Data Analytics Course in Pune with Placement
Become a job-ready Data Analyst with Excel, SQL, Power BI and Python — a complete data analysis course in Pune with dashboards, portfolio projects, and placement support. Classroom and live online batches.
Explore our courses, student placement records and placement preparation process. Placement outcomes depend on eligibility, skills and employer selection.
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
Data Cleaning, Modelling & Quality Checks
- Data profiling — identify missing values, duplicates, invalid categories, and outliers
- Power Query transformations — append, merge, unpivot, split, and reusable cleaning steps
- Star schema design — fact and dimension tables for reliable Power BI reporting
- Data relationships, date tables, cardinality, and filter direction in analytical models
- Reconciliation checks — validate dashboard totals against source-system reports
Statistics, KPI Design & Business Storytelling
- Descriptive statistics — mean, median, variance, distribution, and percentile interpretation
- Business KPI selection — leading vs lagging indicators and target-versus-actual analysis
- Trend, cohort, contribution, and variance analysis for management questions
- Choosing clear charts and writing insight summaries for non-technical stakeholders
- Presenting recommendations, assumptions, limitations, and next actions from dashboard findings
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.
Placement preparation
Practice technical interviews, prepare a project portfolio and discuss current opportunities with our counsellors. Employer selection and job offers depend on each candidate and vacancy.
Watch mock interviews & practice sessions
See how real interviews go — preparation, answers, and feedback included.
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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.
Join the same course, 100% live online
Same trainers, syllabus, and placement support — attend from anywhere in India with live instructor-led sessions.
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.
The listed Data Analytics course duration is 4 months, including SQL, Excel, Power BI, Python, portfolio projects and placement preparation. Prior experience may affect learning pace. Completing these activities helps you practise analysis and explain your work; it does not guarantee employment in 3 months or at course completion.
Pay depends on the role, employer, location, experience and offer terms. A verified course-specific salary range is not currently published. Compare the compensation stated in current vacancies and written offers, including fixed pay, variable pay and any internship stipend.
A commerce or non-IT background can provide useful context for interpreting business data. Data analyst applications also require evidence of relevant skills, such as Excel, SQL, dashboards and clear explanations of findings. Education and experience criteria vary by vacancy.
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.
There is no verified interval between completing placement preparation and receiving interview calls or an offer. For data analyst applications, practise explaining SQL queries, dashboard decisions and business findings; each employer sets its own recruitment process.
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.
The course lists a completion certificate alongside portfolio work. Confirm the completion requirements and certificate details with a counsellor. A course completion certificate documents training; employers assess qualifications, projects and interview performance according to their own criteria.
Fees depend on the batch type (classroom or online) and current offers, and flexible payment options are available. Attend a free demo class first, then get the exact current fee structure by calling or WhatsApping +91 8888809416 — our counsellor will explain fees, batch timings, and placement support in one call.
In job descriptions the terms are used interchangeably — a data analysis course and a data analytics course teach the same core skills: Excel, SQL, dashboards, and interpreting business data. Strictly speaking, data analysis is the activity of examining data, while data analytics is the broader field including tools and processes. This course covers the complete data analysis workflow — from raw data to cleaned datasets to dashboards and business recommendations.
Yes. We run live online data analytics batches with the same trainers, projects, and placement support as classroom batches. Students from across Maharashtra and other states attend online — sessions are live and interactive, with recordings provided for revision. Power BI, MySQL, and Excel all run fine on a normal laptop at home.
Our main centre is in Karve Nagar, Pune, with branches in Hadapsar and Chinchwad (PCMC), plus a Nagpur centre. If you are looking for a data analyst course near you in Pune, pick the nearest branch or join a live online batch. Call +91 8888809416 to check current batch schedules at each location.