CompTIA

CompTIA Data+ Study Guide: Exam DA0-001

Get ahead with our CompTIA Data+ Study Guide: Exam DA0-001 online course, and gain the skills you need to excel in data analytics and career advancement.

(DA0-001.AE1) / ISBN : 978-1-64459-349-3
This course includes
Interactive Lessons
Gamified TestPrep
Hands-On Labs
AI Tutor (Add-on)
8 Reviews
Get A Free Trial

About This Course

This CompTIA Data+ Study Guide: Exam DA0-001 online course will help you develop essential data analytics skills for presenting information to stakeholders & decision-makers. Through engaging lessons and practical tests, you will learn how to collect, analyze, and interpret data effectively. Our course covers all exam objectives, ensuring you are well-prepared to pass the CompTIA Data+ certification exam and advance your career in data analysis. 

Skills You’ll Get

  • Proficiency in collecting, analyzing, and interpreting various types of data.
  • Understanding and applying data governance and quality management principles.
  • Mastery of statistical analysis techniques, including descriptive and inferential statistics.
  • Competence in using data analytics tools such as spreadsheets, programming languages, and machine learning software.
  • Ability to design and develop effective data visualizations, reports, and dashboards.
  • Knowledge of database management and data acquisition methods.

Download Course Outline

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

Any questions?
Check out the FAQs

Still have unanswered questions and need to get in touch?

Contact Us Now

The CompTIA Data+ exam consists of a maximum of 90 questions.

The CompTIA Data+ certification has no formal prerequisites. However, it is recommended that candidates have experience of 18-24 months in a report/business analyst job role.

The CompTIA Data+ certification holds weight for 3 years following your successful exam attempt.

The time it takes to study for the CompTIA Data+ exam varies depending on your background and experience, but most people spend around 2 to 3 months preparing for the exam with consistent study.

The CompTIA Data+ exam costs 253 USD.

Yes, the CompTIA Data+ certification is worth it for individuals looking to validate their data analytics skills and enhance their career opportunities in the growing field of data analysis.

The CompTIA Data+ certification can benefit your career by validating your data analytics skills, increasing your job prospects, and potentially leading to higher-paying positions in data analysis and related fields.

The exam consists of multiple-choice questions, drag-and-drop activities, and performance-based questions.

The salary for individuals with CompTIA Data+ certification can vary based on factors such as location, experience, and job role. On average, professionals with data analytics skills and certifications like CompTIA Data+ can expect to earn between $60,000 and $80,000 annually. In higher-demand areas or more advanced positions, salaries can exceed $100,000.

  Better Analysis, Better Data, Better Opportunities

Take our CompTIA Data+: DAO-001 certification guide to mine data more carefully and drive effective data-driven decisions. 

$ 432.53

Buy Now

Related Courses

All Course
scroll to top