Python Training in Hyderabad
— Core to Advanced, Taught Live
Python training in Hyderabad at Data Analytics Masters takes you from installing Python to object-oriented programming, regular expressions and the NumPy and Pandas libraries. Eighteen modules and five projects, taught live by a certified trainer with 10+ years of experience, as classroom batches near JNTU Metro or live online. No programming background required.
📊 Course snapshot
Duration
3 months
Mode
Classroom + live online
Modules
18 modules, 14 tools
Level
Complete beginner to advanced
Trainer
Mr. Dinesh, 10+ years
Location
Near JNTU Metro, Hyderabad
Live instructor-led
Classroom near JNTU + online
Core Python to OOP and regex
5 hands-on projects
Lifetime access to recordings
Placement assistance
18
Curriculum modules
14
Tools and technologies
3
Months of live training
5
Hands-on projects
At a glance
Python Training in Hyderabad — Quick Facts
Everything a prospective learner asks a counsellor in the first two minutes.
Course
Python Training in Hyderabad
Location
Near JNTU Metro Station, Hyderabad
Training mode
Classroom + live online + corporate
Duration
Confirm with a counsellor
Classroom fee
Confirm with a counsellor
Online fee
Confirm with a counsellor
Corporate training
Available, customised syllabus
Curriculum
18 modules, 14 tools, 5 projects
Key topics
Core Python, OOP, files, regex, NumPy, Pandas
Trainer
Mr. Dinesh, 10+ years
Session time
Weekday and weekend batches
Prerequisites
None. No programming 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 programmes you actually wrote, using the terms Python recruiters screen for.
Mock interviews
Python technical rounds on data structures, OOP and debugging, plus the round every interview uses: walk me through this code.
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 Python 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 Python developers in Hyderabad
These are employers advertising Python developer, automation and analyst 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 Python training in Hyderabad
Every reason below is something you can verify before you pay.
Our Python training in Hyderabad starts at module one with what Python is and how to install it. There is no assumed background. Everything is typed in class, not watched on a slide.
Eighteen modules cover core syntax, control flow, strings, lists, tuples, sets and dictionaries, functions, modules and packages, file handling, exception handling, object-oriented programming, regular expressions, and the NumPy and Pandas libraries.
It finishes with five projects — a file organiser, a CSV cleaner, a regex log parser, an OOP library system and a documented capstone on GitHub — plus guidance on which Python path to take next.
Free demo
Book a free demo class
See a real session before you commit — no obligation.
01
Beginner
Genuinely starts at zero
Module one is what Python is and how to install it. No assumed background, no prior coding, no maths requirement.
— Modules 1 and 2
02
Where people struggle
Loops and OOP get real time
The two places beginners stall get their own modules with lab work, not a passing mention.
— Modules 6 and 15
03
Hands-on
You type, you do not watch
Every concept is written in class the same session. Watching someone else code is not learning to code.
— Every module
04
Fundamentals
Data structures in depth
Lists, tuples, sets and dictionaries each covered properly, including comprehensions.
— Modules 8 to 10
05
Practical
Regular expressions included
Applied to extracting data from a real log file, not a textbook pattern exercise.
— Module 16
06
Production
Exception handling taught
try, except, finally, and the difference between a script and something you can hand over.
— Module 14
07
Libraries
NumPy and Pandas as the bridge
Where the language opens into analytics, automation or development.
— Module 17
08
Evidence
Five real projects
A file organiser, CSV cleaner, log parser, OOP system and a documented capstone.
— Portfolio
09
Visible
GitHub portfolio built
Your code hosted publicly, so a recruiter can read it instead of taking your word.
— Module 18
10
Accountability
Named trainer, 10+ years
Mr. Dinesh teaches the Python programmes. Ask about his background before you enrol.
— Certified trainer
11
Career advice
Honest about what Python alone gets you
Python plus SQL, plus JavaScript, or plus Selenium leads to different jobs. We help you pick.
— Module 18
12
Flexible
Classroom or live online
Classroom batches near JNTU Metro, live online anywhere, with lifetime recording access.
— Both modes
Course curriculum
Python Course Syllabus — 18 Modules
Eighteen modules that take you from installing Python to writing object-oriented code. Expand any module to see the topics, the lab and the outcome.
01 Introduction to Python
What Python is, why it won, and where it is actually used.
You will cover: ✓ What is Python · ✓ History and versions · ✓ Features of Python · ✓ Where Python is used
02 Installation and Execution Modes
Getting a working environment, properly, once.
You will cover: ✓ Installing Python · ✓ Interactive mode · ✓ Script mode · ✓ IDLE and Jupyter Notebook
03 Variables and Data Types
The building blocks everything else sits on.
You will cover: ✓ Variables and constants · ✓ Numbers, strings, booleans · ✓ Type conversion · ✓ Comments and indentation
04 Operators and Expressions
How Python actually evaluates what you write.
You will cover: ✓ Arithmetic operators · ✓ Comparison and logical · ✓ Assignment and bitwise · ✓ Operator precedence
05 Conditional Statements
Making a program decide.
You will cover: ✓ if statements · ✓ if-else · ✓ elif chains · ✓ Nested conditions
06 Loops in Python
Repetition, and how to stop it going wrong.
You will cover: ✓ while loops · ✓ for loops · ✓ break and continue · ✓ Nested loops
07 Strings
The data type you will handle most often.
You will cover: ✓ String methods · ✓ Slicing and indexing · ✓ Formatting and f-strings · ✓ Escape sequences
08 Lists
Python's workhorse collection.
You will cover: ✓ Creating and indexing · ✓ Traversing and slicing · ✓ List methods · ✓ List comprehensions
09 Tuples and Sets
When immutability and uniqueness matter.
You will cover: ✓ Tuple packing and unpacking · ✓ Tuples vs lists · ✓ Set operations · ✓ Set methods
10 Dictionaries
Key-value data, which is most real-world data.
You will cover: ✓ Creating dictionaries · ✓ Dictionary methods · ✓ Nested dictionaries · ✓ Hashing basics
11 Functions
Writing code you can reuse instead of repeat.
You will cover: ✓ Defining and calling · ✓ Arguments and defaults · ✓ Return values and scope · ✓ Lambda functions
12 Modules and Packages
Using the ecosystem rather than rewriting it.
You will cover: ✓ Importing modules · ✓ Standard library · ✓ pip and packages · ✓ Virtual environments
13 File Handling
Reading and writing the world outside your script.
You will cover: ✓ Opening and closing files · ✓ Read and write modes · ✓ CSV and text files · ✓ Working with paths
14 Exception Handling
Programs that fail gracefully instead of crashing.
You will cover: ✓ Errors vs exceptions · ✓ try, except, finally · ✓ Raising exceptions · ✓ Common runtime errors
15 Object-Oriented Programming
The paradigm every Python job description mentions.
You will cover: ✓ Classes and objects · ✓ Constructors and self · ✓ Inheritance · ✓ Polymorphism and encapsulation
16 Regular Expressions
Pattern matching, once you stop fearing it.
You will cover: ✓ Regex syntax · ✓ The re module · ✓ Search, match and findall · ✓ Practical patterns
17 Working with Libraries
Where Python stops being a language and becomes a toolkit.
You will cover: ✓ NumPy arrays · ✓ Pandas DataFrames · ✓ Reading data files · ✓ Basic visualisation
18 Projects and Career Preparation
Turning the language into something you can show.
You will cover: ✓ Project build · ✓ GitHub portfolio · ✓ Python interview questions · ✓ Choosing your path
Tools covered
Python tools and libraries you will use
Each tool, what it does, and where it shows up in the modules and projects.
Tool
Purpose
Where you use it
Python 3
The language itself
Every module
IDLE
Built-in Python editor
Modules 1 and 2
Jupyter Notebook
Interactive coding and analysis
Data-oriented modules
VS Code
Code editor and debugger
Scripts and projects
pip
Package installation
Modules and packages
Virtual environments
Isolated project dependencies
Modules and packages
Standard library
Built-in modules
Files, dates, math, regex
re module
Regular expressions
Module 16
NumPy
Numerical arrays
Module 17
Pandas
DataFrames and tabular data
Module 17
Matplotlib
Basic plotting
Module 17
CSV and JSON
Common data formats
File handling
Git and GitHub
Version control and portfolio
Career module
Debugger
Stepping through failing code
Exception handling
Skills you will master
Python skills you will learn
Twelve concrete capabilities you walk out with, aligned to what Python interviews actually test.
01 ✓
Core syntax
Variables, types, operators and Python's indentation rules.
02 ✓
Control flow
Conditionals and loops, written so they stay readable.
03 ✓
Data structures
Lists, tuples, sets and dictionaries, and when each is right.
04 ✓
List comprehensions
The concise idiom interviewers ask about constantly.
05 ✓
Functions
Arguments, scope, return values and lambda expressions.
06 ✓
Modules and packages
pip, virtual environments and the standard library.
07 ✓
File handling
Reading and writing text, CSV and JSON files.
08 ✓
Exception handling
try, except, finally, and failing without crashing.
09 ✓
Object-oriented programming
Classes, inheritance, polymorphism and encapsulation.
10 ✓
Regular expressions
Extracting structure from unstructured text.
11 ✓
NumPy and Pandas
Arrays and DataFrames, the bridge into analytics.
12 ✓
Debugging
Reading a traceback and fixing the actual cause.
Real projects
Python projects you will build
Five projects you write from a blank file. Each one is something you can open on a laptop in an interview.
File organiser script
Problem — a downloads folder with two thousand mixed files and no structure.
Flow — read directory → classify by type and date → move into folders → log the actions.
Outcome — your first script that does something genuinely useful on your own machine.
File handling
os module
Logging
CSV data cleaner
Problem — a spreadsheet export full of blanks, duplicates and inconsistent formats.
Flow — read CSV → handle missing values → deduplicate → normalise → write clean output.
Outcome — the task that appears in almost every entry-level Python job.
Pandas
CSV
Data cleaning
Log parser with regex
Problem — a server log file and a question nobody can answer by eye.
Flow — read log lines → regex extraction → aggregate by pattern → summary report.
Outcome — regex applied to a real problem rather than a tutorial exercise.
re module
File handling
Dictionaries
Library management system
Problem — a small system that needs to model real objects and rules.
Flow — class design → inheritance → methods and validation → persistence to file.
Outcome — the OOP project interviewers ask you to walk through.
OOP
Classes
File I/O
Capstone Python project
Problem — one problem, taken from a blank file to a working, documented tool.
Flow — problem framing → design → implementation → error handling → GitHub write-up.
Outcome — the portfolio piece you show instead of describing.
Python
Git
Documentation
Audience
Who can join this Python training?
Suitable for a wide range of learners. No prior coding or analytics experience is required.
01
Complete beginners
No programming background needed. Module one is what Python is and how to install it.
02
Students and freshers
Any degree. Python is the most common first language for a reason.
03
Non-IT graduates
B.Com, BBA and BA backgrounds learn Python successfully every batch.
04
Testers and QA engineers
Python is the automation language most testing teams have standardised on.
05
Data and reporting staff
Excel work that takes a day becomes a script that takes a minute.
06
Working professionals
Weekend and evening batches so you can learn without leaving your job.
07
Career switchers
Python is the widest door into a technical career, and the one with the gentlest slope.
+
Future Python developers
Ready to stop watching tutorials and start writing programmes that do something? This is the on-ramp.
Syntax · Data structures · OOP · Projects
Your path
Python learning roadmap for beginners
The order matters. Jumping to libraries before functions and data structures is why most self-taught learners plateau.
01
Syntax
Install Python, run your first script, learn how it reads.
• Variables and types
• Operators
• Indentation
02
Logic
Making a programme decide and repeat. Where beginners either click or stall.
• Conditionals
• Loops
• Strings
03
Structure
Holding data properly, and writing code you can reuse.
• Lists and dictionaries
• Functions
• Modules
04
Real programmes
Code that touches files, fails safely and models real things.
• File handling
• Exceptions
• OOP and regex
05
Choose your path
Libraries, projects, and the decision about what to pair Python with.
• NumPy and Pandas
• 5 projects
• GitHub portfolio
Your mentor
Your trainer
Trainer photograph
Upload a real image here
Lead Trainer
Mr. Dinesh
Certified trainer, Python programming and development.
10+ years of real-time experience, teaching Python from first installation through object-oriented programming from the perspective of someone who has shipped Python in production rather than only studied it.
Specialisations
Core and advanced Python, object-oriented programming, file and data handling, regular expressions, and Python for web and automation.
Teaching approach
Practical implementation first. Every concept is typed and run in the same session.
Mentorship
One-to-one career support and guidance on which Python path fits your background.
Support
Regular doubt-clearing sessions and lifetime access to the live session recordings.
Fees and modes
Python training fees and modes
Python is taught within two programmes. Pick the one that matches where you want to end up.
Within Data Analytics
3 months
₹27,000 online · ₹30,000 classroom
• Python alongside Excel, SQL, Power BI and Tableau
• Right if you want to become an analyst
• Pandas and NumPy applied to business data
• 5 business projects and placement support
Ask a counsellor
Python track
Your goal
Fee and duration confirmed on the call
• Tell us where you want Python to take you
• Analytics, development, automation or testing
• A counsellor maps you to the right programme
• Free demo class before you decide
Within Python Full Stack
6 months
₹25,000 online · ₹30,000 classroom
• Python alongside HTML, CSS and JavaScript
• Right if you want to build web applications
• Core and advanced Python, then the web stack
• Placement support and certification
Fees shown are for the two programmes Python is taught within. 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 who teaches the batch
Ask for the trainer's name and background before you enrol. A named trainer you can look up is the point.
Ask to see the code
Ask what a finished student project actually looks like. If an institute cannot open a real repository, the projects are a line on a brochure.
Compare the syllabus
Our full 18-module syllabus is on this page. Compare it module by module — particularly on OOP, exception handling and regex, which shorter courses skip.
Ask how much you type
Ask whether you write the code or watch the trainer write it. That difference is the whole course.
Salary insights
Python developer salary in Hyderabad
Indicative market ranges by role. These are estimates, not offers.
Junior Python Developer
₹3–5 LPA
Indicative annual range in Hyderabad. 0–1 year of experience.
Python Developer
₹3.5–7 LPA
Indicative annual range in Hyderabad. 0–2 years of experience.
Data Analyst
₹3–6 LPA
Indicative annual range in Hyderabad. 0–2 years of experience.
Automation Engineer
₹5–10 LPA
Indicative annual range in Hyderabad. 1–3 years of experience.
Python Developer
₹8–15 LPA
Indicative annual range in Hyderabad. 3–5 years of experience.
Senior Python roles
₹15–25 LPA
Indicative annual range in Hyderabad. 5+ 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 Python training
The roles this syllabus maps to, and what each one is actually accountable for.
01
Python Developer
Builds applications and services in Python. Key skills: core Python, OOP, libraries.
02
Junior Python Developer
Entry-level development under supervision. Key skills: syntax, functions, debugging.
03
Data Analyst
Analyses data using Python, SQL and BI tools. Key skills: Pandas, NumPy, SQL.
04
Automation Engineer
Automates repetitive processes. Key skills: scripting, file handling, APIs.
05
Test Automation Engineer
Automated testing with Python frameworks. Key skills: Python, Selenium, pytest.
06
Backend Developer
Server-side application logic. Key skills: Python, frameworks, databases.
07
Python Full Stack Developer
Frontend and backend together. Key skills: Python plus HTML, CSS and JavaScript.
08
Data Engineer
Builds data pipelines. Key skills: Python, SQL, ETL concepts.
09
Scripting Specialist
Operational automation and tooling. Key skills: standard library, regex, files.
10
Machine Learning Engineer
Model development and deployment. Key skills: Python, NumPy, ML libraries.
11
BI Developer
Reporting and data preparation. Key skills: Python, SQL, visualisation tools.
12
Research Analyst
Data-driven research and reporting. Key skills: Python, statistics, presentation.
What makes us different
Which Python path should you take?
Python alone rarely gets a job. What you pair it with decides the role. Here are the routes.
If you want
Pair Python with
Target role
Our programme
To analyse data and build reports
Excel, SQL, Power BI, Tableau
Data Analyst, BI Analyst
To build web applications
HTML, CSS, JavaScript, frameworks
Python Full Stack Developer
Python Full Stack Training
Just the language, properly
Nothing yet — decide later
Foundation for any of the above
This page
To practise on your own
Small projects
Portfolio building
Ask a counsellor for project ideas
Why 2026
Why Python is worth learning in Hyderabad in 2026
Three things specific to this city and this year.
It opens the most doors
Analytics, web development, automation, testing, data engineering and machine learning all run on Python. Very few first languages let you defer the decision this long.
The syntax is not the barrier
Python reads close to English, which is why non-IT graduates learn it successfully. What separates people is whether they wrote code or watched it.
Automation pays quietly
A report that took a day and now takes a minute is the kind of result that gets noticed. Many Python careers in Hyderabad start with automating your own current job.
Common questions, answered directly
Is Python worth learning in 2026? Yes, and more so than most languages, because it is the common entry point to analytics, automation, testing and web development. You do not have to decide which before you start.
Can a non-IT graduate learn Python? Yes, and many do. The syntax is the friendliest of the mainstream languages. What matters is practice between classes, not your degree.
How do I start? Syntax, then loops and conditionals, then data structures and functions, then files, exceptions and OOP, then libraries and projects. In that order.
Frequently asked
Frequently asked questions
The twenty questions counsellors are asked most often, answered plainly.
What is the Python training in Hyderabad?
It is instructor-led training in Python from core syntax to object-oriented programming — variables, control flow, data structures, functions, modules, file handling, exception handling, OOP, regular expressions and the NumPy and Pandas libraries. Eighteen modules with five projects, taught live near JNTU Metro or online.
Do I need any programming background?
No. Module one is what Python is and how to install it. Complete beginners, non-IT graduates and career switchers start from the same point every batch.
How is this different from the Python Full Stack course?
This course teaches Python as a language, in depth, then shows you where it leads. The Python Full Stack course pairs Python with HTML, CSS and JavaScript to build web applications over six months. If you want the language first and the path decided later, start here.
Which should I take first, Python or Data Analytics?
If you want to become an analyst, our Data Analytics course in Hyderabad covers Python alongside Excel, SQL, Power BI and Tableau, which is the combination analyst job descriptions ask for. If you want Python itself — for development, automation or testing — start with this course.
What is the course fee and duration?
Fees and duration depend on the track and batch you choose, so a counsellor will confirm the current figure. For reference, our Python Full Stack programme runs six months at ₹30,000 classroom and ₹25,000 online, and our Data Analytics programme runs three months at ₹30,000 classroom and ₹27,000 online. Ask about the Python track that fits your goal.
Who is the trainer?
Mr. Dinesh, a certified trainer with 10+ years of real-time experience, teaches the Python programmes. Every batch is taught live by a named trainer rather than a rotating pool.
Is Python easy to learn for beginners?
It is the most beginner-friendly mainstream language, mainly because the syntax reads close to English. The parts people struggle with are loops, then object-oriented programming — which is why those get their own modules with lab work rather than a passing mention.
Is object-oriented programming covered?
Yes, as its own module: classes, objects, constructors, inheritance, polymorphism and encapsulation, with a library management system as the practical project. OOP appears in almost every Python interview.
Are regular expressions covered?
Yes. Regex syntax, the re module, and search, match and findall, applied to extracting structured data from a real log file rather than a textbook example.
Will I learn NumPy and Pandas?
Yes, in module 17. Arrays, DataFrames, reading data files and basic visualisation. That module is the bridge from the language into analytics, automation or development.
Are real projects included?
Five: a file organiser script, a CSV data cleaner, a log parser using regex, a library management system built with OOP, and a capstone project documented on GitHub.
Will I get a GitHub portfolio?
Yes. Your projects are hosted publicly during the career module, so a recruiter can see your code instead of reading a claim about it.
What jobs can I get after learning Python?
Python Developer, Junior Python Developer, Data Analyst, Automation Engineer, Test Automation Engineer and Backend Developer are the common entry points. Which one fits depends on what you pair Python with, and the career module covers that choice.
What salary can a fresher expect in Hyderabad?
Entry-level Python developer roles commonly advertise around ₹3–7 LPA, rising to ₹8–15 LPA at three to five years. These are indicative market ranges, not a guarantee.
Is Python enough on its own to get a job?
Rarely. Python plus SQL gets you analyst roles. Python plus HTML, CSS and JavaScript gets you full stack roles. Python plus Selenium gets you test automation roles. This course gives you the language properly, then helps you choose the pairing.
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.
Are weekend batches available?
Yes, for working professionals and for students studying alongside a degree. Ask a counsellor about the next weekend batch date.
Is placement assistance provided?
Yes: resume building, LinkedIn optimisation, GitHub portfolio setup, Python interview practice and mock interviews. We do not guarantee placement.
Is there a job guarantee?
No. We do not guarantee placement or any salary outcome. What we provide is structured 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 writing
real Python?
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.
18
Curriculum modules
14
Tools and libraries
5
Hands-on 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
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