CompTIA

CompTIA Data+

(DA0-001.AE1)/ISBN:978-1-64459-349-3

This course includes
Lessons
TestPrep
LiveLab
Mentoring (Add-on)
CompTIA Data+

uCertify’s CompTIA Data+ course and lab are designed to come in handy as a CompTIA Data+ study guide. uCertify's CompTIA Data+ is a complete learning path for you by including all the subject areas on which the DA0-001 exam is based and it contains performance labs to give you a complete understanding of data analysis and business intelligence reporting roles. The course enhances the latest knowledge and skills of data professionals

Here's what you will get

The CompTIA Data+ exam validates the ability of a candidate to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle. 

Lessons

9+ Lessons | 307+ Exercises | 150+ Quizzes | 191+ Flashcards | 91+ Glossary of terms

TestPrep

50+ Pre Assessment Questions | 2+ Full Length Tests | 90+ Post Assessment Questions | 180+ Practice Test Questions

Hand on lab

25+ LiveLab | 8+ Video tutorials | 10+ Minutes

Need guidance and support? Click here to check our Instructor Led Course.

Here's what you will learn

Download Course Outline

Lessons 1: Introduction

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

Lessons 2: Today's Data Analyst

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

Lessons 3: Understanding Data

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

Lessons 4: Databases and Data Acquisition

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

Lessons 5: Data Quality

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

Lessons 6: Data Analysis and Statistics

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

Lessons 7: Data Analytics Tools

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

Lessons 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

Lessons 9: Data Governance

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

Hands-on LAB Activities

Today's Data Analyst

  • Understanding Data Analytics Techniques

Understanding Data

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

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

Data Quality

  • Eliminating Redundant Data
  • Concatenating Data
  • Understanding Data Quality

Data Analysis and Statistics

  • Performing Data Analysis
  • Understanding Descriptive Statistics

Data Analytics Tools

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

Data Visualization with Reports and Dashboards

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

Data Governance

  • Understanding Laws in Data Governance

Exam FAQs

$239 USD

Pearson VUE

Multiple choice and performance-based

The exam contains 90 questions.

90 minutes

675

(on a scale of 100-900)

In the event that you fail your first (1st) attempt to pass any CompTIA certification examination, CompTIA does not require any waiting period between the first (1st) and second (2nd) attempt to pass such examination. However, before your third (3rd) attempt or any subsequent attempt to pass such examination, you shall be required to wait for a period of at least fourteen (14) calendar days from the date of your last attempt to pass such examination.

  • If a Candidate has passed an exam (or multiple exams) and achieved a certification, he/she cannot take the exam again, using the same exam code, without prior consent from CompTIA. For example:
    • If a candidate has passed multiple exams to achieve a certification (e.g. CompTIA A+ 220-701 & 220-702) he/she will need to wait until a new series (e.g. 220-801 & 220-802) becomes available before attempting to recertify.
    • If a candidate has passed an exam (e.g. CompTIA Network+ N10-005) he/she will need to wait until a new series (e.g. N10-006) becomes available before attempting to recertify.
  • CompTIA beta examinations may only be taken one (1) time by each candidate.
  • A test found to be in violation of the retake policy will be invalidated and the candidate may be subject to a suspension period. Repeat violators will be permanently banned from participation in the CompTIA Certification Program.
  • Candidates must pay the exam price each time they attempt the exam. CompTIA does not offer any free re-tests or discounts on retakes.

Usually three years after launch