01✓
Excel
Formulas, pivot tables, Goal Seek, Solver and large dataset handling.
Data Analytics Course in Hyderabad — Excel, SQL, Python, Power BI
The data analytics course in Hyderabad at Data Analytics Masters is three months of instructor-led training in Excel, SQL, Python, Power BI, Tableau and Alteryx, with statistics, data wrangling and real business case studies. Sixteen modules and five projects, taught live by a certified trainer with 9+ years of experience, as classroom batches near JNTU or live online.
Course snapshot
Duration3 months
ModeClassroom + live online
Modules16 modules, 14 tools
LevelBeginner friendly, any degree
TrainerMs. Shaheda Tabassum, 9+ years
LocationNear JNTU Metro, Hyderabad
- Live instructor-led
- Classroom near JNTU + online
- Excel, SQL, Python, Power BI, Tableau
- 5 real business projects
- Lifetime access to recordings
- Placement assistance
16Curriculum modules
14Tools and technologies
3Months of live training
5Real business projects
At a glance
Data Analytics Course in Hyderabad — Quick Facts
Everything a prospective learner asks a counsellor in the first two minutes.
Course
Data Analytics Course in Hyderabad
Location
Near JNTU Metro Station, Hyderabad
Training mode
Classroom + live online + corporate
Duration
3 months
Classroom fee
₹30,000
Online fee
₹27,000
Corporate training
₹19,999, customised syllabus
Curriculum
16 modules, 14 tools, 5 projects
Key tools
Excel, SQL, Python, Power BI, Tableau, Alteryx
Trainer
Ms. Shaheda Tabassum, 9+ years
Session time
Weekday and weekend batches
Prerequisites
None. Any degree. No coding background needed.
Career outcomes
Placement support and career outcomes
What we do, stated plainly, and what we do not claim.
Resume and portfolio review
Your CV is rebuilt around the five projects you actually delivered, using the terms analytics recruiters screen for.
Mock interviews
SQL and Python technical rounds, plus the case round every analyst interview uses: here is a dataset, what would you check first?
GitHub portfolio setup
Your projects hosted publicly, so a recruiter can see your work rather than take your word for it.
LinkedIn optimisation
Headline, skills and project section, so recruiter search actually surfaces you for analyst roles.
Internship option
An internship option is available with the classroom programme, based on your completed project work.
What we don't promise
No job guarantee, no guaranteed salary, no placement percentage. Any institute quoting those numbers cannot evidence them either.
Companies hiring data analysts in Hyderabad
These are employers advertising data analyst and BI roles in the Hyderabad market. We prepare you for their interview process. We are not claiming a hiring partnership with them.
TCS
Infosys
Wipro
Cognizant
Deloitte
Accenture
Capgemini
HCLTech
Tech Mahindra
LTIMindtree
Amazon
Genpact
Why choose us
Why choose this data analytics course in Hyderabad
Every reason below is something you can verify before you pay.
Our data analytics course in Hyderabad is built around the tools employers actually list: Excel, SQL, Python, Power BI and Tableau. You work with real datasets from the second module, not tidy textbook tables.
Sixteen modules cover data handling and cleaning, Python with Pandas and NumPy, Excel through to Solver and What-If analysis, SQL through to window functions and CTEs, both major BI tools, Alteryx automation, statistics and data wrangling.
It finishes with five business projects — e-commerce sales, customer segmentation, healthcare, finance automation and a full capstone dashboard — plus resume, GitHub and mock interview preparation.
SQL taught to interview depth
Two modules, through window functions and CTEs. SQL is the most-tested skill in analyst interviews and the one most courses undercook.
Modules 7 and 8Both Power BI and Tableau
Hyderabad employers are split between the two. Learning both means a job description naming either does not filter you out.
Modules 9 and 10Excel taken seriously
Two modules including Goal Seek, Solver and large dataset handling. Excel is what your first job will ask about on day one.
Modules 5 and 6Python from installation
Taught from zero for people who have never coded, then through Pandas and NumPy to real analysis.
Modules 3 and 4Alteryx included
Workflow automation that very few fresher CVs in this market carry. A genuine differentiator.
Module 11Statistics, not just charts
Distributions, probability and hypothesis testing, so you do not present conclusions the data cannot support.
Module 12Real business case studies
E-commerce, healthcare, finance and customer segmentation, using messy realistic data.
Module 14Named trainer, 9+ years
Ms. Shaheda Tabassum teaches the batches. You can ask about her background before you enrol.
Certified trainerLifetime recording access
Live sessions are recorded and stay available, so revision does not depend on your notes.
IncludedGitHub portfolio built
Your projects hosted publicly, so recruiters can see the work instead of reading a claim.
Career moduleAny degree accepted
B.Com, BBA, BA and B.Sc backgrounds do this course successfully every batch.
No prerequisitesEMI options available
Classroom and online fees can be paid in instalments. Ask a counsellor what applies.
Flexible paymentCourse curriculum
Data Analytics Course Syllabus — 16 Modules
Sixteen modules that follow the path from raw messy data to a dashboard someone acts on. Expand any module to see the topics, the lab and the outcome.
01Introduction to Data Analytics
What the job actually is, before any tool.
You will cover
- What data analytics is
- Descriptive and diagnostic
- Predictive and prescriptive
- Real business applications
02Data Handling and Preprocessing
Most analyst time goes here, not on the charts.
You will cover
- Data types and structures
- Collection techniques
- Handling missing data
- Cleaning and transformation
03Python Programming Fundamentals
Python from zero, for people who have never coded.
You will cover
- Installing Python
- Jupyter Notebook
- Variables and data types
- Loops, functions, files
04Python for Data Analytics
Where Python starts doing real analytical work.
You will cover
- NumPy arrays
- Pandas DataFrames
- Regular expressions
- Data manipulation
05Excel for Data Analysis
Still the most-used analytics tool in Indian offices.
You will cover
- Formulas and functions
- Sorting and filtering
- Pivot tables
- Charts and reporting
06Advanced Excel Analytics
Excel past the point most people stop.
You will cover
- Goal Seek and Solver
- What-If Analysis
- Large dataset handling
- Flash Fill and Text-to-Columns
07SQL Fundamentals
The single most-tested skill in data analyst interviews.
You will cover
- Databases and setup
- SELECT, FROM, WHERE
- Filtering and sorting
- Joins and grouping
08Advanced SQL for Analytics
The queries that separate an analyst from a report puller.
You will cover
- Window functions
- ROW_NUMBER, RANK, DENSE_RANK
- CTEs and WITH queries
- Transactions and updates
09Tableau and Power BI Fundamentals
Turning analysis into something a manager will read.
You will cover
- Connecting data sources
- Bar, line and pie charts
- Heat maps
- Dashboard basics
10Advanced Tableau and Power BI
Where dashboards become genuinely useful.
You will cover
- Data blending
- Joins and relationships
- Calculated fields and DAX
- LOD expressions
11Alteryx for Data Automation
Repeatable workflows instead of manual rework.
You will cover
- Alteryx Designer
- Input and output tools
- Filter, sort and formula
- Workflow automation
12Statistics for Data Analytics
The reasoning behind the numbers you present.
You will cover
- Mean, median, mode
- Variance and standard deviation
- Probability
- Hypothesis testing
13Data Wrangling and Preprocessing
Production-grade data preparation.
You will cover
- Pandas and NumPy structures
- Merge, join, groupby
- Aggregation
- Feature preparation
14Real-Time Case Studies
Industry problems, using industry data.
You will cover
- E-commerce sales analysis
- Healthcare analytics
- Finance analytics
- Customer segmentation
15Capstone Projects
End-to-end builds you keep and present.
You will cover
- Problem framing
- Cleaning and analysis
- Dashboard delivery
- Findings presentation
16Career Support and Placement Preparation
Turning the skills into an offer.
You will cover
- Resume building
- LinkedIn optimisation
- GitHub portfolio
- SQL and Python interview practice
Tools covered
Data analytics tools you will learn
Each tool, what it does, and where it shows up in the modules and projects.
| Tool | Purpose | Where you use it |
|---|---|---|
| Microsoft Excel | Cleaning, analysis and reporting | Modules 5 and 6, and every project |
| SQL | Querying and managing databases | Modules 7 and 8 |
| MySQL | Relational database system | SQL practice and projects |
| PostgreSQL | Relational database system | Advanced SQL work |
| Python | Analysis, automation and large datasets | Modules 3, 4 and 13 |
| Pandas | DataFrames and data manipulation | Python analytics work |
| NumPy | Numerical arrays and computation | Python analytics work |
| Jupyter Notebook | Writing and running analysis code | All Python modules |
| Power BI | Interactive dashboards and DAX | Modules 9 and 10 |
| Tableau | Visualisation and business reporting | Modules 9 and 10 |
| Alteryx | Data preparation and workflow automation | Module 11 |
| Statistics | Distributions, testing and inference | Module 12 |
| Git and GitHub | Portfolio hosting and version control | Career module |
| Google Sheets | Collaborative analysis and reporting | Excel module |
Skills you will master
Data analytics skills you will learn
Twelve concrete capabilities you walk out with, aligned to what analytics recruiters screen for.
02✓
SQL
Joins, grouping, subqueries and the window functions interviews test.
03✓
Python
Pandas and NumPy for cleaning, transforming and analysing data.
04✓
Power BI
Data modelling, DAX measures and interactive dashboards.
05✓
Tableau
Calculated fields, LOD expressions and business reporting.
06✓
Data cleaning
Missing values, duplicates, types and outliers, handled defensibly.
07✓
Data wrangling
Merging, joining and aggregating multiple sources into one table.
08✓
Statistics
Descriptive measures, probability and hypothesis testing.
09✓
Dashboard design
Building views a manager can read without a walkthrough.
10✓
Alteryx
Repeatable data preparation workflows instead of manual rework.
11✓
Business framing
Turning a vague business question into an analysable one.
12✓
Presenting findings
Explaining what the data says, and what it does not.
Real projects
Data analytics projects you will build
Five projects on realistic business data. Each one is written the way you would describe it to an interviewer.
E-commerce sales analysis
- Problem
- sales are up but margin is down and nobody knows which products are responsible.
- Flow
- raw order data → cleaning → category and cohort analysis → margin dashboard.
- Outcome
- the project type most commonly asked about in analyst interviews.
ExcelSQLPower BI
Customer segmentation
- Problem
- marketing treats every customer the same and the campaigns underperform.
- Flow
- purchase history → RFM scoring → segment profiling → recommendation summary.
- Outcome
- you can explain a segmentation method rather than naming one.
PythonPandasTableau
Healthcare analytics
- Problem
- appointment no-shows are costing clinic capacity.
- Flow
- patient and appointment data → cleaning → driver analysis → operational dashboard.
- Outcome
- domain analysis on messy real-world data.
PythonSQLPower BI
Finance analytics
- Problem
- monthly reporting takes four days of manual work.
- Flow
- source consolidation → automated preparation → variance analysis → refreshable report.
- Outcome
- automation, which is what actually gets an analyst promoted.
ExcelAlteryxPower BI
Capstone dashboard
- Problem
- one business question, taken from raw data to a presented answer.
- Flow
- problem framing → cleaning → analysis → dashboard → findings presentation.
- Outcome
- the portfolio piece you walk an interviewer through line by line.
SQLPythonTableau
Audience01 02 03 04 05 06 07 +
Who can join this data analytics course?
Suitable for a wide range of learners. No prior coding or analytics experience is required.
Freshers and graduates
Any degree. The course starts at what data analytics is and teaches Excel, SQL and Python from zero.
Non-IT graduates
B.Com, BBA, BA and B.Sc backgrounds do well here. Excel and SQL reward logic, not a coding background.
Working professionals
Weekend and evening batches so you can switch careers without leaving your job.
Excel users
You already do half of this manually. SQL and Power BI turn that into a role.
Support and operations staff
Reporting work you already do, formalised into an analyst skill set.
Sales and marketing teams
Campaign and customer analysis, done properly rather than by intuition.
Career switchers
Data analytics is one of the more accessible entries into a technical career.
Future data analysts
Ready to move from spreadsheets you maintain by hand to analysis a business acts on? This is the on-ramp.
Your path01 02 03 04 05
Data analytics roadmap for beginners
The order matters. Starting on Power BI before Excel and SQL is why most self-taught learners stall at dashboards they cannot explain.
Foundations
What analytics is, what an analyst does, and how to handle raw data.
- Analytics types
- Data handling
- Cleaning
Excel and SQL
The two skills every analyst job description names.
- Formulas and pivots
- Joins and grouping
- Window functions
Python and statistics
Scale beyond what a spreadsheet can hold, and reason about it properly.
- Pandas and NumPy
- Data wrangling
- Hypothesis testing
Visualisation
Turning analysis into something a manager reads and acts on.
- Power BI and DAX
- Tableau and LOD
- Dashboard design
Job ready
Projects, portfolio and the interview work that turns skills into an offer.
- 5 business projects
- GitHub portfolio
- Mock interviews
Your mentor
Your trainer
Trainer photograph
Upload a real image here
Upload a real image here
Ms. Shaheda Tabassum
Certified trainer, data analytics and business intelligence.
9+ years of real-time experience in data analytics and business intelligence, teaching Excel, SQL, Python, Power BI and Tableau from the perspective of someone who has delivered analysis in production rather than only studied it.
Specialisations
Excel and advanced Excel, SQL, Python for analytics, Power BI, Tableau and business intelligence reporting.
Teaching approach
Practical implementation first. Every concept lands on a real dataset in the same session.
Mentorship
One-to-one career support and guidance on which analyst path fits your background.
Support
Regular doubt-clearing sessions and lifetime access to the live session recordings.
Fees and modesCorporate₹19,999Per participant Most popularClassroom₹30,000Near JNTU Metro Live online₹27,000Weekday and weekend
Course fees, duration and training modes
Three ways to take the same 16-module syllabus.
- Customised for company teams
- Practical use cases and real datasets
- Flexible training schedule
- Industry expert trainers
- Face-to-face with the trainer
- Daily hands-on practice
- One-to-one doubt clarification
- Resume, mock interviews, placement assistance
- Live interactive classes, same trainer
- Recorded sessions for revision
- Real-time project development
- Resume, mock interviews, job guidance
EMI options are available. Confirm current fees and the next batch date with a counsellor before enrolling.
Before you pay
Check us out before you enrol
We would rather you verify everything than take our word for it. Here is exactly how.
Sit in on a live class
Book a free demo and watch an actual session — the trainer, the pace, the datasets and the batch you would join. Nothing is staged for visitors.
Read our Google reviews
Open our Google Business Profile and read what learners wrote there. Google reviews are tied to real accounts, which is why we point you to them.
Ask about the trainer
Ask a counsellor about the trainer's background and check it yourself. A named trainer you can look up is the point.
Ask to see a project
Ask what a finished dashboard or analysis actually looks like. If an institute cannot show you the output, the projects are a line on a brochure.
Compare the syllabus
Our full 16-module syllabus is on this page. Compare it module by module — particularly on SQL window functions, statistics and Alteryx, which many syllabuses skip.
Ask which BI tool is taught
Some courses teach Power BI only, or Tableau only. Ask, because a job description naming the other one will filter you out.
Salary insights
Data analyst salary in Hyderabad
Indicative market ranges by role. These are estimates, not offers.
Junior Data Analyst₹2.5–5 LPA
Indicative annual range in Hyderabad. 0–1 year of experience.
Data Analyst₹3–6 LPA
Indicative annual range in Hyderabad. 0–2 years of experience.
Data Visualization Analyst₹5–10 LPA
Indicative annual range in Hyderabad. 1–3 years of experience.
Reporting Analyst₹4–8 LPA
Indicative annual range in Hyderabad. 1–3 years of experience.
SQL Developer₹5–12 LPA
Indicative annual range in Hyderabad. 1–5 years of experience.
Business Analyst₹6–12 LPA
Indicative annual range in Hyderabad. 1–4 years of experience.
Disclaimer. Salary figures shown are indicative market estimates and are not a guarantee of earnings. Actual compensation depends on experience, skills, employer and interview performance.
Career paths
Career opportunities after the data analytics course
The roles this syllabus maps to, and what each one is actually accountable for.
Data Analyst
Analyses data and builds reports that inform decisions. Key skills: Excel, SQL, Power BI, data cleaning.
Junior Data Analyst
Entry-level cleaning, basic analysis and reporting. Key skills: Excel, basic SQL, reporting.
Business Analyst
Uses data to understand business needs and improve processes. Key skills: SQL, Excel, communication.
Data Visualization Analyst
Builds dashboards and visual reports. Key skills: Power BI, Tableau, dashboard design.
SQL Developer
Manages databases and writes queries to extract data. Key skills: SQL, database management.
Reporting Analyst
Prepares business reports and tracks performance metrics. Key skills: Excel, SQL, reporting.
Marketing Data Analyst
Analyses customer data and campaign performance. Key skills: segmentation, campaign metrics.
BI Analyst
Works with BI tools to create dashboards and business insights. Key skills: Power BI, modelling, DAX.
Operations Analyst
Analyses process and performance data. Key skills: Excel, SQL, process understanding.
Product Analyst
Analyses user and product data to guide decisions. Key skills: SQL, cohort analysis, metrics.
Financial Analyst
Financial reporting and variance analysis. Key skills: Excel, modelling, reporting.
Analytics Consultant
Client-facing analysis and advisory. Key skills: breadth, communication, presentation.
What makes us different
How this course differs from other data analytics institutes in Hyderabad
Category-level comparison. We do not name competitors, and every row is something you can check before enrolling.
| What matters | Most institutes | Data Analytics Masters |
|---|---|---|
| SQL depth | Basic SELECT and joins | Two modules, through window functions and CTEs |
| BI tools | Power BI or Tableau, rarely both | Both, across two modules |
| Excel | A quick overview before moving on | Two modules including Solver and What-If analysis |
| Statistics | Skipped or a single session | A dedicated module with hypothesis testing |
| Automation | Not covered | Alteryx workflow automation as its own module |
| Projects | One tidy demo dataset | Five business cases on realistic messy data |
| Portfolio | Certificate only | GitHub portfolio built during the career module |
| Placement language | "100% placement" claims | Support described specifically; no guarantee claimed |
Why 2026
Why data analytics is a strong career in Hyderabad in 2026
Three things specific to this city and this year.
Every function needs an analyst
Finance, marketing, operations, product and HR all report on data now. That breadth is why analyst hiring is less cyclical than most technical roles in Hyderabad.
The entry barrier is skills, not degrees
Analyst interviews test SQL, Excel and how you think about a dataset. A B.Com graduate with five documented projects competes directly with an engineering graduate without them.
It is the on-ramp to more
Data analyst leads naturally into business analyst, BI developer, analytics engineer and data science. Very few entry roles open that many doors.
Common questions, answered directly
Is data analytics a good career? Yes, if you can query data and explain what it means to someone who is not technical. Both halves matter, and the second is what most candidates neglect.
Can a non-IT graduate get in? Yes. B.Com, BBA and BA backgrounds are common in analytics teams, particularly in finance, marketing and operations reporting.
How do I start? Excel, then SQL, then Python and statistics, then Power BI and Tableau, then projects. In that order.
Frequently asked
Frequently asked questions
The twenty questions counsellors are asked most often, answered plainly.
What is the data analytics course in Hyderabad?
It is instructor-led training in Excel, SQL, Python, Power BI and Tableau, plus statistics, data wrangling and real business case studies. Data Analytics Masters delivers it as classroom training near JNTU and as live online batches across 16 modules over three months.
What is the course duration?
Three months. Classroom and live online batches follow the same 16-module syllabus, with weekday and weekend options so you can study alongside work.
What is the data analytics course fee in Hyderabad?
Classroom training is ₹30,000 and live online is ₹27,000. Corporate training is ₹19,999 per participant with a customised syllabus. EMI options are available. Confirm current pricing with a counsellor before enrolling.
Do I need a coding background?
No. Python is taught from installation onward, and Excel and SQL need logic rather than programming experience. B.Com, BBA, BA and B.Sc graduates do this course successfully every batch.
Which tools will I learn?
Excel and advanced Excel, SQL with MySQL and PostgreSQL, Python with Pandas and NumPy, Power BI, Tableau, Alteryx, Jupyter Notebook and Git for your portfolio.
Is SQL covered in depth?
Yes, across two modules. Fundamentals through joins and grouping, then window functions, CTEs and transactions. Window functions in particular come up in almost every data analyst interview.
Is Python necessary for a data analyst?
Not for every role, but it widens your options considerably. Many analyst jobs run on Excel and SQL alone. Python is what lets you handle larger datasets, automate repetitive work and move toward analytics engineering later.
Are Power BI and Tableau both covered?
Yes, both, across two modules. Employers in Hyderabad are split between the two, so learning both means you are not filtered out by a job description naming the one you skipped.
Is Alteryx included?
Yes, as its own module on data preparation and workflow automation. Very few fresher CVs in this market carry Alteryx, which makes it a genuine differentiator.
Are real projects included?
Five: an e-commerce sales analysis, a customer segmentation, a healthcare analytics case, a finance reporting automation and a full capstone dashboard. Each produces something you can present in an interview.
Is statistics part of the course?
Yes. Descriptive statistics, probability, distributions and hypothesis testing. This is the module that stops you presenting a confident conclusion the data does not support.
Who is the trainer?
Ms. Shaheda Tabassum, a certified trainer with 9+ years of real-time experience in data analytics and business intelligence. Every batch is taught live by a named trainer.
Is the training available online?
Yes. Live online batches run the same syllabus with the same trainer, with recorded sessions for revision and lifetime access to the recordings.
Is classroom training available in Hyderabad?
Yes, at Dr Atmaram Estates near JNTU Metro Station in Hyder Nagar. Learners travel from KPHB, Kukatpally, Miyapur, Ameerpet, Madhapur and Gachibowli.
What job roles can I apply for?
Data Analyst, Junior Data Analyst, Business Analyst, Data Visualization Analyst, Reporting Analyst, SQL Developer and BI Analyst are the common entry points in the Hyderabad market.
What salary can a fresher expect in Hyderabad?
Entry-level data analyst roles commonly advertise around ₹3–6 LPA, with junior roles from ₹2.5 LPA and business analyst roles reaching ₹6–12 LPA with a few years of experience. These are indicative market ranges, not a guarantee.
Is placement assistance provided?
Yes: resume building, LinkedIn optimisation, GitHub portfolio setup, SQL and Python interview practice, and mock interviews. We do not guarantee placement.
Do I get a certificate?
Yes, a course completion certificate on finishing the programme, recording the modules covered and the projects you built. An internship option is available with the classroom programme.
Can I attend a demo before paying?
Yes. Book a free demo class and sit in on a real session — the trainer, the pace, the datasets and the batch you would actually join.
Is there a job guarantee?
No. We do not guarantee placement or any salary outcome. What we provide is job-oriented training, five documented projects as a portfolio, interview preparation and placement assistance. The hiring decision belongs to the employer.
Get started today
Ready to start your data analytics career?
Sit in on a live session before you commit. You will see the curriculum, the trainer, the datasets, the batch timings and how the projects work.
No obligation. Speak with a course counsellor and find out whether this programme is right for you.
16Curriculum modules
14Tools covered
5Business projects
Visit us
Visit or contact us
Our centre is at Dr Atmaram Estates, beside JNTU Metro Station in Hyder Nagar.
| Institute | Data Analytics Masters |
|---|---|
| Phone | +91 99488 01222 |
| +91 99488 01222 | |
| dataanalyticsmasters.in@gmail.com | |
| Address | 3rd Floor, Dr Atmaram Estates, Metro Pillar No. A690, beside Siri Pearls & Jewellery, near JNTU Metro Station, Hyder Nagar, Vasantha Nagar, Hyderabad, Telangana 500085 |
| Landmark | Metro Pillar No. A690, beside Siri Pearls & Jewellery |
| Hours | Monday to Saturday, 9:00 am – 8:00 pm |