With a background in BSc Statistics, I was looking for a practical and industry-focused approach to Data Analytics, and Unisoft Technologies has met my expectations well. The Python training by Arnab Sir is highly effective — his clear explanations and hands-on approach make it easy to connect theoretical concepts with real-world applications. Unisoft offers a structured curriculum, experienced faculty, and a supportive environment.
Become a Certified
Data Analyst
in Nagpur
Nagpur's most complete data analyst & data analytics course — Excel, SQL, Python, Power BI & Tableau with global certification, live projects, internship & 100% placement assistance.* Classroom, online & weekend batches.
Comprehensive Data Analyst & Analytics Course in Nagpur
At Unisoft Technologies, our industry-recognised data analyst course in Nagpur transforms aspiring professionals into experts. Whether you search for a data analytics course in Nagpur, data analyst classes, or data analytics training near you, this is one program with three flexible tracks. Our 3–8 month curriculum covers Advanced Excel, SQL, Python for data manipulation — with a focused module on Data Visualisation using Power BI or Tableau, plus live projects, a 6-week internship, global certification preparation and 100% placement assistance.
5 Core Technologies
6-8 Month Structured Program
Capstone Project + Internship
100% Job Placement Assistance*
Built for Every Background
Whether you're in your final year of college or already working — our Data Analyst program is engineered to launch your data career, regardless of your degree stream.
Commerce → Finance Analytics
Use SQL + Excel + Power BI to land roles in finance, audit, banking and FP&A. Your accounting fundamentals plus modern data tools open senior analyst roles within 2-3 years.
Business → Strategy & Consulting
Combine business strategy with hard data skills. MBA + analytics is the highest-paying combination for management consulting and corporate strategy roles in India.
Tech → Analytics Pivot
Move beyond generic dev work into specialised data roles. Your programming foundation makes Python and SQL trivial — visualisation skills round out a full-stack analyst profile.
Science → Data Science Trajectory
Statistics and maths majors have the strongest fit for data science. Use this program to operationalise your theory with industry tools, real datasets and a portfolio.
Engineering → Cross-Domain Analytics
Computer Science, IT, EE, Mechanical, Civil — every branch is hiring data analysts. Specialise beyond your core to unlock IT, manufacturing and telecom analytics roles.
Economics → Quantitative Research
Econometrics + Python + Tableau makes you a research analyst across consulting firms, think tanks and policy organisations. High-impact, intellectually rigorous careers await.
Switch Lane → Data Career
Already employed but hitting a ceiling? Our weekend and evening batches are designed for working professionals. Upskill on Power BI, SQL and Python alongside your day job.
Fresh Start → Data Analyst
No coding background? No problem. Our Foundation track starts from absolute basics. Career switchers from non-tech backgrounds — teachers, sales, ops — placed every batch.
What You'll Learn in Our Data Analyst Course
Every module is mapped to real job roles. Click any module to expand the topics.
Microsoft Excel — Advanced
Build the spreadsheet fluency every analyst needs — from data cleaning to dynamic dashboards. 30 chapters covering 300+ topics including all 27+ Excel 2024 functions (LAMBDA, GROUPBY, PIVOTBY, TEXTSPLIT, VSTACK and more). Every concept is hands-on with real datasets and case studies.
Excel Fundamentals for Analysts
- Workbook structure, ribbons, custom views
- Cell formatting and conditional formatting
- Data validation rules and dropdowns
- Keyboard shortcuts for analyst speed
- Named ranges and table objects
Advanced Formulas & Functions
- Logical: IF, IFS, AND, OR, IFERROR, SWITCH
- Lookup: VLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH
- Text: CONCAT, TEXTJOIN, TRIM, SUBSTITUTE
- Date/Time: DATEDIF, NETWORKDAYS, EDATE, EOMONTH
- Statistical: COUNTIFS, SUMIFS, AVERAGEIFS, RANK
Pivot Tables & Pivot Charts
- Creating, customising and styling pivot tables
- Calculated fields and calculated items
- Slicers, timelines and value field settings
- GETPIVOTDATA for dynamic reporting
- Pivot charts and dashboard composition
Power Query & Power Pivot
- Importing from CSV, web, SQL, folder, JSON
- Cleaning, shaping and transforming data
- Merging and appending queries (JOIN / UNION)
- Power Pivot for relational data models
- Custom M language functions
Dynamic Arrays & Excel 2024 Functions
- LAMBDA, LET, SEQUENCE, FILTER, SORT, UNIQUE
- GROUPBY, PIVOTBY for in-formula aggregation
- TEXTSPLIT, TEXTBEFORE, TEXTAFTER, REGEX
- VSTACK, HSTACK, CHOOSEROWS, CHOOSECOLS
- MAP, REDUCE, SCAN, MAKEARRAY for array logic
Macros, VBA & Automation
- Recording, editing and securing macros
- VBA editor — variables, loops, conditionals
- Working with ranges, sheets, workbooks
- User forms and event procedures
- Automating recurring reports end-to-end
Statistical Analysis & Forecasting
- Descriptive statistics (Analysis ToolPak)
- Hypothesis testing and correlation analysis
- Linear regression with TREND, FORECAST
- What-if analysis: Goal Seek, Scenarios, Solver
- Forecast Sheet and time-series projections
MO-210 & MO-211 Certification Prep
- MO-210 Excel Associate exam objectives
- MO-211 Excel Expert advanced topics
- Timed mock tests with pattern analysis
- Hands-on lab simulations
- On-site Pearson VUE testing centre
SQL — Oracle AI Database 23.26.1
Master the language databases speak. 180+ hours of live training across 7 modules on Oracle's latest 23ai release — from RDBMS fundamentals to window functions, indexing and the new QUALIFY clause. Prepare for the 1Z0-171 exam, delivered online via Oracle's own Testing Network, with Unisoft handling prep and booking guidance.
SQL Foundations & Oracle Setup
- RDBMS concepts and Oracle architecture
- SQL*Plus and SQL Developer environment
- SELECT, WHERE, ORDER BY mastery
- DISTINCT, NULL handling, ROWNUM usage
- Arithmetic expressions and operator precedence
Single-Row & Group Functions
- Character: UPPER, LOWER, SUBSTR, INSTR, TRIM, LPAD
- Number: ROUND, TRUNC, MOD, CEIL, FLOOR, POWER
- Date: SYSDATE, ADD_MONTHS, MONTHS_BETWEEN, NEXT_DAY
- Conversion: TO_CHAR, TO_DATE, TO_NUMBER, format masks
- NVL, NVL2, NULLIF, COALESCE, DECODE, CASE
- Aggregate: SUM, COUNT, AVG with GROUP BY / HAVING
Joins & Multi-Table Queries
- INNER JOIN — EQUIJOIN and NON-EQUIJOIN
- OUTER JOINs — LEFT, RIGHT, FULL OUTER
- SELF JOIN and CROSS JOIN (Cartesian)
- NATURAL JOIN and USING clause
- ANSI SQL vs Oracle proprietary (+) syntax
Subqueries & Set Operators
- Single-row and multi-row subqueries (ANY, ALL, IN)
- Correlated subqueries with EXISTS / NOT EXISTS
- Scalar subqueries in SELECT, WHERE, HAVING
- Inline views and CTEs (WITH clause)
- QUALIFY clause — new in Oracle 23ai
- UNION, UNION ALL, INTERSECT, MINUS
DDL, DML & Transaction Control
- DDL: CREATE, ALTER, DROP, TRUNCATE, RENAME
- DML: INSERT, UPDATE, DELETE, MERGE
- TCL: COMMIT, ROLLBACK, SAVEPOINT
- Constraints: PK, FK, UNIQUE, NOT NULL, CHECK
- Sequences, synonyms, indexes and views
User Access, Privileges & Security
- CREATE / ALTER / DROP USER in Oracle
- GRANT & REVOKE — system + object privileges
- Role management and default roles
- USER_, ALL_, DBA_ data dictionary views
- Security best practices for production DBs
Window Functions & Optimisation
- ROW_NUMBER, RANK, DENSE_RANK, NTILE
- LEAD, LAG, FIRST_VALUE, LAST_VALUE
- PARTITION BY and ORDER BY in OVER clause
- ROLLUP, CUBE, GROUPING SETS
- EXPLAIN PLAN and execution plan analysis
- Indexing strategies and performance tuning
1Z0-171 Certification Prep
- Timed mock exams & practice tests at Unisoft
- Topic-by-topic revision sheets
- Scenario-based interview question bank
- Oracle 23ai-specific feature coverage
- 1-on-1 doubt resolution sessions
Python for Data Analysis
The programmatic skills that separate junior analysts from senior ones — automation, EDA, and end-to-end pipelines. 11 sub-modules covering 60+ topics spanning Python fundamentals, NumPy, Pandas, data cleaning, EDA, visualisation and SQL integration — the foundation for the data scientist trajectory.
Python Fundamentals & Setup
- Anaconda, Jupyter and VS Code installation
- Variables, data types and type casting
- Operators: arithmetic, logical, comparison
- Control flow: if/elif/else, for, while loops
- String operations and f-string formatting
Data Structures & Comprehensions
- Lists: indexing, slicing, methods
- Tuples: immutability and use cases
- Dictionaries: CRUD, nested dicts
- Sets: union, intersection, difference
- List, dict and set comprehensions
Functions, Modules & Exceptions
- Functions: args, kwargs, default params
- Lambda, map, filter, reduce
- Decorators and closures
- Standard library: os, sys, datetime, math
- Try/except/finally and custom exceptions
NumPy — Numerical Computing
- ndarray creation, shape, reshape, dtype
- Indexing, fancy indexing, boolean masking
- Broadcasting rules and ufuncs
- Statistical ops: mean, median, std, percentiles
- Linear algebra and random generation
Pandas — Data Manipulation
- Series and DataFrame fundamentals
- Data loading: CSV, Excel, JSON, SQL, Parquet
- loc, iloc and query() for selection
- GroupBy, aggregation and pivot tables
- Merge, join, concat operations
- Time series and DateTime handling
Data Cleaning & Preprocessing
- Detecting and handling missing values
- Duplicate detection and removal
- Outlier detection: IQR and Z-Score methods
- String cleaning with regex
- Normalisation and standardisation
Exploratory Data Analysis (EDA)
- EDA framework and methodology
- Univariate, bivariate, multivariate analysis
- Distribution analysis and skewness
- Correlation analysis and heatmaps
- Pattern, trend and anomaly detection
Visualisation — Matplotlib, Seaborn, Plotly
- Matplotlib: figure, axes, subplots
- Line, bar, scatter, histogram, pie charts
- Seaborn: heatmaps, violin, pair, box plots
- Interactive plots with Plotly
- Dashboard design principles
File I/O & Data Sources
- Reading and writing CSV, Excel, JSON
- Web APIs with the requests library
- Web scraping with BeautifulSoup
- Parquet and Feather for fast I/O
- openpyxl for Excel automation
SQL Integration with Python
- SQLite and MySQL with Python connectors
- SQLAlchemy ORM basics
- Reading DB data into DataFrames
- Writing analysis results back to DB
- Parameterised queries and security
Real-World Projects & Portfolio
- Mini-projects: sales, customer, finance, healthcare
- Capstone: end-to-end analytics pipeline
- GitHub portfolio setup
- LinkedIn case study writing
- Stakeholder presentation skills
Data Visualisation — Power BI or Tableau
Tell stories with data — build the dashboards hiring managers ask candidates to recreate. Pick one visualisation tool based on your career goals. Both tracks include certification preparation at our on-site Pearson VUE centre.
Get & Prepare the Data
- Connect to flat files: CSV, Excel, JSON, XML, PDF
- SQL Server, MySQL, Oracle, PostgreSQL, Azure SQL
- Power Query Editor: clean, transform, shape
- Merge (JOIN) and Append (UNION) queries
- Custom M language functions and incremental refresh
Model the Data & Core DAX
- Star schema and snowflake schema design
- Fact tables, dimension tables, calendar tables
- Relationships: cardinality, cross-filter direction
- DAX measures, calculated columns, calculated tables
- CALCULATE, FILTER, ALL, ALLEXCEPT, RELATED
- Time intelligence: TOTALYTD, SAMEPERIODLASTYEAR, DATEADD
Advanced DAX Patterns
- Iterator (X) functions and performance implications
- Table functions: SUMMARIZE, ADDCOLUMNS, TREATAS
- Row context vs filter context, context transition
- Calculation groups and field parameters
- Currency conversion and what-if parameter patterns
- Rolling averages, YTD/QTD/MTD calculations
Visualise & Analyse
- Core visuals: bar, line, pie, scatter, map, matrix
- Advanced: decomposition tree, key influencers, smart narrative
- Slicers, filters, drill-through, drill-down
- Conditional formatting and tooltips
- Mobile-optimised report layouts
- Q&A natural language queries
Deploy, Maintain & Govern
- Publish to Power BI Service (cloud workspace)
- Workspace roles: Admin, Member, Contributor, Viewer
- Scheduled refresh and DirectQuery
- On-Premises Data Gateway setup
- Power BI Apps and deployment pipelines
- Embed in SharePoint, Teams and web apps
Security, RLS & Service Features
- Row-Level Security (RLS) — static and dynamic
- Object-Level Security (OLS) for sensitive columns
- Sensitivity labels with Microsoft Purview
- Power BI Dataflows and Paginated Reports
- Microsoft Fabric and OneLake overview
PL-300 Certification Prep
- Full-length timed mock exams
- Domain-by-domain answer analysis
- Exam strategy and time management
- 5 capstone dashboards: Retail, HR, Finance, Supply Chain, RFM
- On-site Pearson VUE testing
Tableau Foundations
- Tableau Desktop, Public, Server, Online overview
- Workspace: shelves, cards, marks
- Connecting to Excel, CSV, SQL, Oracle
- Dimensions vs measures, discrete vs continuous
- Live connection vs Tableau Extract (.hyper)
Charts & "Show Me" Visualisations
- Bar, line, pie, area, scatter, histogram
- Tree maps, heat maps, bullet charts
- Dual-axis and combo charts
- Geographic maps (Symbol, Filled, Density)
- Show Me — all chart types unlocked
- Visual design best practices
Calculations, Table Calcs & LOD
- Calculated fields: string, date, number functions
- Aggregations: SUM, AVG, COUNTD
- Conditional logic: IF, IIF, CASE
- Quick table calcs: Running Total, % of Total
- LOD expressions: FIXED, INCLUDE, EXCLUDE
- Parameters and analytics pane (trend, forecast)
Dashboards & Storytelling
- Dashboard layout: fixed vs automatic
- Filters: quick, context, sets
- Actions: filter, highlight, URL
- Tooltips, annotations, reference lines
- Mobile and responsive dashboard design
- Story Points for narrative flow
Data Management & Joins
- Data joins: inner, left, right, full outer
- Data blending across multiple sources
- Unions and pivoting data
- Cross-database joins
- Working with large datasets efficiently
- Data Interpreter cleaning techniques
Tableau Certification Prep
- Tableau Desktop Specialist exam pattern
- Tableau Certified Data Analyst syllabus
- Practice exams and mock tests
- Capstone: end-to-end business dashboard
- Publishing to Tableau Public / Server
- Portfolio building for interviews
Capstone Project & Internship
Convert classroom skills into industry credibility — build a portfolio recruiters can verify. 5 sub-phases covering 25+ deliverables, anchored by a 6-week paid internship with Unisoft or one of our partnered startups. By the end, your resume reads like someone with 1+ year of experience.
Capstone Project Selection
- Industry choice: retail, finance, healthcare, e-commerce
- Real dataset acquisition and licensing
- Problem statement definition and scoping
- Project timeline and milestone planning
- Tooling stack confirmation (SQL/Python/PBI/Tableau)
End-to-End Analytics Pipeline
- Data ingestion (SQL, Python, APIs)
- Cleaning, transformation and feature engineering
- Exploratory Data Analysis (EDA) write-up
- Dashboard / report construction
- Stakeholder presentation rehearsal
6-Week Industry Internship
- Placement at Unisoft or partnered startup
- Daily standups with assigned industry mentor
- Weekly sprint reviews and feedback cycles
- Real client deliverables (not training exercises)
- Internship completion certificate + reference letter
GitHub Portfolio & LinkedIn
- GitHub repository setup and best practices
- README writing for analyst portfolios
- LinkedIn case study posts and content cadence
- Personal portfolio site (optional)
- Showcasing 3+ projects to recruiters
Resume, Interview & Career Prep
- ATS-optimised resume writing
- LinkedIn profile rebuild for analyst roles
- 5+ mock interviews with structured feedback
- SQL / Python live coding interview practice
- Behavioural and case-study interview prep
- Direct connects to 200+ hiring partners
Data Analyst Skills You'll Actually Gain
A curriculum only matters if it leaves you with skills employers pay for. Here's the exact map — every module translates into a named, job-ready data analyst skill and why recruiters value it.
Data Cleaning & Wrangling
Analysts spend up to 80% of their time preparing messy data. It's the first skill every employer screens for — and the one that makes every later step possible.
SQL Querying & Joins
SQL is non-negotiable — it appears in nearly every data analyst job description. Pulling, joining and aggregating data from databases is the day-one skill recruiters test live.
Statistical Analysis
Knowing averages, distributions, correlation and hypothesis testing is what separates a chart-maker from an analyst who can defend a recommendation to leadership.
Data Visualisation & Dashboards
Interactive Power BI / Tableau dashboards are the deliverable hiring managers ask you to recreate in interviews. Visualisation is how your analysis reaches decision-makers.
Python for Data Automation
Pandas, NumPy and scripting turn hours of manual reporting into a one-click job. Python is the skill that future-proofs your career toward senior and data-science roles.
Business & Domain Acumen
Numbers mean nothing without context. Framing the right business question and translating data into ₹ impact is the skill that gets analysts promoted to BI & strategy roles.
Data Storytelling & Communication
A dashboard nobody understands is wasted work. Presenting insights clearly to non-technical stakeholders is a top-cited skill in analyst job postings — and we drill it in mocks.
Advanced Excel & Spreadsheet Modelling
Excel is still the universal business tool. Pivot tables, Power Query, dynamic dashboards and modelling are tested in almost every entry-level analyst and MIS interview.
Industry-Standard Tools You'll Master
Power BI or Tableau — Which Should You Pick?
Both tools are world-class. Your choice depends on the industry you're targeting, learning style and the kind of analyst career you want to build.
| Criterion | Power BI | Tableau |
|---|---|---|
| Best For | Microsoft-stack companies, finance teams, corporate BI roles | Visualisation-heavy work, analytics consultancies, agencies |
| Learning Curve | Easy — DAX is the only steep part | Moderate — drag-drop is intuitive; LOD takes time |
| Industry Adoption (India) | Very high — corporates default to Power BI | High — preferred by analytics consultancies and global firms |
| Salary Impact (Nagpur) | ₹4L – ₹12L per year | ₹4L – ₹14L per year |
| Free Tier | Power BI Desktop is free; Service requires a license | Tableau Public is free; Desktop is paid |
| Certification | PL-300 (Microsoft Power BI Data Analyst Associate) | Tableau Desktop Specialist (Salesforce) |
| Verdict | Pick if: you want broader job count and ecosystem fit with Microsoft 365. | Pick if: you love visualisation craft and want consulting-style roles. |
Why Learn Data Analytics with Unisoft?
25+ Years of Training Excellence
Live Mentor-Led Batches
Flexible Learning Options
Capstone + Internship Letter
Placement Cell & Recruiter Connects
Pearson VUE Certified Exam Centre
Meet Our Industry Experts
Senior architects. Industry-fresh specialists. One unified curriculum — designed by our CTO Saurabh Joshi and delivered by his hand-picked, mentored team.
Saurabh Joshi
Renu Nair
Raina Nair
Arnab Banerjee
Vaibhavi Petkar
Akshay Kalloo
Senior architects. Industry-fresh specialists. One unified curriculum.
Every trainer at Unisoft follows the curriculum designed by our CTO Saurabh Joshi and is personally mentored by him for 6+ months before independently delivering a batch. Junior trainers focus on a single specialised subject — meaning they know that topic cold, often more current with the latest tool versions and 2026 interview patterns than any generalist would be. The model mirrors how IIT, IIM and IIT-Bombay operate: senior faculty design courses; specialised assistant professors deliver them.
Senior-Architected
Saurabh Joshi (16+ yrs · Oracle OCP DBA · OCA-SQL · MO-211) personally designs every module's syllabus, exercises, certification path and quality bar.
Specialist Delivery
Each subject has a dedicated trainer who teaches only that one subject — 100% depth on Python, SQL or Power BI instead of 80% across five subjects.
Industry-Fresh
Junior trainers were on the receiving end of analyst interviews 18 months ago — they know the exact questions Infosys, TCS and Persistent are asking this year.
* Classes are conducted by certified faculty subject to availability.
How to Become a Data Analyst — From Day 1 to Day 240
Eight milestones. Four phases. Six to eight months. This is the exact path our 80,000+ alumni have walked — engineered to take you from "where do I start?" to your first offer letter.
Pick Your Path
Start by choosing your track based on background, time available and career goals. Foundation suits B.Com freshers and career switchers. Pro is the flagship for graduates. Advanced is for science and engineering grads chasing data science.
- Free counselling session with academic advisor
- Background, goals and constraints assessment
- Personalised track selection — Foundation, Pro or Advanced
- Batch slot booking and orientation
Master Microsoft Excel
Excel is still the lingua franca of business analytics in India. Master far beyond formulas — Power Query, dynamic dashboards, VBA basics, and the statistical analysis tooling most analyst interviews still test.
- Advanced formulas — XLOOKUP, INDEX-MATCH, IFS, dynamic arrays
- Pivot tables, slicers and cross-filtered dashboards
- Power Query for cleaning, merging and shaping data
- MO-210 and MO-211 certification readiness
Become Fluent in SQL
SQL is non-negotiable for data analysts. You'll learn Oracle SQL deeply — queries, joins, window functions, query optimisation — and prepare for the 1Z0-171 exam, delivered online via Oracle's own Testing Network, with booking guidance from Unisoft.
- SELECT, WHERE, ORDER BY, GROUP BY mastery
- Inner, outer, cross and self joins
- Window functions (RANK, ROW_NUMBER, LAG/LEAD)
- Stored procedures, indexing and 1Z0-171 prep
Add Python for Data Analysis
Python opens automation, data science and the senior analyst trajectory. Pandas, NumPy and the visualisation libraries become daily tools — and the foundation for the Advanced track.
- Python basics, data structures and control flow
- NumPy arrays and vectorised operations
- Pandas — DataFrames, wrangling, EDA
- Matplotlib and Seaborn for static visualisation
Specialise in Power BI or Tableau
Now pick your visualisation tool using the decision matrix above. You'll build expert-level interactive dashboards — the exact deliverable hiring managers ask candidates to recreate during interviews.
- Power BI Desktop + DAX, OR Tableau + LOD expressions
- Data modelling, relationships and measures
- Interactive dashboards with drill-down and slicers
- PL-300 or Tableau Desktop Specialist preparation
Build Your Project Portfolio
Recruiters want proof, not promises. You'll build three end-to-end analytics projects across different industries and publish them — GitHub, LinkedIn, and a personal portfolio site we help you set up.
- Project 1 — Sales analytics dashboard with forecasting
- Project 2 — Customer churn EDA in Python
- Project 3 — Capstone with full data pipeline
- GitHub, LinkedIn case studies and portfolio page
Complete Industry Internship
Apply your skills to real business problems with a partnered company. The six-week internship gives you the "1+ year experience" most entry-level postings ask for — before you've even applied for your first job.
- 6-week internship with assigned industry mentor
- Real client / partnered startup project
- Daily standups, weekly reviews, sprint demos
- Internship completion certificate and reference letter
Land Your First Role
We don't stop at training. Resume building, LinkedIn revamp, mock interviews, recruiter connects, aptitude prep — we run this loop with you until there's an offer letter in your inbox.
- ATS-optimised resume + LinkedIn profile rebuild
- 5+ mock interviews with structured feedback
- Direct connects with 200+ hiring partners
- Aptitude tests and case-study practice rounds
Welcome to your data career.
By month 8, you're not just job-ready — you're hired. Eight months ago you couldn't write a SELECT statement; today you're a Data Analyst with a real internship, three portfolio projects and an offer letter on the table.
Where Our Data Analysts Get Hired
Data Analyst / MIS Executive
Business Intelligence Analyst
Power BI / Tableau Developer
Junior Data Scientist
Database Administrator
Data Analyst vs Data Scientist vs BI Analyst
Three closely-related roles, three different career arcs. Here's how they really differ — so you can pick the path that fits your strengths and ambition.
Data Analyst
- Primary ToolsExcel, SQL, Power BI / Tableau, Python (basics)
- FocusReports, dashboards, descriptive analytics, storytelling with data
- Salary (Nagpur)₹3.5L – ₹12L per year
- Experience0 – 4 years
- Best Fit BackgroundB.Com, BBA, BCA, B.Sc, BE — any stream
- Career TrajectorySenior Analyst → BI Lead → Analytics Manager
Data Scientist
- Primary ToolsPython, R, scikit-learn, TensorFlow, advanced SQL
- FocusPredictive models, machine learning, A/B testing, forecasting
- Salary (Nagpur)₹6L – ₹22L per year
- Experience2 – 8 years (often after an analyst stint)
- Best Fit BackgroundB.Sc Stats / Maths, B.Tech CS, MCA — strong stats helps
- Career TrajectorySenior DS → Lead DS → Head of Data Science
BI Analyst
- Primary ToolsPower BI / Tableau, SQL, DAX, Excel, MDX
- FocusEnterprise dashboards, KPIs, executive reporting, governance
- Salary (Nagpur)₹4L – ₹14L per year
- Experience1 – 6 years
- Best Fit BackgroundBBA, MBA, B.Com, BCA — business-savvy candidates
- Career TrajectorySenior BI → BI Manager → Director of BI
Still deciding between Data Analyst and Data Scientist as a career?
Read the Full Data Analyst vs Data Scientist GuideTrusted by Students Across Vidarbha & Beyond
Located in Dharampeth, Nagpur — the geographic and academic heart of Vidarbha — Unisoft Technologies attracts data analytics learners from every district of the region, and across India through online cohorts.
The Dharampeth campus is walking distance from Sitabuldi and Civil Lines, with easy auto / bus access from Mahal, Itwari, Pratap Nagar and Sadar. Out-of-town students from Wardha and Amravati typically attend the weekend hybrid track or online live cohorts.
Related Courses in Data Analytics
Our Data Analyst program includes specialised training in several tools widely used across the industry.
Hear From Our Students
Real, verified Google reviews — written by current and recently-completed students of our Data Analytics program.
I recently enrolled in the Data Analytics course at Unisoft Technologies. I am currently learning Python under Arnab Sir, whose teaching style is clear, practical, and highly supportive for beginners. Coming from Ambazari, Nagpur, I chose this institute because of its strong reputation in IT training. I was also referred by my sister, who previously completed her .NET training here. Unisoft provides good guidance and a well-organised learning environment.
I spent almost 8 months at Unisoft Technologies, and my overall experience was excellent. The syllabus is up-to-date with current industry standards. I enrolled in the Data Analytics course, where I was mentored by Akshay Chichghare Sir for SQL, Python and Excel — he is highly dedicated and truly second to none. His guidance helped us build strong projects. I also learned Power BI from Akshay Kallo Sir — he ensures no student is left behind.
Unisoft Technologies has honestly been such a good experience for learning Data Analytics. The trainers actually explain concepts in a simple way and help you until you fully get it. We also worked on real projects, which boosted my confidence a lot. The environment is supportive, and the team is always ready to guide you. If you're serious about starting a career in data analytics, I'd definitely recommend Unisoft!
The Data Science course at Unisoft Technologies is amazing! We 4 friends in a batch learned everything from Python and Statistics to Machine Learning and AI tools. Faculty members simplify even the toughest topics. What I loved most was the mentoring sessions that helped me build a real analytics portfolio.
Where Our Data Analysts Work Now
Skeptical about placement claims? Good — you should be. So we don't ask you to trust us. Here are real Unisoft alumni from our Data Analytics & SQL tracks, each with a verifiable LinkedIn profile you can check yourself.
A curated glimpse of our recent Data Analytics & SQL alumni — not our complete history or total numbers. Shared publicly with each student's explicit consent. Unisoft provides placement assistance, not a guarantee — outcomes depend on individual performance and market conditions.
Walk Out with a Globally Recognised Certification
Unisoft is one of Nagpur's longest-running Pearson VUE Authorised Test Centres — operating since 2010. We don't just train you for global certifications from Microsoft, Oracle, Salesforce and the Python Institute — we let you sit for them right here at our Dharampeth campus.
Oracle AI Database SQL Certified Associate
MOS: Excel Associate (Microsoft 365 Apps)
MOS: Excel Expert (Microsoft 365 Apps)
Power BI Data Analyst Associate
Certified Associate Data Analyst with Python
Salesforce Certified Tableau Data Analyst
How You Get Certified at Unisoft
From your first Excel formula to a globally recognised cert hanging on your LinkedIn — handled end-to-end at our Dharampeth campus. No running between coaching, practice and exam centres.
Master the Syllabus
Complete the relevant Data Analyst track. Every module is mapped to a certification's objectives — not just our internal curriculum.
Mock Tests & Practice
Topic-wise quizzes followed by 3-5 full-length timed mocks. We don't book your real attempt until you're scoring 80%+ on simulated papers.
Book Your Slot
Counsellor reserves your exam slot — Pearson VUE, Certiport, OpenEDG or Oracle TN as the cert requires. No external test-centre running around.
Pass & Add to LinkedIn
Sit for the exam at our campus. Digital certificate & Credly badge arrive in 24-48 hrs — add it to LinkedIn, resume and your portfolio site the same day.
Why a Global Cert Multiplies Your Resume
Certifications are how recruiters quickly separate "I know SQL" from "I can prove I know SQL" — at scale, across cities and continents. Here's what a Microsoft / Oracle / Tableau / Python cert actually does for your career.
Globally Recognised
Microsoft, Oracle, Salesforce and Python Institute certs are accepted in every IT hiring market — Bangalore, Pune, Dubai, Toronto, Singapore.
Salary Boost
Industry data consistently shows certified data analysts earn 25-40% more than uncertified peers in the same role. Many MNCs run cert-tied bonus structures.
Recruiter Confidence
LinkedIn data shows certified profiles get up to 6× more recruiter views. The credential removes the trust gap — no need to argue you know SQL; the cert proves it.
Interview Edge
Cert-aligned prep means you've already answered the exact question-format interviewers use. PL-300 candidates ace Power BI rounds; OCA holders ace SQL screening.
Choose Your Learning Path
Select the track that fits your goals and background. All tracks include placement assistance.*
Excel + SQL Track
Full Data Analyst Program
Data Science & ML Track
* EMI duration varies by track — ₹5,000/month is the minimum starting plan, subject to financier eligibility and approved tenure. Counsellor will share the exact plan during enrolment.
Frequently Asked Questions
Who can enrol in this Data Analyst course?
What is the difference between a data analyst course and a data analytics course?
Is there a data analyst course near me in Nagpur?
Do you offer data analyst classes on weekends and online?
What tools are covered in the Data Analyst program?
What skills will I gain to become a data analyst?
Is the internship experience included?
Do you offer placement support?
What makes this data analytics course in Nagpur unique?
Are batches available on weekends?
How long does the Data Analyst course in Nagpur take?
What are the fees for the Data Analyst course at Unisoft?
Is data analytics a good career in Nagpur and Vidarbha?
Can a B.Com / MBA / BCA student become a data analyst?
What is the average data analyst salary in Nagpur?
Is data analyst a hard job?
Can I become a data analyst in 3 months?
Is Python compulsory for data analysts?
Do I need a maths or statistics background to enrol?
What is the difference between a data analyst and a data scientist?
Power BI or Tableau — which should I learn first?
Which global certifications can I sit for at Unisoft?
Why do some Unisoft trainers have fewer years of experience than Saurabh sir?
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Located in Dharampeth — one of Nagpur's most trusted IT training institutes for Data Analytics, SQL, Python and Power BI.
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Related reading
Power BI vs Tableau: which should you learn first? — licensing, DAX against LOD expressions, and which one employers in Nagpur actually ask for.
Data analyst vs business analyst: which role is actually for you? — why the pay gap is real but mostly buys a different job.
Java vs Python for freshers: which should you learn first? — what actually decides a fresher’s first salary in India.