Data Analyst Training (Beginner to Advanced)

A powerful Data Analytics program designed for freshers and professionals to build strong IT data skills with hands-on tools, business workflows, Agile, documentation, dashboards, SQL, and analytics processes.

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Illustration of a data analyst sitting at a desk analyzing charts and graphs on a computer monitor, surrounded by data visualizations and reports.

8 modules

Gain insight into a topic and learn
the fundamentals.

4.7 ★

(173 reviews)

Beginner level

No prior experience required

Flexible schedule

3 weeks at 10 hours a week
Learn at your own pace

👍99%

Most learners liked this course

Course Information

The Data Analyst Training Program at Venster School of Excellence is a fully practical, job-oriented course designed to prepare students for real industry roles in data analytics, business intelligence, and reporting. This program covers the complete end-to-end data analysis lifecycle starting with data fundamentals, data cleaning, statistical concepts, business processes, and requirement analysis. Learners gain hands-on experience with essential tools such as Power BI, SQL, Excel, JIRA, and Confluence, along with real-time exposure to dashboards, reporting workflows, and business problem-solving techniques.

The training also introduces Agile methodology, documentation standards, and how Data Analysts work inside organizations to support decision-making. Students learn how to extract, transform, and visualize data, interpret insights, create reports, and present meaningful findings to stakeholders. Each module includes practical assignments and a real-world live project to help learners build a strong portfolio.

To ensure strong career outcomes, the program includes mock interviews, resume building, LinkedIn optimization, and lifetime mentoring support. Students receive personalized guidance to prepare for roles such as Data Analyst, BI Analyst, Reporting Analyst, Junior Data Scientist, and MIS Analyst.

By the end of this course, learners gain the technical skills, analytical mindset, and real-time project experience required to confidently apply for top Data Analyst positions in IT companies, startups, and enterprise organizations.

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What you'll learn

  • Introduction to Data Analytics & IT Workflow
  • SDLC & Agile Methodology
  • Stakeholders & Business Teams
  • Requirement Gathering & Documentation
  • Waterfall & Agile-based Data Analyst Workflow
  • Creating BRD, FRD, SRS, FSD, CR documents
  • SQL for Data Analysis (MySQL, SQL Server, Oracle)
  • Python basics for analysis
  • JIRA for project and workflow management
  • PInterview cracking techniques & resume preparation

Syllabus Outline

Comprehensive curriculum designed by industry experts

  • Data Analysis overview and origin

  • IT hierarchy SDLC & Agile

  • Types of stakeholders in IT data projects

  • Data Analyst prerequisites

  • Roles & responsibilities of a Data Analyst

  • Introduction to requirements planning

  • Identifying stakeholders

  • Stakeholder management via user calls

  • RACI Matrix

  • Types of requirements

  • Creating a Data Analysis Plan

  • Project kickoff

  • Requirement gathering process

  • Stakeholder management

  • Documents prepared by Data Analyst (BRD, FRD, SRS, FSD, CR) (Pages 5–6)

  • Sign-off process

  • User stories & functional focus areas

  • UML, Process Flow, Use Cases

  • RTM creation

  • GAP Analysis

  • Requirement elicitation & gathering techniques

  • Wireframes

  • JIRA usage

  • SQL fundamentals

  • Waterfall vs Agile

  • Scrum Framework

  • User Stories, Epics, Backlogs

  • Release, Sprint Backlog

  • Sprint Planning

  • Sprint Review & Retrospective

  • Daily Scrum Meetings

  • Handling impediments

  • Agile estimation & burn-down charts

  • Roles: Product Owner, Product Manager, Stakeholders, Scrum Team

  • Stakeholder conflict

  • Insufficient time for requirement tasks

  • Unclear requirements

  • Stakeholder reluctance

  • Technology vs business mismatch

  • Scope creep

  •  

  • Banking

  • Insurance

  • Healthcare

  • Digital

  • Application

  • Finance

  • AI

  • BPO

  • Logistics

  • RPA

  • Software Development

  • Unit testing

  • Component testing

  • Smoke & Sanity testing

  • Regression testing

  • Integration testing

  • API testing

  • UI/UX testing

  • Tools: Selenium, HPQC, Informatica

  • Power BI (Reports, Dashboards, DAX, Workspace Publishing)
  • SQL (MySQL, SQL Server, Oracle, Sybase, MS Access)
  • Python basics
  • JIRA
  • Excel for Data Analysis

Course Batches

🎓 500+ Students ⭐ 4.8/5 Rating

Select a cohort to view schedule and details.

Certification Details

Industry-Recognized Data Analyst Certificate of Completion

Upon successful completion of the Data Analyst Training Program, you will receive an Industry-Recognized Certificate of Completion from Venster School of Excellence.
This certification validates your skills in Data Analysis, SQL, Power BI, Excel, Business Intelligence, and real-world analytical problem-solving.

Certificate Benefits:

  • Proof of your Data Analysis, SQL, and Power BI skills
  • Enhances your resume and LinkedIn profile for top Data Analyst roles
  • Recognized by IT companies, startups, and enterprise employers
  • Digital and printed certificate provided
  • Strengthens credibility during job interviews
  • Includes a project portfolio showcasing dashboards, reports, and real datasets
Job Opportunities

Where Data Analytics skills can take you

📊

Data Analyst

₹4–10 LPA

Analyze business data, build dashboards, and present insights using SQL, Excel, and Power BI.

Power BI SQL Excel
📈

Business Intelligence Analyst

₹6–15 LPA

Create BI dashboards, automate reporting, and work with stakeholders to drive business decisions.

Power BI DAX SQL
📚

Reporting Analyst

₹4–9 LPA

Build automated reports, analyze KPIs, and support business operations with data insights.

Excel Power BI Analytics
🧠

Junior Data Scientist

₹6–18 LPA

Apply statistical techniques, build predictive models, and support ML-based decision systems.

Python Statistics ML Basics
Step 1

Profile Power-Up

Build a strong analytics portfolio with dashboards, case studies, and real business datasets.

Step 2

Interview Readiness

Crack Data Analyst interviews with SQL challenges, case studies, and mock interview practice.

Step 3

Hiring Rounds

Apply to top companies and clear analytics assessments, SQL rounds, and dashboard evaluations.

Step 4

Offer Unlocked!

Secure high-paying roles such as Data Analyst, BI Analyst, Reporting Analyst, or Junior Data Scientist.

Achievements Spotlight

Student Success Gallery

Lavanya Gowri

Struggled in college due to poor training. The Data Science course was transformational real projects, hands-on learning. Got placed immediately through placement support. Thanks a Lot Naresh Sir

Parveen Jaleel

Completed my Data Analyst course recently. The training was so good and I learnt many stuffs with hands-on training. Hearty thanks to Laya Mam for on time coordination and to my trainer Mr. Anand Sir for extra ordinary training. Thank you very much.

Mani Balan

A great place to learn and grow as a Business Analyst. Their response is quick and professional. Special thanks to Ms. Laya for her support and to Mr. Naresh for his clear, polite, and professional teaching. I had an excellent learning experience.

Brindha Appi

Got placed in a top MNC thanks to Naresh sir’s very useful one-on-one training, clear explanations, and patient doubt-clearing; They supported throughout, and this was the best institute compared to others attended.

Sankar

College training was terrible. The Business Analytics course here transformed me with practical, industry-focused skills. Landed a job instantly through placement support. Thank you, Naresh sir

Frequently Asked Questions

Yes. The course starts from fundamentals and builds up to advanced topics like Power BI, SQL, Agile, documentation, and real-time project work.

No prior coding is required. Basic Python is taught at beginner level only for analytics workflows.

Yes. A real-time project is assigned based on domain interest, allowing you to build practical experience.

Power BI, SQL, Python, Excel, JIRA, UML tools, RTM preparation, and more.

Yes. Resume building, mock interviews, referrals, and lifetime mentoring are included.

Python opens doors to several in-demand career paths such as:

  • Software Developer

  • Data Analyst / Data Scientist (Entry-Level)

  • Automation Engineer

  • Machine Learning Enthusiast

  • Web Developer (Backend)
    You’ll also have a solid foundation to advance into fields like AI, cybersecurity, or full-stack development.

📝

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