CompTIA

Data Analytics

(SNHU-IT476.AE1)
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1

Introduction

  • The Data+ Exam
  • What Does This Course Cover?
  • Exam DA0-001 Exam Objectives
  • DA0-001 Certification Exam Objective Map
2

Today's Data Analyst

  • Welcome to the World of Analytics
  • Careers in Analytics
  • The Analytics Process
  • Analytics Techniques
  • Data Governance
  • Analytics Tools
  • Summary
3

Understanding Data

  • Exploring Data Types
  • Common Data Structures
  • Common File Formats
  • Summary
  • Exam Essentials
4

Databases and Data Acquisition

  • Exploring Databases
  • Database Use Cases
  • Data Acquisition Concepts
  • Working with Data
  • Summary
  • Exam Essentials
5

Data Quality

  • Data Quality Challenges
  • Data Manipulation Techniques
  • Managing Data Quality
  • Summary
  • Exam Essentials
6

Data Analysis and Statistics

  • Fundamentals of Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Analysis Techniques
  • Summary
  • Exam Essentials
7

Data Analytics Tools

  • Spreadsheets
  • Programming Languages
  • Statistics Packages
  • Machine Learning
  • Analytics Suites
  • Summary
  • Exam Essentials
8

Data Visualization with Reports and Dashboards

  • Understanding Business Requirements
  • Understanding Report Design Elements
  • Understanding Dashboard Development Methods
  • Exploring Visualization Types
  • Comparing Report  Types
  • Summary
  • Exam Essentials
9

Data Governance

  • Data Governance Concepts
  • Understanding Master Data Management
  • Summary
  • Exam Essentials

1

Today's Data Analyst

  • Understanding Data Analytics Techniques
2

Understanding Data

  • Understanding Data Types
  • Identifying Categories of Data
  • Understanding Common Data Structures
3

Databases and Data Acquisition

  • Creating a Data Model through ERD
  • Normalizing Data from 2NF to 3NF
  • Normalizing Data from 1NF to 2NF
  • Normalizing Unnormalized Data to 1NF
  • Sorting Data
  • Removing Unnecessary Data
  • Updating Existing Data
  • Retrieving Specific Data
4

Data Quality

  • Eliminating Redundant Data
  • Concatenating Data
  • Understanding Data Quality
5

Data Analysis and Statistics

  • Performing Data Analysis
  • Understanding Descriptive Statistics
6

Data Analytics Tools

  • Saving Data in Excel
  • Representing Data
  • Analyzing Data Using Python
  • Identifying SQL Commands in Data Analytics
7

Data Visualization with Reports and Dashboards

  • Visualizing Data Using a Line Chart
  • Visualizing Data Using a Histogram
  • Visualizing Data Using a Bar Chart
8

Data Governance

  • Understanding Laws in Data Governance

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