A practical data analytics course for freshers and non-IT graduates focused on Excel, SQL, Power BI, AI-assisted analysis, and business dashboard projects.
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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
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Written fee quote, applicable taxes and payment schedule
Next start date, class days, timings and teaching location
Entry requirements, weekly practice time and laptop/software needs
Trial eligibility, cancellation terms and placement-support scope
Batch dates and fee amounts are not listed here. Review the details with admissions before making a payment. Read the refund policy.
Comparing data paths? Applied Data Science & ML adds introductory machine learning to analysis foundations. Data Analytics with Power BI, SQL & AI focuses on dashboards and reporting. Compare the other course.
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.
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.
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