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CompTIA Data+

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إدارة البيانات
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Course Description

The CompTIA Data+ course provides essential training in data management and analytics, focusing on data mining, visualization, data governance, and quality control. This course is designed for IT professionals and business analysts who want to develop their skills in data analysis and decision-making. It prepares learners for the CompTIA Data+ certification exam, validating their ability to collect, analyze, and report on data to support organizational goals. Ideal for those looking to enter or advance in the field of data analytics, this course equips participants with the knowledge to handle data-driven business challenges effectively.

Course Outline

Identify the Key Differences between Relational and Non-Relational Databases
Identify the Way We Use Tables, Primary Keys, and Normalization
Describe Types of Data Processing and Storage Systems
Explain How Data Changes
Understand Types of Data
Break Down the Field Data Types
Differentiate between Structured Data and Unstructured Data
Recognize Different File Formats
Understand the Different Code Languages Used for Data
Make Data Usable for Data Analysis and Reporting
Explain API/Web Scraping and Other Collection Methods
Collect and Use Public Data
Use and Collect Survey Data
Learn to Profile Data
Address Redundant and Duplicated Data
Work with Missing Values
Address Invalid Data
Address Mismatched Data and Data Type Validation
Recode Data and Derived Variables
Transpose and Append Data
Query Data
Use Functions to Manipulate Data
Use Common Techniques for Query Optimization
Use Measures of Central Tendency
Use Measures of Variability
Use Frequencies and Percentages
Get Started with Analysis
Recognize Types of Analysis
Understand the Importance of Statistical Tests
Break Down the Hypothesis Test
Understand Tests and Methods to Determine Significance
Use Basic Visuals
Build Advanced Visuals
Build Maps with Geographical Data
Use Visuals to Tell a Story
Develop Business Requirements for Reporting
Data Source Considerations
Delivery considerations
Prepare Reports or Dashboards
Understand ways to filter data
Design Elements for Reports/Dashboards
Utilize Standard Elements
Creating a Narrative and Other Written Elements
Understand Deployment Considerations
Differentiate between Static and Dynamic Report Types
Determine the Uses for Ad-Hoc and Self-Service Reporting
Define Data Governance
Understanding Agreements and Policies
Understand Security Requirements
Understand Entity Relationship Requirements
Understand Entity Relationship Requirements
Understanding data quality, rules and metrics
Understanding Master Data Management
Describe Master data Management Processes

Course Schedule