms and how to utilize them in practical business situations. This program offers straightforward exercises to help you practice and immediately apply what you’ve learned. You will also get exposure to and practice with useful concepts such as quartiles, variance, and standard deviation.  Finally, you will be introduced to one of the most powerful tools available for analyzing data: the open-source “R” platform. You will be guided through an actual use case for analyzing data using R and complete your learning by seeing how the statistical concepts you’ve just learned can be applied in a real-world example. By completing this certificate, you will have a solid grasp of core statistical techniques underpinning an analytics practice and hands-on practice using them.

CPE Credit: 14

Course Content

Module 1: Types of Variables
Module 2: Central Tendency of Data
Module 3: Measurement and Variability
Module 4: Basic Probability
Module 5: Probability and Ven Diagramming
Module 6: Calculating Probability
Module 7: Distributions
Module 8: Continuous Distributions
Module 9: Statistics in R Case Study
Module 10: Distributions in R Case Study
Module 11: Fraud Detection Case Study
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