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 : 978-1-64459-349-3About 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.
Interactive Lessons
9+ Interactive Lessons | 307+ Exercises | 150+ Quizzes | 191+ Flashcards | 91+ Glossary of terms
Gamified TestPrep
50+ Pre Assessment Questions | 2+ Full Length Tests | 90+ Post Assessment Questions | 180+ Practice Test Questions
Hands-On Labs
25+ LiveLab | 8+ Video tutorials | 10+ Minutes
Key topics
Prepares for Certifications Exams
uCertify Data Analytics Master
Learn to see the big picture hiding in the smallest details – a valuable data analytics skill favored by stakeholders.
View more!CompTIA Data+ Certification Training
The CompTIA Data+ exam validates proficiency in data analysis and interpretation, covering areas such as data management, visualization, and statistical techniques. It certifies individuals with the essential skills needed to analyze and derive insights from diverse datasets, crucial for making informed business decisions and driving organizational success.
View more!Introduction
- The Data+ Exam
- What Does This Course Cover?
- Exam DA0-001 Exam Objectives
- DA0-001 Certification Exam Objective Map
Today's Data Analyst
- Welcome to the World of Analytics
- Careers in Analytics
- The Analytics Process
- Analytics Techniques
- Data Governance
- Analytics Tools
- Summary
Understanding Data
- Exploring Data Types
- Common Data Structures
- Common File Formats
- Summary
- Exam Essentials
Databases and Data Acquisition
- Exploring Databases
- Database Use Cases
- Data Acquisition Concepts
- Working with Data
- Summary
- Exam Essentials
Data Quality
- Data Quality Challenges
- Data Manipulation Techniques
- Managing Data Quality
- Summary
- Exam Essentials
Data Analysis and Statistics
- Fundamentals of Statistics
- Descriptive Statistics
- Inferential Statistics
- Analysis Techniques
- Summary
- Exam Essentials
Data Analytics Tools
- Spreadsheets
- Programming Languages
- Statistics Packages
- Machine Learning
- Analytics Suites
- Summary
- Exam Essentials
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
Data Governance
- Data Governance Concepts
- Understanding Master Data Management
- Summary
- Exam Essentials
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
Any questions?Check out the FAQs
Still have unanswered questions and need to get in touch?
Contact Us NowThe 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.