IT Specialist Data Analytics

irna Wed, 12/13/2023 - 08:12

2 Days

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In this course you will learn about knowledge of how to responsibly manipulate, analyze, and communicate findings of data analysis.

Key Outcomes:
After this course you will be able to know:

Data Visualization And Communication
the Difference Between Types Of Data Analysis, Data Aggregation And Interpretation Metrics, Exploratory Data Analysis Methods.
Data Manipulation such as Import, Store, And Export Data, Clean Data, Organize Data, Aggregate Data
etc

Data Basics
o The Concept Of Data
o Basic Data Variable Types
o Basic Structures Used In Data Analytics
o Data Categories
Data Manipulation
o Import, Store, And Export Data
o Clean Data
o Organize Data
o Aggregate Data
Data Analysis
o Difference Between Types Of Data Analysis
o Difference Between Data Aggregation And Interpretation Metrics
o Difference Between Exploratory Data Analysis Methods
o Evaluate And Explain The Results Of Data Analyses
o The Role Of Artificial Intelligence In Data Analysis
Data Visualization And Communication
o Report Data
o Create Visualizations From Data
o Conclusions From A Data Visualization
Responsible Analytics Practices
o Data Privacy Laws And Best Practices
o Best Practices For Responsible Data Handling
o Given A Scenario, Describe Types Of Bias That Affect Collection And Interpretation Of Data