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Data Analytics

Data Analytics with Power BI, SQL & AI

A practical data analytics course for freshers and non-IT graduates focused on Excel, SQL, Power BI, AI-assisted analysis, and business dashboard projects.

4 months
Hybrid live
6 modules · 33 topics

What you'll achieve

Excel, SQL, Power BI, dashboard storytelling, Python basics, and AI-assisted analysis for business reporting roles.

Who this course is for

  • Freshers and non-IT graduates who want analytics roles
  • Commerce, business, BCA, BSc, and engineering students who prefer dashboards and business analysis
  • Working professionals who want Excel, SQL, Power BI, and AI-assisted reporting skills

Job roles to target

Data AnalystBusiness AnalystMIS AnalystReporting AnalystAnalytics Associate

Tools and skills covered

ExcelSQLPower BIDAXPower QueryPython basicsAI analysis promptsData storytelling

Full Syllabus

1

Module 1: Analytics Foundations

  • Types of analytics
  • Business questions
  • KPI thinking
  • Data quality
  • Dashboard users and decisions
2

Module 2: Excel and Data Cleaning

  • Excel formulas
  • Pivot tables
  • Lookups
  • Data validation
  • Cleaning messy sheets
  • Charts
3

Module 3: SQL for Analysts

  • SELECT and filtering
  • Aggregations
  • Joins
  • Subqueries
  • Window functions basics
  • Business SQL practice
4

Module 4: Power BI Dashboards

  • Data import
  • Power Query
  • Data model
  • DAX basics
  • Interactive dashboards
  • Publishing and sharing
5

Module 5: AI-Assisted Analysis

  • Prompting for analysis plans
  • Explaining trends
  • Writing insight summaries
  • Checking AI mistakes
  • Presentation support
6

Module 6: Portfolio and Case Interviews

  • Dashboard portfolio
  • Business case walkthrough
  • Insight writing
  • Mock stakeholder presentation
  • Resume and LinkedIn

What You'll Build

These are the projects you'll complete during the course — each one is deployable, portfolio-ready, and designed to demonstrate real skills to hiring teams.

Note: Projects and tools may be updated between batches based on industry trends, trainer expertise, and current hiring patterns. The goal remains the same — you leave with work you can show employers.

Sales and Revenue Dashboard

Power BI report with revenue trends, region performance, product mix, target variance, and executive summary.

Power BIDAXExcelSQL

Customer Support Analytics

Analyze support tickets to find SLA misses, repeat issues, agent performance, and root-cause themes.

SQLPower BIAI summaries

Marketing Funnel Report

Track leads from source to conversion and present clear recommendations for improving admissions campaigns.

ExcelSQLPower BIData storytelling

Data Analytics with Power BI, SQL & AI training in Bengaluru

This course is built for Bengaluru fresher hiring patterns: fundamentals, hands-on projects, interview explanation, and portfolio proof. Learners can attend from Bengaluru and discuss batches, fees, and placement-readiness with the admissions team.

Format

Hybrid live

Duration

4 months

Support

Projects + interview prep

Bengaluru fresher salary and hiring context

Typical fresher analytics and reporting roles in Bengaluru often start around Rs. 3.5L to Rs. 6L per annum, with stronger outcomes for SQL, Power BI, and business presentation skills.

Salary ranges are directional and depend on background, project quality, communication, interview performance, and employer requirements.

What recruiters usually check

  • SQL query clarity
  • Dashboard usability
  • KPI understanding
  • Insight writing
  • Can explain business recommendations from data

Related career guides

Frequently asked questions

Is Power BI, SQL and AI enough for a data analyst fresher role?

It can be a strong foundation when paired with Excel, dashboard projects, business case practice, and clear presentation of insights.

Do I need Python for this course?

Python is useful but not the first barrier. The course prioritizes Excel, SQL, Power BI, and business analysis, then adds Python basics for data handling.

How does AI help data analysts?

AI can help plan analysis, summarize trends, draft insight narratives, and create checks. Learners still verify numbers, logic, and business meaning themselves.

Ready to start Data Analytics with Power BI, SQL & AI?

Get batch details, fees, and a personalized learning plan from our admissions team.

Admissions open

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