Certified Data Analyst

How It Works

  1. 1. Select Certification & Register
  2. 2. Receive Online e-Learning Access (LMS)
  3. 3. Take exam online anywhere, anytime
  4. 4. Get certified & Increase Employability

Test Details

  • Duration: 60 minutes
  • No. of questions: 50
  • Maximum marks: 50, Passing marks: 25 (50%).
  • There is NO negative marking in this module.
  • Online exam.

Benefits of Certification

  • Government certification
  • Certification valid for life
  • Lifelong e-learning access
  • Learning Hours: 50+ hrs
  • Life Time Job Support
  • Updated Aug 2026

$69.00 /-

Data Analysts play a vital role in helping organizations transform data into meaningful business insights. By collecting, cleaning, analyzing, and visualizing data, they enable businesses to identify trends, measure performance, solve complex problems, and make informed decisions. Modern Data Analysts work with industry-leading tools such as Microsoft Excel, Power BI, Python, Tableau, Alteryx, Qlik Sense, and R to convert raw data into actionable intelligence. As organizations increasingly rely on data-driven decision-making, skilled Data Analysts are in high demand across industries including IT, banking, healthcare, consulting, manufacturing, retail, and e-commerce.

Certified Data Analyst Govt. Certified · Lifelong Access · Job Support
₹4,999 ₹3,999/-
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The Vskills Certified Data Analyst certification is a comprehensive government certification designed to help learners build practical, job-ready data analytics skills. The certification covers the complete analytics journey—from data preparation and transformation to data modeling, visualization, dashboard creation, workflow automation, and reporting using leading analytics tools. Whether you are beginning your career or looking to upskill, this certification provides the knowledge and hands-on expertise required to excel as a Data Analyst.

Why Choose Vskills Certified Data Analyst Certification?

The Vskills Certified Data Analyst certification is designed to equip learners with practical, industry-relevant skills that employers value. Through a structured curriculum covering the most widely used data analytics and business intelligence tools, you'll gain the ability to prepare, analyze, visualize, and present data effectively. As a government certification, Vskills helps validate your skills while enhancing your professional credibility and career opportunities.

Benefits of the Certification

  • Learn the complete data analytics workflow from data preparation to interactive dashboards.
  • Master industry-leading tools including Microsoft Excel, Power Query, Power Pivot, DAX, Power BI, Python, Alteryx, Qlik Sense, R, and Tableau.
  • Develop practical skills in data cleaning, transformation, modeling, and visualization.
  • Build interactive reports and dashboards to support business decision-making.
  • Learn workflow automation techniques using modern analytics tools.
  • Gain hands-on knowledge through a structured, self-paced online learning program.
  • Earn a government certification that validates your data analytics skills.
  • Enhance your resume and professional profile with an industry-recognized credential.
  • Access Vskills placement assistance and employer network.
  • Suitable for beginners as well as professionals looking to upgrade their analytics expertise.

Who Should Enroll?

The Vskills Certified Data Analyst certification is ideal for individuals who want to build a successful career in data analytics or strengthen their analytical and business intelligence skills. Whether you are entering the workforce, transitioning into analytics, or working with business data, this certification provides the practical knowledge and tools needed to analyze data, create impactful visualizations, and support data-driven decision-making.

This Certification is Ideal For:

  • Students and Recent Graduates – Build a strong foundation in data analytics and acquire practical skills that enhance employability across industries.
  • Aspiring Data Analysts and Career Changers – Learn the essential tools and techniques needed to start or transition into a successful career in data analytics.
  • Business Analysts and MIS Executives – Strengthen your ability to analyze business data, create reports, and build interactive dashboards for informed decision-making.
  • Reporting, Operations, and Business Intelligence Professionals – Improve reporting efficiency and gain expertise in data visualization, business intelligence, and performance monitoring.
  • Software and IT Professionals – Expand your technical expertise by learning modern data analytics, reporting, and visualization tools used across organizations.
  • Finance, Banking, and Accounting Professionals – Analyze financial data, generate meaningful reports, and support business decisions with data-driven insights.
  • Marketing, Sales, and Customer Analytics Professionals – Measure campaign performance, understand customer behavior, and uncover trends using analytical tools and dashboards.
  • Operations, Supply Chain, and HR Professionals – Leverage analytics to optimize business processes, monitor KPIs, and make better operational and workforce decisions.
  • Project Managers, Team Leads, and Consultants – Use analytics and business intelligence tools to track performance, identify opportunities, and support strategic planning.
  • Entrepreneurs and Business Owners – Gain valuable insights into business performance, customer trends, and operational metrics to make informed business decisions.
  • Anyone Interested in Data Analytics – Whether you're a beginner or an experienced professional, this certification provides a structured pathway to mastering industry-leading data analytics and business intelligence tools.

What You Will Learn?

The Vskills Certified Data Analyst certification equips you with the practical knowledge and technical skills required to collect, prepare, analyze, and visualize data using industry-leading analytics tools. Through hands-on learning, you will gain the ability to transform raw data into meaningful insights, create interactive dashboards, and support data-driven business decisions.

After completing this certification, you will be able to:

  • Understand the role of a Data Analyst and the end-to-end data analytics workflow.
  • Import, clean, organize, and prepare data for analysis using Microsoft Excel and Power Query.
  • Perform advanced data analysis using PivotTables, Pivot Charts, calculated fields, and custom calculations.
  • Build interactive Excel dashboards using charts, slicers, and timelines for effective reporting.
  • Transform and combine data from multiple sources using Power Query.
  • Create efficient data models and manage relationships using Power Pivot.
  • Develop powerful calculations and business metrics using Data Analysis Expressions (DAX).
  • Design professional reports and interactive dashboards using Microsoft Power BI.
  • Apply Python programming fundamentals for data analysis and file handling tasks.
  • Automate data preparation and transformation workflows using Alteryx.
  • Build business intelligence dashboards and visualizations using Qlik Sense.
  • Perform data analysis and basic visualizations using R programming.
  • Create compelling charts, dashboards, and interactive visualizations using Tableau.
  • Present data-driven insights effectively to support business and operational decision-making.
  • Build practical skills with the most widely used tools in modern data analytics and business intelligence.

Exam and Certification Details

Detail Information
Exam FormatOnline — attempt from anywhere, anytime
Number of Questions50 multiple-choice questions
Duration 60 minutes
Passing Score 25 out of 50 (50%) — no negative marking
Certificate Validity Lifetime — no renewal required
e-Learning AccessLifetime access to LMS and future content updates
Result Instant — available immediately after exam completion
LanguageEnglish

How to Use Your Vskills Certificate

  • Add it to LinkedIn under "Licenses & Certifications" so recruiters searching for AML/KYC talent find your profile.
  • Feature it on your resume — the government-recognised credential line adds instant credibility to your compliance experience.
  • Share the verification link with employers — your certificate comes with a QR code and verification code recruiters can check instantly.
  • Use it for internal promotions — many companies accept this certification as proof of mandatory Data Analyst training/certification.

Career Outcomes for Certified Professional

Job Role Industry Avg. Salary (India) Experience Level
Junior Data Analyst IT/ITES, BPO, Corporate ₹3.5 – ₹6 LPA Fresher – 2 years
Data Analyst IT/ITES, E-commerce, BFSI ₹6 – ₹10 LPA 2 – 4 years
Business Intelligence (BI) Analyst IT/ITES, Retail, BFSI ₹8 – ₹13 LPA 3 – 5 years
Senior Data Analyst IT/ITES, Consulting, E-commerce ₹11 – ₹16 LPA 5 – 8 years
Data Analytics Manager Consulting, BFSI, Corporate ₹16 – ₹24 LPA 8 – 12 years
Head of Analytics / Analytics Director MNC, Consulting, Large Enterprises ₹28 – ₹40+ LPA 12+ years

Companies that hire

Many well-known companies hire Vskills Certified Data Analysts to help them make sense of their data and support better business decisions. This includes IT companies like TCS, Infosys, Wipro, Accenture, Cognizant, and HCLTech, e-commerce companies like Amazon and Flipkart, banks like HDFC Bank and ICICI Bank, and consulting firms like Deloitte and EY. Many startups and global companies with offices in India also hire for these roles.

Vskills Certified Data Analyst – Frequently Asked Questions

Get answers about eligibility, exam pattern, career scope, validity, jobs and enrolment for the Vskills Certified Data Analyst Certification.

A data analyst identifies, collects, cleans, analyzes, and interprets data to help organizations make better, more informed business decisions. This typically involves working with raw data from multiple sources, spotting patterns and trends, and presenting findings in a clear, actionable way to stakeholders who may not have a technical background themselves.
Core skills include strong analytical thinking, problem-solving, and a good mathematical aptitude, combined with proficiency in tools like Excel, SQL, and data visualization platforms such as Power BI or Tableau. Increasingly, familiarity with Python is also expected, especially for cleaning and analyzing larger or more complex datasets.
A data analyst focuses on interpreting existing data to answer business questions and generate insights. A data scientist typically builds predictive models and applies more advanced statistical and machine learning techniques. A data engineer focuses on building and maintaining the systems and pipelines that collect, store, and move data in the first place, so analysts and scientists have reliable data to work with.
Very important — technical skills alone aren't enough, since a data analyst's real value comes from communicating findings clearly to non-technical stakeholders and helping teams understand what the data actually means for a business decision. Strong communication and stakeholder management skills are consistently highlighted as core requirements, alongside technical ability.
Data analysts typically progress toward senior analyst roles, specialized positions like business intelligence analyst, or management roles overseeing analytics teams, with continued growth often depending on deepening both technical skills and business domain expertise over time.
It is a Govt. Certified course that builds practical data analysis skills — covering data collection, cleaning, analysis, visualization, and the tools and techniques used to turn raw data into meaningful business insights.
There are no strict eligibility criteria. The course is suitable for freshers, working professionals looking to move into a data analyst role, and anyone wanting to build practical, job-ready data analysis skills.
The exam is an online proctored test consisting of 50 multiple-choice questions to be completed in 60 minutes. A minimum of 50% marks is required to pass and earn the certification.
Yes, this is a Govt. Certified course, and the certification carries lifetime validity, meaning there is no need for renewal once you are certified.
If a candidate does not clear the exam on the first attempt, a retake can be availed by registering for the exam retake voucher, priced at approximately ₹799 + GST, at vskills.in/certification/exam-retake. Upon successfully passing, the certificate is issued and made available for download, and can be shared on professional profiles such as LinkedIn or included in resumes to showcase verified data analysis competency.

Trusted Reviews for Vskills Certified Data Analyst

Build expertise in data cleaning, analysis, visualization and reporting with a govt certified lifetime credential.

4.9
★★★★★

Based on verified learners

★★★★★

I'd only ever used Excel casually before this, so moving into proper data analysis felt intimidating. The course broke it down well and I was building real reports within weeks.

- Sidhesh Gupta, Junior Data Analyst
★★★★★

Good mix of theory and hands-on practice with SQL and visualization tools. Helped me move from a support role into an actual analyst position at work.

- Rohit Malhotra, Business Intelligence Analyst
★★★★

Solid foundation course, especially the data cleaning section which I hadn't given much thought to before. Would have liked a bit more on Python, but still good value.

- Simran Kaur, Operations Executive
★★★★★

Took this right after finishing college to have something concrete on my resume. Definitely helped me stand out in interviews compared to other freshers.

- Aditya Verma, Recent Graduate
TABLE OF CONTENT

Module 1: Introduction to Data Analytics

  • Introduction to Data Analytics
  • Understanding the Role of a Data Analyst
  • Data Analytics Workflow
  • Overview of Analytics Tools
  • Setting up the Analytics Environment

Module 2: Data Preparation in Excel

  • Importing Data
  • Understanding Different Data Sources
  • Preparing Data for Analysis
  • Cleaning and Organizing Data
  • Best Practices for Structured Datasets

Module 3: Advanced PivotTables

  • Creating PivotTables
  • Manipulating PivotTables
  • Grouping Data
  • Sorting and Filtering
  • Custom Calculations
  • Value Field Settings

Module 4: Data Analysis using PivotTables

  • Advanced Calculations
  • Calculated Fields
  • Running Totals
  • Percentage Analysis
  • Comparative Analysis
  • Business Summary Reports

Module 5: Data Visualization with Pivot Charts

  • Creating Pivot Charts
  • Formatting Charts
  • Interactive Reports
  • Slicers
  • Timelines
  • Building Excel Dashboards

Module 6: Data Transformation using Power Query

  • Introduction to Power Query
  • Importing Data
  • Cleaning Data
  • Transforming Data
  • Combining Data Sources
  • Query Management
  • Data Refresh

Module 7: Data Modeling with Power Pivot

  • Introduction to Power Pivot
  • Building Data Models
  • Relationships between Tables
  • Managing Large Datasets
  • Creating Efficient Models

Module 8: Data Analysis Expressions (DAX)

  • Introduction to DAX
  • Calculated Columns
  • Measures
  • Common DAX Functions
  • Time Intelligence
  • Advanced DAX Calculations

Module 9: Microsoft Power BI Fundamentals

  • Introduction to Power BI
  • Power BI Interface
  • Connecting to Data Sources
  • Importing Data
  • Transforming Data
  • Data Modeling Basics

Module 10: Power BI Data Visualization

  • Creating Reports
  • Interactive Dashboards
  • Charts and Visuals
  • Filters
  • Drill-down Reports
  • Publishing Reports

Module 11: Python for Data Analysis

  • Installing Python
  • Variables and Data Types
  • Operators
  • Conditional Statements
  • Loops
  • Functions
  • Modules
  • File Handling

Module 12: Workflow Automation using Alteryx

  • Introduction to Alteryx
  • Building Workflows
  • Data Preparation
  • Data Transformation
  • Workflow Optimization
  • Automation Fundamentals

Module 13: Business Intelligence with Qlik Sense

  • Introduction to Qlik Sense
  • Loading Data
  • Data Associations
  • Creating Visualizations
  • Interactive Dashboards
  • Business Reporting

Module 14: Data Analysis using R

  • Introduction to R
  • Installing R
  • R Fundamentals
  • Variables
  • Data Structures
  • Basic Data Analysis
  • Data Visualization Basics
  • Mini Project

Module 15: Tableau for Data Visualization

  • Introduction to Tableau
  • Connecting Data
  • Building Worksheets
  • Charts and Graphs
  • Dashboards
  • Interactive Visualizations
  • Publishing Dashboards

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