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CompTIA Data+ (DA0-001) | CompTIA Data Certification Course
Rating: 4.1 out of 5(52 ratings)
1,005 students

CompTIA Data+ (DA0-001) | CompTIA Data Certification Course

CompTIA Data - Learn Data Concepts, Data Visualization, Data Analysis ; Statistics and pass the Data+ certification exam
Created byOak Academy, OAK Academy Team, Ali̇ CAVDAR
Last updated 10/2026
English
English [Auto],

What you'll learn

  • Comptia Data+ gives you the confidence to bring data analysis to life.
  • Take and pass the CompTIA Data+ (DA0-001) certification exam
  • Data Mining
  • Data Analysis
  • Data Visualization
  • Data Governance, Quality, & Controls
  • Data Schemas
  • Relational Databases Schemas
  • Non-Relational Databases
  • Comparing Databases
  • Data Processing(OLTP & OLAP)
  • Data Warehouse, Data Mart
  • Schema Consepts (Snowflake & Star)
  • Data Lake
  • Slowly changing dimensions
  • Quantitative Data, Qualitative Data
  • Data Types
  • Can we convert data types?
  • Data Structures
  • Data File Formats-Text/Flat File
  • Review Data Languages
  • Explain data acquisition concepts
  • Extracting Data
  • Transforming Data
  • Loading Data(Full Load & Delta Load)
  • Application programming interfaces (APIs)
  • Web Scraping
  • Machine Data
  • Public Data
  • Survey Data
  • Sampling & Observation
  • Cleansing and Profiling Datasets
  • Data Profiling Steps
  • Tools that Simplify The Data Profiling Process
  • Redundant Data
  • Dublicate Data
  • Missing Values
  • Invalid Data
  • Non-parametric Data
  • Data Outliers
  • Specification mismatch
  • Data Manipulation Techniques.
  • Recording Data
  • Derived Variables
  • Data Blending
  • Concatenation
  • Data Append
  • Value İmputation
  • Reduction/Aggregation
  • Filtering
  • Data Sorting
  • Date Functions
  • Logical functions
  • Aggregate Functions
  • System Functions
  • Query Optimization
  • Parameterization
  • Indexing
  • Temporary table in the query set
  • Subset of records
  • Execution Plan
  • Data Analysis
  • Exploratory Data Analysis(EDA)
  • Sentiment Analysis
  • Perfomance Analysis
  • Diagnostic Analysis
  • Gap Analysis
  • Trend Analysis
  • Link Anlysis
  • Descriptive Statistical Methods
  • Measures of Central Tendency (Mean, Median, Mode)
  • Why is Central Tendency Important?
  • Measures of dispersion
  • Frequencies/Percentages
  • Percent change / Percent Difference
  • Confidence intervals
  • Inferential Statistical Methods
  • T-tests
  • P-Values
  • Z-Score
  • Chi-squared
  • Hypothesis Testing
  • Linear Regression
  • Correlation
  • Data Analytics Tools
  • Excel-Tableau
  • Power BI ve Rapid Mine
  • Data Visualization Tools(Qlik, AWS QuickSight, ArcGIS)
  • Statistical Tools
  • SAS, IBMSPSS
  • Stata, Minitab
  • Reporting Tools
  • SSRS, Crystal Reports ve Power BI
  • Platform Tools
  • Business Objects, MicroStrategy
  • Oracles Apex, Dataroma
  • Cognos, Rapid Miner
  • Oracle Analytics, Domo ve Microsoft Power platform
  • Creating Reports
  • Data Content
  • Data Filtering
  • Data Sorting
  • Views
  • Data Range
  • Frequency
  • Audience for Report
  • Creating Dashboards
  • Report cover page
  • Design Elements
  • Documentation Elements
  • Dashboard Considerations
  • Data sources and attributes
  • Continuous/live Data Feed vs. Static Data
  • Development Process
  • Mockup/wireframe
  • Approval granted
  • Develop Dashboard
  • Deploy to production
  • Subscription and Scheduled delivery
  • Interactive
  • Static & Web interface
  • Dashboard optimization & Access permissions
  • Visualization Type
  • Line Chart
  • Pie Chart – Bubble Chart
  • Scatter Plot-Bar Chart
  • Histogram-Waterfall
  • Heat map - Geographic map
  • Tree map - Stacked chart
  • Infographic - Word cloud
  • Compare and contrast types of reports.
  • Static vs. dynamic reports
  • Ad-hoc/one-time report
  • Self-service/on demand
  • Recurring Reports
  • Tactical/Research report
  • Data Governance, Quality, and Controls
  • Data Lifecycle
  • Data Roles
  • Access Requirements
  • Security Requirements
  • Storage environment requirements
  • Use Requirements
  • Data Process
  • Data Retention
  • Entity Relationship Requirements
  • Data Classification
  • Jurisdiction Requirements
  • Data Breach Reporting
  • Data Quality Control Concepts
  • Circumstances to check for quality
  • Automated Validation
  • Data Quality Dimensions
  • Data quality rule and metrics
  • Cross validation & Sample/Spot Check
  • Reasonable expectations & Data profiling
  • Data audits & Peer Review
  • Explain master data management (MDM) concepts.
  • Processes
  • Circumstances for MDM
  • Data Concepts and Environments

Course content

22 sections • 163 lectures • 13h 41m total length

  • Data Schemas3:53

    In this lesson we will examine Data schemas

  • Relational Databases Schemas7:35

    In this lesson, we will cover Relational Databases Schemas.

  • Non-Relational Databases6:25

    In this lesson, we will cover Non-relational Databases Schemas.

  • Comparing Databases11:29

    In this lesson we will compare Databases

  • Data Processing(OLTP & OLAP)6:33

    In this lesson, we will examine OLTP and OLAP within the scope of Data Processing.

  • Data Warehouse13:33

    In this lesson we will learn the concept of Data Warehouse.

  • Data Mart3:37

    In this lesson we will learn the concept of Data Mart

  • Schema Concepts(Snowflake & Star)7:40

    In this lesson, we will examine Schema Concepts.

  • Data Lake7:43

    In this lesson we will learn the concept of Data Lake

  • Slowly Changing Dimensions5:34

    In this lesson we will learn the concept of Slowly changing dimensions

  • Quiz

Requirements

  • Basic Knowledge of Mathematics
  • Any device where you can watch the lesson, such as a mobile phone, computer or tablet.
  • Internet Connection
  • Understand how to read graphs
  • Learning determination and patience.
  • Watch the course videos completely and in order.

Description

Welcome to the “CompTIA Data+ (DA0-001) | CompTIA Data Certification Course” course

CompTIA Data - Learn Data Concepts, Data Visualization, Data Analysis & Statistics and get ready for the Data+ certification exam

Every report, dashboard, and business decision starts with the same question: what is the data actually telling us? CompTIA Data+ (DA0-001) is the certification built around the people who can answer it, and this course takes you through it from the first concept to the last. You learn how data is structured and collected, how it is cleaned and manipulated, how it is analyzed with statistics, and how it is turned into reports and dashboards that people understand and act on. Every topic is explained step by step, so you understand not just what a technique is called, but when to use it and why.

Data skills are no longer limited to data teams. Businesses, schools, universities, and healthcare organizations all collect more data than ever, and they need people who can turn it into clear, useful insights. That is why the course covers the whole path, from data concepts and environments to mining, analysis, visualization, and governance, so you see how the stages connect the way they do in real work.

Along the way, you build the habits that make an analyst effective: choosing the right statistical method, picking the right chart for the message, and keeping data quality and governance in mind from start to finish. Reports that persuade instead of confuse are a skill, and this course treats them like one.

Whether you’re brand new to data, working in a business, reporting, or operations role and want to work with data more confidently, or switching careers into data analytics, you can start here. The course builds up from the fundamentals, so you can learn each idea in order.

Why Learn CompTIA Data+?

CompTIA Data+ is a vendor-neutral, early-career data analytics certification. It shows employers that you can work with data to support business decisions: acquiring and cleaning it, analyzing it with appropriate statistical methods, visualizing it, and handling it responsibly under governance and quality standards. Because it isn’t tied to one tool, it applies whichever analytics software your organization uses.

Data literacy is useful in almost every sector, from technology and finance to healthcare and marketing. The skills Data+ covers, such as working with datasets, summarizing findings, and communicating insights, support roles like data analyst, business analyst, reporting analyst, and operations analyst, and they keep their value long after the exam.

What Skills Will You Learn in This Course?

  • Data Concepts and Environments: Data schemas and dimensions, common data structures, and file formats.

  • Data Mining: Data acquisition concepts, why datasets are cleansed and profiled, and the techniques used to manipulate data.

  • Data Analysis: Descriptive statistical methods, types of analysis, and critical analysis techniques.

  • Visualization: Translating business requirements into the right report or dashboard, with the proper design components.

  • Data Governance, Quality and Controls: Core data governance concepts and the controls used to keep data quality high.

  • Exam Preparation: The five DA0-001 exam domains in one structured course, so you always know where each topic fits.

Who Is This Course For?

  • Data Beginners: People who want a clear starting point in data analytics.

  • Aspiring Data Analysts: Learners aiming at data analyst, business analyst, or reporting analyst roles.

  • Business and Operations Professionals: People who work with reports and want to analyze and present data with more confidence.

  • IT and Entry-Level Analytics Staff: Professionals who want a vendor-neutral foundation in data analysis.

  • CompTIA Data+ Candidates: Anyone preparing for DA0-001 who wants every exam domain covered in one structured course.

  • Career Changers: People moving into data analytics who need a solid foundation.

Basic computer skills are enough to begin. If statistics or data terms are new to you, the course starts with the concepts and builds from there.

Why Choose This Course?

All five exam domains in one place. The course follows the DA0-001 domains: data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls.

You follow the path data really takes. From where data comes from to how it is cleaned, analyzed, and presented, you see the whole life cycle, not isolated topics.

You learn the reasoning, not only the terms. Every topic is explained step by step, so you understand when a method fits and why. That is what scenario-based exam questions test.

You learn to communicate with data. Choosing the right visualization and building reports that persuade instead of confuse are part of the course, not an afterthought.

You build skills for the job, not only for the exam. Cleaning data, summarizing it, and presenting insights are what analysts do every day.

You study at your own pace and can revisit any lesson as often as you like.

Frequently Asked Questions

Can I learn data analytics from scratch with this course?
Yes. The course starts with the fundamentals of data and builds step by step. You don’t need to arrive knowing statistics or analytics tools. Learn each concept in order, and rewatch the early lessons until the terms feel familiar before moving on.

Which Data+ exam version does this course cover?
This course covers CompTIA Data+ DA0-001 and its five domains: data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls. Download the official exam objectives and use them as a checklist while you study.

What is CompTIA Data+?
It is a vendor-neutral, early-career data analytics certification for professionals who support data-driven business decisions by analyzing and interpreting data and communicating insights.

What is the difference between Data+ and DataSys+?
Data+ is aimed at data analysts: working with data, statistics, and reporting. DataSys+ is aimed at database administrators: deploying, managing, and securing databases. Choose Data+ if you want to analyze and present data, and DataSys+ if you want to administer the databases behind it.

Do I need experience before taking the Data+ exam?
CompTIA lists experience in a report or business analyst role as a recommendation, not a requirement. This course is designed so you can start from the basics, and it gives you the concepts to build that experience on.

What jobs can Data+ lead to?
Data+ is a common step toward roles such as data analyst, business analyst, reporting analyst, and operations analyst, and it can support a move toward data architecture or data science. Requirements depend on the employer and the position, so compare a few job listings with the course topics.

Will this course help me pass the Data+ exam?
It is built to help you understand every exam domain and prepare with confidence. Your result depends on your study effort, your understanding, and your performance on exam day.

What if I get stuck on a topic?
Post your question in the course Q&A section. Our instructors answer questions within 48 hours at the latest, and you can rewatch any lesson with lifetime access.

Why Choose OAK Academy?

Our answer is simple: the quality of teaching.

Based in London, OAK Academy is an online education company offering courses on Udemy in IT, software, design, and development, in many languages. We keep adding new courses and update existing ones so students stay current.

  • Clear Video and Audio: See clearly, hear clearly, and learn without distractions.

  • Lifetime Access: Come back to any lesson whenever you want to review a topic.

  • Fast, Friendly Q&A Support: Ask your questions in the course Q&A section.

  • Certificate of Completion: Download your Udemy certificate when you finish the course.

Start Your CompTIA Data+ DA0-001 Journey Today

Learn how data is collected, cleaned, analyzed, and presented, and walk into your DA0-001 preparation knowing what to expect.

Enroll today in the CompTIA Data+ (DA0-001) | CompTIA Data Certification Course and take your next step toward a career in data analytics.

Who this course is for:

  • Students preparing for the CompTIA Data+ (DA0-001) Certification
  • CompTIA Data+ is an ideal certification for not only data-specific careers, but also other career paths that benefit from analytics processes and data analytics knowledge.
  • Jobs like marketing specialists, financial analysts, human resource analysts or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly with Comptia Data+
  • Data Scientists
  • Data Analysts
  • Data Manager
  • Data Specialist
  • Database Engineers
  • Information Technology Professionals

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