CompTIA® Data+ Complete Course, Labs, & Practice Exams
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CompTIA® Data+ Complete Course, Labs, & Practice Exams
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.
Course Details
$249USD
Course Highlights
- Course Price$249
- InstructorsFrank Kane, Jason Dion
- Total Duration13h 43m
- Total Lessons207
- Total Quizzes19
- Total Enrollments16 Students
- Access to material12 Months
- Official LabsIncluded
- Official TextbookIncluded
- Full Practice ExamsIncluded
- 100% Pass GuaranteeIncluded
Disclaimer
Prices may vary depending on local currency and exchange rates.
License
Course Description
Embark on a journey to master data analytics with the CompTIA Data+ (DA0-001) certification! This vendor-neutral certification is your gateway to developing and promoting data-driven decision-making in organizations. Designed for early-career data analysts, this course validates your ability to analyze, interpret, and communicate insights from data, setting you apart in the competitive field of data analytics.
Unlock the World of Data Analytics!
The CompTIA Data+ exam is meticulously structured to foster proficiency in collecting, analyzing, and reporting on data, thus enabling organizations to align their strategies and make informed business decisions. By the end of this course, you will have comprehensive knowledge and practical skills in the following five domains:
- Data Concepts and Environments (15%)
- Data Mining (25%)
- Data Analysis (23%)
- Visualization (23%)
- Data Governance, Quality, & Controls (14%)
Who Is This Course For?
- Individuals preparing for the CompTIA Data+ (DA0-001) Certification Exam
- Data Analysts, Database Engineers, and Data Scientists
- Cybersecurity and Information Technology Professionals
Learning Objectives
- Confidently pass the CompTIA Data+ certification exam
- Gain a deep understanding of data concepts, environments, mining, and analysis
- Develop proficiency in creating and interpreting visualizations
- Master the principles of data governance, ensuring data quality, and implementing controls
Course Overview
CompTIA Data+ serves as a stepping stone for early-career data analysts, empowering them with the knowledge and skills to drive data-driven business decision-making in any organization.
Prerequisites:
- Basic understanding of office productivity tools, such as Word and Excel
- Ability to comprehend basic mathematics and interpret graphs
Course Outline:
Frequently Asked Questions
No.TitleTypeStatus
1.WelcomeVIDEO
2.Download your free study guidePDF
3.Exam TipsVIDEO
4.How to Use the Lab EnvironmentVIDEO
5A.Lab: Exploring the Lab EnvironmentLAB
6.Checkpoint: IntroductionQUIZ
No.TitleTypeStatus
1.Data SchemasVIDEO
2.Relational DatabasesVIDEO
3.Non-relational DatabasesVIDEO
4.Comparing Database TypesVIDEO
5.Data NormalizationVIDEO
6.Database RelationshipsVIDEO
7.Referential IntegrityVIDEO
8.Data DenormalizationVIDEO
9.Hands-on with Data SchemasVIDEO
10A.Lab: Navigating and Understanding Database DesignLAB
11.Checkpoint: Data SchemasQUIZ
No.TitleTypeStatus
1.Data SystemsVIDEO
2.Data Processing TypesVIDEO
3.Data WarehouseVIDEO
4.Data Warehouse SchemasVIDEO
5.Data LakesVIDEO
6.Changing Dimensional DataVIDEO
7.Hands-on with Data SystemsVIDEO
8.Checkpoint: Data SystemsQUIZ
No.TitleTypeStatus
1.Data TypesVIDEO
2.Quantitative & QualitativeVIDEO
3.Data Field TypesVIDEO
4.Converting DataVIDEO
5A.Lab: Understanding Data Types and ConversionLAB
6.Data StructuresVIDEO
7.Data File FormatsVIDEO
8A.Lab: Working with Different File FormatsLAB
9.Data LanguagesVIDEO
10.Hands-on with Data TypesVIDEO
11A.Lab: Understanding Data Structure and Types and Using Basic StatementsLAB
12.Checkpoint: Data TypesQUIZ
No.TitleTypeStatus
1.Data AcquisitionVIDEO
2.Extracting DataVIDEO
3.Transforming DataVIDEO
4.Loading DataVIDEO
5.Application Programming Interface (API)VIDEO
6.Web ScrapingVIDEO
7.Machine DataVIDEO
8.Public DatabasesVIDEO
9.Survey DataVIDEO
10.Sampling and ObservationVIDEO
11.Hands-on with Data AcquisitionVIDEO
12A.Lab: Using Public DataLAB
13.Checkpoint: Data AcquisitionQUIZ
No.TitleTypeStatus
1.Cleansing and Profiling DataVIDEO
2.Data Profiling StepsVIDEO
3.Data Profiling ToolsVIDEO
4A.Lab: Profiling Data SetsLAB
5.Redundant and Duplicated DataVIDEO
6A.Lab: Addressing Redundant and Duplicated DataLAB
7.Unnecessary DataVIDEO
8.Missing ValuesVIDEO
9A.Lab: Addressing Missing ValuesLAB
10.Invalid DataVIDEO
11.Meeting SpecificationsVIDEO
12.Data OutliersVIDEO
13.Hands-on with Cleaning and Profiling DataVIDEO
14A.Lab: Preparing Data for UseLAB
15.Checkpoint: Cleansing and Profiling DataQUIZ
No.TitleTypeStatus
1.Data ManipulationVIDEO
2.Recording DataVIDEO
3.Derived VariablesVIDEO
4.Value ImputationVIDEO
5.Aggregation and ReductionVIDEO
6.Data MaskingVIDEO
7.Transposing DataVIDEO
8.Appending DataVIDEO
9.Hands-on with Data ManipulationVIDEO
10A.Lab: Recoding DataLAB
11.Checkpoint: Data ManipulationQUIZ
No.TitleTypeStatus
1.Performing Data ManipulationVIDEO
2.Data BlendingVIDEO
3.Parsing StringsVIDEO
4.Date ManipulationVIDEO
5.Conditional LogicVIDEO
6.Aggregation FunctionsVIDEO
7.System FunctionsVIDEO
8.Hands-on with Performing Data ManipulationVIDEO
9.Checkpoint: Performing Data ManipulationQUIZ
No.TitleTypeStatus
1.Querying & Filtering DataVIDEO
2.Querying DataVIDEO
3.Join TypesVIDEO
4A.Lab: Working with Queries and Join TypesLAB
5.Filtering DataVIDEO
6.ParameterizationVIDEO
7.Indexing DataVIDEO
8.Temporary TablesVIDEO
9.Subsets of RecordsVIDEO
10.Query Execution PlanVIDEO
11.Hands-on with Querying & Filtering DataVIDEO
12A.Lab: Building Queries and Transforming DataLAB
13.Checkpoint: Querying & Filtering DataQUIZ
No.TitleTypeStatus
1.Types of AnalysisVIDEO
2.Determining the Analysis TypeVIDEO
3.Exploratory AnalysisVIDEO
4.Performance AnalysisVIDEO
5.Gap AnalysisVIDEO
6.Trend AnalysisVIDEO
7.Link AnalysisVIDEO
8.Hands-on with AnalysisVIDEO
9.Checkpoint: Types of AnalysisQUIZ
No.TitleTypeStatus
1.Descriptive Statistical MethodsVIDEO
2.Central TendencyVIDEO
3A.Lab: Using the Measures of Central TendencyLAB
4.DispersionVIDEO
5.Standard DeviationVIDEO
6.Z-scoreVIDEO
7.DistributionVIDEO
8.FrequencyVIDEO
9.PercentagesVIDEO
10.Confidence IntervalVIDEO
11.Hands-on with Descriptive Statistical MethodsVIDEO
12A.Lab: Use Measures of VariabilityLAB
13.Checkpoint: Descriptive Statistical MethodsQUIZ
No.TitleTypeStatus
1.Inferential Statistical MethodsVIDEO
2.T-Tests and P-ValuesVIDEO
3.Hypothesis TestingVIDEO
4.Chi-SquareVIDEO
5.Regression AnalysisVIDEO
6.CorrelationVIDEO
7.Hands-on with Inferential Statistical MethodsVIDEO
8A.Lab: Analyzing DataLAB
9.Checkpoint: Inferential Statistical MethodsQUIZ
No.TitleTypeStatus
1.Visualization TypesVIDEO
2.Pie ChartVIDEO
3.Tree MapVIDEO
4.Column and Bar ChartsVIDEO
5.Line ChartVIDEO
6.Combining ChartsVIDEO
7.Scatter Plot and Bubble ChartVIDEO
8A.Lab: Building Basic Visuals to Make Visual ImpactLAB
9.HistogramVIDEO
10.WaterfallVIDEO
11.Geographic MapsVIDEO
12A.Lab: Building Maps with Geographical DataLAB
13.Heat MapsVIDEO
14.Word Clouds and InfographicsVIDEO
15.Hands-on with VisualizationVIDEO
16.Checkpoint: Visualization TypesQUIZ
No.TitleTypeStatus
1.Creating ReportsVIDEO
2.The AudienceVIDEO
3.Data SourcesVIDEO
4.Data ModelsVIDEO
5.Data FieldsVIDEO
6.Data DeliveryVIDEO
7.Reporting FrequencyVIDEO
8.Report TypesVIDEO
9A.Lab: Using Visuals to Tell a StoryLAB
10.Hands-on with Creating ReportsVIDEO
11A.Lab: Building an Ad Hod ReportLAB
12.Checkpoint: Creating DashboardsQUIZ
No.TitleTypeStatus
1.Dashboard DevelopmentVIDEO
2.Data FilteringVIDEO
3A.Lab: Filtering DataLAB
4.Data TablesVIDEO
5.Dashboard DesignVIDEO
6.Documenting DashboardsVIDEO
7.Documentation ElementsVIDEO
8.Report ElementsVIDEO
9.Dashboard OptimizationVIDEO
10.Deploying DashboardsVIDEO
11.Hands-on with Creating DashboardsVIDEO
12A.Labs: Designing Elements for DashboardsLAB
12B.Labs: Visualizing DataLAB
13.Checkpoint: Creating DashboardsQUIZ
No.TitleTypeStatus
1.Data GovernanceVIDEO
2.Data LifecycleVIDEO
3.Data RolesVIDEO
4.Regulations and ComplianceVIDEO
5.Data ClassificationVIDEO
6.Access RequirementsVIDEO
7.Data Retention and DestructionVIDEO
8.Data ProcessingVIDEO
9.Data SecurityVIDEO
10.Data AccessVIDEO
11.Data StorageVIDEO
12.Entity RelationshipsVIDEO
13.Hands-on with Data GovernanceVIDEO
14A.Lab: Understanding Security Requirements for Protecting InformationLAB
15.Checkpoint: Data GovernanceQUIZ
No.TitleTypeStatus
1.Data QualityVIDEO
2.Quality ChecksVIDEO
3.Quality DimensionsVIDEO
4.Quality Rules and MetricsVIDEO
5.Data ValidationVIDEO
6.Automated ValidationVIDEO
7.Data VerificationVIDEO
8.Master Data Management (MDM)VIDEO
9.Streamlining Data AccessVIDEO
10.Hands-on with Data QualityVIDEO
11.Checkpoint: Data QualityQUIZ
No.TitleTypeStatus
1.Data Analytic ToolsVIDEO
2.Data LanguagesVIDEO
3.Data Transformation ToolsVIDEO
4.Data Visualization ToolsVIDEO
5.Statistical ToolsVIDEO
6.Reporting ToolsVIDEO
7.Platform ToolsVIDEO
8.Checkpoint: Data Analytic ToolsQUIZ
No.TitleTypeStatus
1.BONUS: ConclusionVIDEO
2.CompTIA Data+ (DA0-001) Practice ExamQUIZ
Customer Reviews
Saul Gil Nieminen
Training Manager
5 out of 5 stars
Very knowledgeable trainer. He goes to the point and makes it easy to understand all the concepts.
Abdellatif Dr. Ayadi
PSM
5 out of 5 stars
Excellent. That is what I was expecting
Accredited Training Organization
Dion Training is an Platinum Partner for CompTIA certification exams.All of our courses undergo a stringent review by the accreditation body prior to being published. When you take a course through us, you can be assured you are getting the highest quality training and an affordable price.
100% Pass Guarantee
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We are so confident that you are going to learn everything you need to know to pass your CompTIA®, ITIL®, PRINCE2®, PRINCE2 Agile®, or Linux certification if you complete our courses at diontraining.com. So, if you do not pass your certification within 60 days of registering for and completing your course, simply send us your test score and your course completion letter, and we will pay for your exam retake.