Data+

CompTIA — Data Analytics Certification · DA0-001

Data Analytics

CompTIA Data+

Mine data more effectively. Analyse with rigour. Communicate insights through compelling visualisations. CompTIA Data+ validates your ability to work with data concepts, perform analysis, create dashboards, and apply data governance — skills every data-driven organisation demands.

Data Concepts SQL Queries ETL Data Cleaning Statistics Data Analysis Data Visualisation Dashboards Reporting Data Governance

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CompTIA Data+ Analytics Dashboard

Modules

Full DA0-001 scope

39+ hrs

Duration

54 video classes

Data+

Analyst

CompTIA certified

24/7

Support

Expert guidance

Why CompTIA Data+

Drive Better Decisions with Data Literacy

🔍

Better Analyse and Interpret Data

Mine data more effectively. Analyse with rigour. Avoid confounding results. CompTIA Data+ teaches you to extract meaningful insights from raw data using statistical methods and ETL techniques.

📊

Communicate Insights

Highlight what's important in reports that persuade, not confuse. Help drive better data-driven decisions through compelling visualisations, dashboards, and well-structured reports.

💼

Demonstrate Competency

Make yourself a valuable team member. Data literacy means you're more employable and upwardly mobile — Data+ validates skills demanded across every industry today.

Topics You'll Master

Relational Databases

SQL Queries

ETL Pipelines

Data Cleaning

Data Profiling

Descriptive Statistics

Hypothesis Testing

Regression Analysis

Bar / Line Charts

Pie / Map Visuals

KPI Dashboards

Report Design

Data Governance

Data Quality

Master Data Mgmt

Power BI / Tableau

Relational Databases

SQL Queries

ETL Pipelines

Data Cleaning

Data Profiling

Descriptive Statistics

Hypothesis Testing

Regression Analysis

Bar / Line Charts

Pie / Map Visuals

KPI Dashboards

Report Design

Data Governance

Data Quality

Master Data Mgmt

Power BI / Tableau

Curriculum

CompTIA Data+ — 17-Module Programme

Identify Relational and Non-Relational Databases
Understand the Way We Use Tables, Primary Keys, and Normalization

Describe Types of Data Processing and Storage Systems
Explain How Data Changes

Understand Types of Data
Break Down the Field Data Types

Differentiate between Structured Data and Unstructured Data
Recognize Different File Formats (CSV, JSON, XML, Parquet)
Understand the Different Code Languages Used for Data

Understand ETL — Extracting, Transforming, and Loading Data
Explain API/Web Scraping and Other Collection Methods
Collect and Use Public and Publicly-Available Data
Use and Collect Survey Data

Learn to Profile Data
Address Redundant, Duplicated, and Unnecessary Data
Work with Missing Values
Address Invalid Data
Convert Data to Meet Specifications

Manipulate Field Data and Create Variables
Transpose and Append Data
Query Data using SQL

Use Functions to Manipulate Data
Use Common Techniques for Query Optimization

Use Measures of Central Tendency — Mean, Median, Mode
Use Measures of Dispersion — Range, Variance, Standard Deviation
Use Frequency and Percentages

Get Started with Analysis
Recognize Types of Analysis — Descriptive, Diagnostic, Predictive, Prescriptive

Understand the Importance of Statistical Tests
Break Down the Hypothesis Test
Understand Tests and Methods to Determine Relationships Between Variables

Use Basic Visuals — Bar, Line, Pie Charts
Build Advanced Visuals — Scatter Plots, Heat Maps
Build Maps with Geographical Data
Use Visuals to Tell a Story

Consider Audience Needs When Developing a Report
Describe Data Source Considerations For Reporting
Describe Considerations for Delivering Reports and Dashboards
Develop Reports or Dashboards
Understand Ways to Sort and Filter Data

Design Elements for Reports and Dashboards
Utilize Standard Elements
Creating a Narrative and Other Written Elements
Understand Deployment Considerations

Understand How Updates and Timing Affect Reporting
Differentiate Between Types of Reports

Define Data Governance
Understand Access Requirements and Policies
Understand Security Requirements
Understand Entity Relationship Requirements

Describe Characteristics, Rules, and Metrics of Data Quality
Identify Reasons to Quality Check Data and Methods of Data Validation
Explain the Basics of Master Data Management
Describe Master Data Management Processes

Course Snapshot

17 Modules

Full DA0-001 objectives

39+ Hours

54 video classes

Data Analytics

CompTIA certified

Tech Support

Call / WhatsApp

Mon–Fri

9 AM – 6 PM

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Career Outcomes

Data+ Careers in Analytics & Business Intelligence

Data literacy is now a must-have skill across every industry. Data+ validates the analytical, visualisation, and governance skills employers demand from data professionals.

TCS

Data Analyst

Cognizant

BI Analyst

Infosys

Analytics

Accenture

Data Mgmt

Data Analyst

Collect, clean, analyse, and present data to support business decision-making across departments.

₹6–16 LPA

Business Intelligence Analyst

Build BI dashboards, reports, and KPI visualisations using Power BI, Tableau, or Looker.

₹8–20 LPA

Data Reporting Specialist

Create and maintain automated reports, data pipelines, and governance documentation.

₹7–18 LPA

Data Quality Analyst

Profile datasets, identify data quality issues, and implement master data management processes.

₹8–20 LPA

Analytics Manager

Lead analytics teams, govern data assets, and translate business questions into data strategies.

₹14–35 LPA

Modules

39+

Hours of Content

Video Classes

Data+

Analytics Cert

Data Analytics

CompTIA Data+

Drive Better Decisions with Data Literacy

Better Analyse and Interpret Data

Communicate Insights

Demonstrate Competency

CompTIA Data+ — 17-Module Programme

Get a Custom Quotation

Data+ Careers in Analytics & Business Intelligence

Ready to Master Data Analytics?