Data Analyst Course in Nagpur — Job-Ready Training and Placement Preparation
Six months of hands-on training in Advanced Excel, SQL, Power BI or Tableau, Python and applied statistics, plus a month of corporate grooming. Classroom, online and weekend batches in Nagpur.
None. The course opens with SQL and Excel and introduces Python gradually.
Certification
Techtonic Lab completion certificate, plus guidance towards Microsoft PL-300
Placement support
Yes — assistance, not a guarantee
Language
English, with Hindi and Marathi explanation on request
Campuses
Somalwada and Jaitala Road, Nagpur
Who it is for
Who is the Data Analytics course for?
Three groups enrol in every batch. If you do not see yourself here, say so on the call and we will tell you honestly whether this is the right route.
College students
In your final year and want a skill that gets interviews rather than another certificate on a resume. Weekend and evening batches mean you do not have to choose between this and your degree. You leave with an end-to-end project on GitHub, which matters far more to a hiring manager than your marks.
Fresh graduates
Graduated in commerce, science, engineering or arts, and analytics is the fastest route into a technical role that does not demand a computer-science degree. This is the single largest group in every batch, and the Excel-and-SQL-first sequence exists specifically for them.
Working professionals
Already pulling reports, maintaining sheets or raising tickets, and want the title and the salary that go with doing it properly. The weekend batch runs the same syllabus with the same faculty, so nothing about it is a lighter version.
Curriculum
What you will actually build, module by module
7 modules across 6 months. Every module lists the topics, the tools and the thing you finish with.
What data and data analytics are, and the global scope
Analytics across domains, and the BI landscape
Understanding stakeholder vision and asking effective questions
Data Analyst vs Business Analyst, and the analyst road map
Types and methods of data analysis, and the analysis process
Tools
—
You finish with
Frame a real business question and design the analysis around it
02
SQL and databases
Weeks 3–7
Topics covered
DBMS vs RDBMS, MySQL setup, DDL/DML/DQL/TCL/DCL
Constraints, keys, operators and set operators
All join types, subqueries and correlated subqueries
CTEs, recursive CTEs, and window functions (rank, lead/lag, running totals)
Stored procedures, functions, views, cursors and triggers
Data modelling, ER diagrams and normalisation (1NF–BCNF)
Tools
MySQL
MySQL Workbench
You finish with
Answer a set of business questions against a normalised retail database
03
Power BI and Tableau
Weeks 8–12
Topics covered
Power Query editor, connections and transformations
Full visual library, data modelling and relationships
DAX: aggregation, filter, relationship, date and time-intelligence functions
Report filters, drill-through, row-level security and publishing
Tableau: connections, in-built and advanced charts, calculations and filters
Tools
Microsoft Power BI
Tableau Desktop
You finish with
Build a stakeholder-ready executive dashboard and present it live
04
Python for data analysis
Weeks 13–16
Topics covered
Python fundamentals, data structures, loops and functions
Exception handling, classes and objects
NumPy arrays, broadcasting and universal functions
pandas for reading, cleaning and manipulating data
Matplotlib and Seaborn for statistical and exploratory plots
Tools
Python
pandas
NumPy
Jupyter
You finish with
End-to-end exploratory analysis of a public dataset, written up as a notebook
05
Applied statistics
Weeks 17–19
Topics covered
Descriptive and inferential statistics
Population vs sample, variables and distributions
Hypothesis testing, Type I and Type II errors
T-test, ANOVA and Chi-square
Covariance and correlation
Tools
Python
Excel
You finish with
Design and evaluate a hypothesis test on a real dataset
06
Advanced Excel
Weeks 20–22
Topics covered
Lookup family — VLOOKUP, HLOOKUP, XLOOKUP, INDEX/MATCH, OFFSET
Data validation, PivotTables and slicers
Dashboard creation and formatting
Power Query and Power Pivot
Macros and VBA — subs, ranges, conditions and loops
Tools
Microsoft Excel
Power Query
VBA
You finish with
Build an interactive Excel dashboard from a raw export
07
Cloud bonus, capstone and corporate grooming
Month 6
Topics covered
Introduction to cloud services (AWS / Azure)
End-to-end capstone project
Resume and LinkedIn rebuild, GitHub portfolio
Three recorded mock interviews and aptitude practice
Salary negotiation
Tools
AWS / Azure
GitHub
LinkedIn
You finish with
A defended end-to-end capstone with written feedback
Portfolio
Four projects, not forty exercises
Each one is documented, reviewed and defended out loud. A hiring manager reads projects far more closely than a certificate.
01
Retail sales performance dashboard
Clean a messy multi-region sales export, model it, and build a Power BI dashboard a regional manager could actually run a meeting from.
Tools
Power Query, Power BI, DAX
Dataset
Synthetic retail transactions, 40k rows
02
Customer churn exploration
Work out which customers leave and why, using SQL to segment and Python to visualise. Ends in a written recommendation, not just a chart.
Tools
MySQL, Python, pandas
Dataset
Telecom churn, public
03
Statistical analysis report
Read a dataset properly — sample, significance, and the honest answer when the result is inconclusive.
Tools
Python, Excel
Dataset
Public survey data
04
End-to-end capstone
Take one problem from raw data through SQL, Python, statistics and a Power BI dashboard, documented and defended.
Tools
MySQL, Python, Power BI
Dataset
Your choice, guided
Careers
Where this course leads
Indicative salary bands for Nagpur and the wider Vidarbha region. These are market observations, not offers — and they move with your project quality far more than with your marks.
Roles and indicative salary ranges after the Data Analytics course
Role
Entry level
2–4 years
Data Analyst
₹3.0L – ₹4.5L
₹6L – ₹9L
Business Analyst
₹3.5L – ₹5L
₹7L – ₹11L
Reporting Analyst
₹2.8L – ₹4L
₹5L – ₹8L
Power BI Developer
₹3.5L – ₹5L
₹7L – ₹12L
Who teaches it
Faculty for the Data Analytics course
The people who will actually be in the room, named, with the years behind each of them.
Faculty — Data Analytics & Data Science · 12+ years
Over a decade across data, business intelligence and corporate strategy. Runs the Data Analytics and Data Science tracks — from SQL, Power BI and statistics through Python, machine learning and applied AI — and mentors every learner through their capstone project.
Batch schedule
When the next intakes start
Published in advance so you can plan around a notice period or a semester.
If yours is not here, WhatsApp it to us. We answer within the hour on working days.
How long is the data analyst course at Techtonic Lab?
The Data Analyst course runs for 6 months, covering SQL, Power BI or Tableau, Python, statistics and Advanced Excel, and ending with a cloud bonus module, an end-to-end capstone and a month of corporate grooming. Classroom, online and weekend batches all cover the same syllabus with the same faculty.
Do I need coding experience to join the data analyst course?
No coding background is required. The course begins with SQL and Excel, then introduces Python at a beginner-friendly pace. Learners from commerce and arts backgrounds complete the programme in every batch.
What is the fee for the data analyst course in Nagpur?
The fee is ₹49,999 for the complete six-month programme. A no-cost EMI is available at roughly ₹8,334 per month over six months. The fee includes all learning material, project datasets, the corporate grooming month and placement preparation. There is no separate registration, examination or certificate charge.
Which tools will I learn in the data analyst course?
SQL on MySQL, Microsoft Power BI and Tableau, Python with pandas and NumPy, and Advanced Excel including Power Query and VBA. Applied statistics runs alongside them, plus an introduction to AWS or Azure as a bonus module.
Does Techtonic Lab offer placement assistance for data analysts?
Yes. The programme includes a resume and LinkedIn rebuild, three recorded mock interviews with written feedback, aptitude practice and referrals to hiring contacts. Techtonic Lab provides placement assistance, not a placement guarantee.
What salary can a data analyst expect in Nagpur?
Entry-level data analyst roles in Nagpur and the wider Vidarbha region typically start between ₹3.0 lakh and ₹4.5 lakh per year, moving to ₹6 lakh and above with two to three years of experience. Roles with Power BI or SQL depth tend to sit at the upper end of that band.
Is a data analyst course hard to learn?
It is demanding but not mathematically hard. The real difficulty is consistency — around 6 to 8 hours of practice a week outside class. The concepts are business logic rather than advanced mathematics.
Can I attend the data analyst course online from outside Nagpur?
Yes. The fully online live batch runs the same syllabus, faculty and project reviews as the classroom batch. Students from Wardha, Bhandara, Chandrapur, Amravati and across Vidarbha attend either online or in the weekend classroom batch.
How many projects will I build?
Several across the six months, culminating in an end-to-end capstone documented on GitHub and defended in a review session. A hiring manager reads projects far more closely than a certificate.
When does the next data analytics batch start?
The next Data Analytics batch begins on 18 August 2026, with classroom, online and weekend options. Batch dates for the rest of the year are published on the batches page.
Enquire
Ask about the Data Analytics course
We call within four business hours, Monday to Saturday. No sales script — if a different route suits your background better, we will say so.
Next batch starts 21 September 2026 · Classroom / Online / Weekend
Explore other courses
The other two tracks
The same all-inclusive shape and grooming month, each with its own length and fee. Different destination — pick where you want to end up.