Become Job-Ready in Excel, SQL, Power BI & Data Analytics
Master the tools companies use for reporting and dashboards, then build portfolio projects for Data Analyst and Power BI roles.
Roles students can target
These entry-level roles connect the course skills to real interview opportunities.
Data Analyst
Power BI Developer
MIS Executive
Business Analyst
SQL Analyst
Reporting Analyst
What you'll use in every class
Industry tools covered in training, projects, and placement preparation.
Learn the skills companies ask in interviews
Each module builds toward projects, resume confidence, and interview answers.
Advanced Excel for Business Reporting
- Advanced formulas — VLOOKUP, XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, IFERROR
- Pivot tables — grouping, slicers, calculated fields, and drill-down reports
- Dynamic charts and conditional formatting for professional reporting
- Power Query in Excel — connecting, cleaning, and transforming multiple data sources
- Business KPI design — dashboards for sales, HR, operations, and finance domains
SQL for Business Analytics
- SELECT, WHERE, GROUP BY, HAVING, ORDER BY — writing business queries from scratch
- Joins — INNER, LEFT, and FULL OUTER for combining multiple business tables
- Subqueries and CTEs — structuring complex multi-step analytical queries
- Window functions — ROW_NUMBER, RANK, LAG, LEAD for trend and comparison analysis
- Real datasets — sales, inventory, HR, and customer data analytical scenarios
Power BI, DAX & Dashboard Design
- Connecting Power BI to Excel, CSV, MySQL, SharePoint, and web data sources
- Power Query Editor — merging tables, custom columns, and cleaning transformations
- DAX measures and calculated columns — SUM, CALCULATE, FILTER, DIVIDE, YTD, MTD
- Building interactive dashboards — slicers, drill-through, tooltips, and bookmarks
- Publishing to Power BI Service, report sharing, row-level security, and mobile layout
Python for Data Analysis
- Python basics — variables, functions, loops, lists, dictionaries, and file handling
- Pandas — loading Excel/CSV, filtering, grouping, merging, and aggregation
- NumPy — numerical operations and array manipulation for analytical computations
- Matplotlib and Seaborn — building charts, bar charts, and heatmaps from Python
- Automating repetitive reporting tasks using Python scripts and scheduled runs
Business Case Studies, Projects & Placement Prep
- Domain case studies — sales, HR analytics, supply chain, finance KPI reporting
- 4 full portfolio projects across automobile, pharma, logistics, and FMCG domains
- SQL analytical investigation — end-to-end data analysis from raw relational tables
- Mock interviews — Excel, SQL, Power BI, and business case scenario questions
- Resume writing focused on dashboard and SQL projects, LinkedIn and GitHub setup
Projects students can show during interviews
Automobile Dealership Monthly Sales Dashboard
Specific dealership domain — shows dashboard thinking and KPI drill-down.
Warehouse Manpower Productivity Report
Logistics/operations domain — useful for real business reporting interviews.
Pharma Distributor Stock SQL Analysis
Healthcare supply chain — builds SQL confidence with a niche domain.
FMCG Regional Distributor KPI Tracker
FMCG domain — end-to-end portfolio project for Data Analyst roles.
25,000+ students placed — here's a few
These are actual placements from The Kiran Academy — verified and updated regularly.
Our students are working at
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See how real interviews go — preparation, answers, and feedback included.
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What our placed students say
From basics to placement preparation
Excel + SQL Foundation
Learn reporting basics, formulas, queries and business data.
Power BI Dashboards
Build interactive dashboards with Power Query and DAX basics.
Business Case Studies
Work on sales, HR, operations and KPI reporting cases.
Portfolio + Placement Prep
Resume, dashboard explanation, SQL mock interviews and job prep.
Good fit for these students
- Freshers who want analyst jobs quickly
- Commerce, MBA, BSc, BCA, BE, BTech students
- Working professionals moving into reporting roles
- Non-programming students who prefer dashboards and SQL
Beginner career path
Your first class is free.
Attend a demo session before you decide. No obligation, no fees — just learning.
Data Science or Data Analytics?
Choose Data Analytics if you want reporting, dashboard, SQL, Excel, and business analysis jobs.
Common student doubts
Short answers for course, placement, and project expectations.
Yes. Data Analytics is one of the most accessible IT careers for non-programmers. It focuses on Excel, SQL, Power BI, dashboards, and business reporting — tools that are used across finance, HR, operations, and supply chain. No prior coding experience is required.
A fresher data analyst in Pune typically earns between ₹3 LPA and ₹5 LPA. Power BI Developer and Business Analyst roles pay ₹4–7 LPA with 1–2 years of experience. MIS Executive roles start around ₹2.5–3.5 LPA. Students with strong dashboard portfolios regularly land their first roles at ₹3.5–5 LPA.
Yes, and data analytics is particularly well-suited for commerce, MBA, BBA, and non-IT students. These students already understand business domains — finance, sales, operations — which gives them a strong advantage when building dashboards and interpreting business KPIs. Many placed students at The Kiran Academy came from non-IT backgrounds.
A data analyst works across tools — Excel, SQL, Python, and dashboards — to investigate data and generate business insights. A Power BI Developer specialises in building and maintaining interactive dashboards using DAX, Power Query, and data models in Power BI. Both roles overlap, and most job postings expect both skill sets. This course covers both tracks completely.
Yes. You will build interactive dashboards — an automobile sales dashboard, warehouse productivity report, pharma stock SQL analysis, and an FMCG KPI tracker — across 4 different business domains, all presentable during interviews.
Data analyst and MIS roles are available at TCS, Accenture, Cognizant, Capgemini, HDFC Life, Bajaj Finserv, Mphasis, Zensar, and many mid-size product and services companies. Non-IT sectors including banking, insurance, logistics, and FMCG also hire analysts who understand business reporting.
You can apply for Data Analyst, Power BI Developer, MIS Executive, Business Analyst, SQL Analyst, and Reporting Analyst roles across IT, BFSI, logistics, FMCG, and e-commerce industries.
Yes. Placement support includes resume preparation focused on your dashboard and SQL projects, mock interviews for Excel, Power BI, and business case scenarios, interview question preparation for analyst roles, and placement calls.
Most students with portfolio projects start receiving interview calls within 30–45 days of completing placement preparation. Timeline varies based on how actively you apply and how well you can present your dashboard projects.
You need a laptop with at least 8GB RAM. Excel, MySQL Workbench, and Power BI Desktop are free to download. Python is installed via Anaconda at no cost. No paid software is required for this course.
Yes. You will receive a course completion certificate from The Kiran Academy along with your dashboard portfolio — which is typically more valuable than the certificate itself during analyst role interviews.
