CompTIA

CompTIA Data+ Study Guide

(DATA-002.AE1)
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1

Introduction

2

Preface

  • The Data+ Exam
  • What Does This Course Cover?
  • Data+ DA0-002 Exam Objectives
  • DA0-002 Certification Exam Objective Map
3

 Today’s Data Analyst

  • Welcome to the World of Analytics
  • Careers in Analytics
  • The Analytics Process
  • Analytics Techniques
  • Robotic Process Automation
  • Data Governance
  • Analytics Tools
  • Summary
4

Data Analytics Tools

  • Spreadsheets
  • Programming Languages
  • Databases and SQL
  • Business Intelligence Software
  • Cloud Infrastructure
  • Summary
  • Exam Essentials
5

Understanding Data

  • Exploring Data Types
  • Common Data Structures
  • Common File Formats
  • Summary
  • Exam Essentials
6

Databases and Data Acquisition

  • Exploring Databases
  • Database Use Cases
  • Data Acquisition Concepts
  • Working with Data
  • Summary
  • Exam Essentials
7

Data Quality

  • Data Inconsistencies
  • Data Transformation Techniques
  • Managing Data Quality
  • Summary
  • Exam Essentials
8

Data Analysis and Statistics

  • Communication Approaches
  • Fundamentals of Statistics
  • Statistical Functions and Measures
  • Troubleshooting
  • Analysis Techniques
  • Summary
  • Exam Essentials
9

Data Visualization with Reports and Dashboards

  • Exploring Visualization Elements
  • Understanding Business Requirements
  • Understanding Design Elements
  • Understanding Dashboard Development Methods
  • Delivery Considerations
  • Report Validation Techniques
  • Summary
  • Exam Essentials
10

 Data Governance

  • Data Management Concepts
  • Data Compliance Concepts
  • Data Privacy and Protection
  • Data Quality Assurance Practices
  • Summary
  • Exam Essentials

1

 Today’s Data Analyst

2

Data Analytics Tools

  • Performing Basic Data Analysis in Microsoft Excel
  • Managing and Analyzing Structured Data in MySQL Workbench
  • Designing and Optimizing Database Tables Using MySQL Workbench
3

Understanding Data

  • Exploring Data Types in Microsoft Excel
4

Databases and Data Acquisition

  • Creating and Analyzing a Relational Database in MySQL Workbench
  • Filtering and Sorting Analytical Data Using SQL
  • Analyzing and Summarizing Data Using Aggregations, Grouping, and Subqueries in SQL
  • Integrating and Analyzing Data Across Tables Using SQL JOINs
5

Data Quality

  • Detecting Data Quality Issues Using SQL
6

Data Analysis and Statistics

7

Data Visualization with Reports and Dashboards

  • Analyzing Business Trends and Category Performance Using Power BI Visualizations
  • Analyzing Relationships and Distributions Using Exploratory Data Visualization
  • Analyzing Regional Sales Performance Using Geographic and Hierarchical Visualizations in Power BI
8

 Data Governance

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CompTIA Data+ Study Guide

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