Most Python courses teach Python for software: objects, classes, algorithms, maybe a web framework. An analyst needs a different subset, which is pandas, cleaning real files, grouping and joining, plots, and enough statistics to know whether a difference means anything. Free routes cover it, starting with NPTEL’s twelve-week course, free to study with a ₹1,000 proctored exam. Subscriptions run ₹599 to about ₹1,900 a month. A live, mentor-reviewed analytics course in Python is ₹38,110.
Fees and course details last checked September 2026; confirm current numbers with the provider before enrolling.
Python courses by level, free and paid
This table covers routes that teach Python for analysis. Full analytics programmes with Python as one module are further down, because those are a different purchase. The certificate column separates a completion certificate, which says you finished, from an exam-backed one, which says you passed something.
| Route | Level | Format | Length | Certificate | Fee |
|---|---|---|---|---|---|
| SkilloVilla Data Analytics and Statistics using Python | Beginner to advanced | Live online classes, mentors review your code | 8 weeks | Completion certificate | ₹38,110 |
| SkilloVilla Data Analytics with Python | Beginner to job-ready, Python after Excel and SQL | Live online, cohort timetable | 4 to 5 months | Completion certificate | ₹71,999, currently ₹58,999 |
| Our Python guide on this blog | Beginner | Written, self-paced | An afternoon | None | Free |
| NPTEL, run by the IITs and IISc | Beginner to intermediate, analytics using Python | Recorded lectures, self-paced | About 12 weeks | Yes, after a proctored exam | Free to study, ₹1,000 proctored exam |
| DataCamp Premium | Beginner to advanced | Interactive, self-paced, 790-plus courses | Self-paced, no fixed length | Completion certificates | ₹599 a month billed annually |
| Codecademy Plus and Pro | Beginner to intermediate | Interactive exercises in the browser | Self-paced, no fixed length | Completion certificates on Pro | ₹300 and ₹600 a month billed annually |
| Udemy, individual courses | Beginner to advanced | Recorded video | About 20 hours of video is typical | Completion certificate | ₹499 against a ₹3,469 list price on the course checked |
| Coursera, Google Data Analytics Certificate | Beginner, analytics broadly rather than Python alone | Recorded, self-paced | Under 6 months at about 10 hours a week | Professional certificate | ₹1,902 a month |
| Coursera Plus | Beginner to advanced | Recorded, self-paced, catalogue access | Self-paced, no fixed length | Certificates included | ₹13,999 a year list, ₹2,099 a month |
Every competitor fee here was read on the provider’s own page on 24 September 2026. Where a provider publishes no fee, this page says so rather than guessing one.
Analysis Python is not software Python
This is the distinction that decides which course to buy, and it is why so many people give up three weeks in. A software syllabus spends its first month on classes, inheritance and data structures. An analyst touches almost none of that in the first year.
| An analysis syllabus must cover | It can safely skip, early on |
|---|---|
| pandas: reading files, selecting, filtering, sorting | Object-oriented programming and class design |
| Cleaning: missing values, types, stray text, Indian date formats | Web frameworks such as Django or Flask |
| groupby, merge and pivot, the pandas versions of a PivotTable and a JOIN | Algorithms and data-structure interview drills |
| numpy for the arithmetic underneath | Deployment, containers and production tooling |
| matplotlib or seaborn for plots you can defend | Deep learning frameworks |
| Descriptive statistics, distributions, correlation | Building a package for other developers |
| Hypothesis testing and regression, at least well enough to read output | Front-end anything |
| Jupyter, and one analysis carried end to end | Competitive programming |
If a course page for “Python for data analytics” spends its syllabus on the right-hand column, it is a developer course with a new title.
The free routes are unusually good here
NPTEL runs a twelve-week course on data analytics using Python, free to study, with ₹1,000 payable only if you want the proctored exam and the certificate, as listed in September 2026. It is taught at university pace by the IITs and IISc, so it is heavier on statistics and lighter on job polish than a bootcamp, and it is the only exam-backed credential on this page.
Our own Python for data analysis guide covers the beginner arc, and it is free. Between those two, a determined person gets a long way without paying.
Where free study fails is the same place it fails for every tool. Nobody reads your notebook and tells you the analysis is wrong, the chart misleads, or the result you are proud of is an artefact of how you dropped null rows. Python makes it easy to produce a confident answer that is quietly incorrect, which is exactly why review is worth paying for here more than it is for Excel.
Subscriptions and recorded courses
DataCamp Premium is ₹599 a month billed annually and opens 790-plus courses rather than a single path, as listed in September 2026. It teaches in a browser with exercises after every short lesson, which suits people who bounce off long videos. Codecademy works the same way at ₹300 a month for Plus and ₹600 for Pro, both billed annually, and the Pro plan adds interview-prep tools and a job-readiness checker.
Udemy is a marketplace rather than a provider, with near-permanent sale pricing: one bestselling analyst bootcamp was ₹499 against a ₹3,469 list price on 24 September 2026, about 21.5 hours of video. Coursera’s Google Data Analytics Professional Certificate is ₹1,902 a month, as listed in September 2026, and covers analytics broadly rather than Python in depth.
None of these carry placement support, and none of them will notice if you stop. That is not a criticism, it is the deal: you pay a tenth of the price and supply the discipline yourself.
A taught course, and what ₹38,110 buys
Data Analytics and Statistics using Python is ₹38,110 and runs 8 weeks of live classes, covering pandas, the analysis workflow and the statistics that make a result trustworthy, with mentors reading the code you write. The statistics half is the part most cheap Python courses skip, and it is the part that separates an analyst from someone who can call a function.
Not for you if you want to learn at your own pace in the middle of the night. It runs to a live timetable, and a ₹599 a month subscription will suit that reader better.
If Python is one part of a career switch rather than the whole plan, the Data Analytics with Python track is ₹71,999, currently ₹58,999, over 4 to 5 months, and teaches Python after Excel and SQL, which is the order that actually works, with 1:1 mentorship and placement support. SkilloVilla reports alumni packages between 4 and 15 LPA with a median of 9.5 LPA, at companies including Accenture, Deloitte, Flipkart, Razorpay and Swiggy. Scholarships are available based on candidate profile.
Python inside a full analytics programme
If you are switching careers, buy the programme, not the tool. On fees read in September 2026: PW Skills sells a five-month syllabus at ₹6,999 recorded, ₹29,999 with live weekend sessions and ₹34,999 with mentorship, plus a non-refundable ₹10,000 registration fee on the two higher plans. Internshala is ₹34,999 against a ₹40,000 list price over six months. AccioJob is ₹65,000 online and ₹70,000 classroom over six months. Intellipaat’s data science course with iHub IIT Roorkee and Microsoft is ₹55,005 over seven months. Bosscoder Academy is ₹1,11,999 for six months with four live classes a week. Simplilearn’s Professional Certificate Program with IITM Pravartak is ₹1,19,999 including taxes over seven months.
One warning on the top of that range. Scaler’s data science course with an AI specialisation is ₹3,99,000 over twelve months, as listed in September 2026, and is built for working engineers moving into machine learning. If your goal is an analyst job, that is a different product at roughly seven times the price, and you are paying for depth you will not use for years. The full field is in our comparison of the best data analytics courses in India.
How long Python takes to be useful
| Stage | Realistic time | What you can do at the end |
|---|---|---|
| Syntax, lists, loops, functions | 1 to 2 weeks | Read code without panic and write small scripts |
| pandas basics: load, select, filter, sort | 2 weeks | Open an unfamiliar CSV and describe what is in it |
| Cleaning and reshaping: nulls, types, groupby, merge | 3 to 4 weeks | Reproduce a report you would otherwise build in Excel |
| Plots worth showing | 1 week | Make a chart that answers a question instead of decorating one |
| Applied statistics | 3 to 4 weeks | Say whether a difference between two groups is worth acting on |
Three to four months of steady practice gets a beginner to the point where Python is the faster option for a repeated task. The jump people underestimate is not syntax, it is data cleaning, which is where the bulk of real analysis time goes.
What to practise alongside the course
Take one dataset with genuine mess in it and carry it all the way: load it, clean it, answer three business questions with groupby and merge, chart the answers, and write a short conclusion someone could act on. Then repeat it on different data. Two finished analyses beat twelve half-watched tutorials, and they are what a portfolio actually is.
Keep three things running beside the Python. SQL, because in a real job the data usually arrives from a database and SQL joins are the skill that gets tested first. Statistics, because a p-value you cannot explain is worse than no p-value. And a BI tool, because most stakeholders want a dashboard, not a notebook. The sequence is set out in our data analyst roadmap.
Where Python sits in an analyst’s toolkit
Third, after Excel and SQL, and it is the one that raises your ceiling rather than gets you hired. Analyst job descriptions in India list SQL far more often than Python, and first-round screens test SQL more often than either. What Python adds is everything that does not fit in a spreadsheet: files too large for Excel, a clean-up that repeats every month, statistical work, and a route into data science later.
Learn it once the first two are solid. Learning Python first is the single most common ordering mistake we see, and it usually costs three months.
Frequently asked questions
Which Python course is best for data analytics in India?
Whichever one spends its syllabus on pandas, cleaning, joins, plots and statistics rather than on classes and algorithms. If you are self-directed, NPTEL’s free course with a ₹1,000 proctored exam is the best-value credential on this page. If you need pace and code review, a live course at ₹38,110 buys that. If you are switching careers, buy the analytics programme instead of stacking single courses.
Can I learn Python for data analytics for free?
Yes. NPTEL’s course content is free, written guides cover the beginner arc, and pandas and matplotlib are free libraries. The part you cannot get for free is someone checking that your analysis is right rather than merely running, which matters more in Python than in any other analyst tool.
Do I need to know coding before starting?
No. Python’s syntax reads close to plain English, and commerce, arts and non-engineering graduates learn it routinely. What it demands is consistent practice over a few months, not a technical degree. Starting with Excel and SQL first makes the Python easier when you get there.
Is Python or SQL more important for a data analyst?
SQL, by some distance, for getting hired. It appears in more analyst job descriptions in India and is tested in more first-round screens. Python is what makes you better at the job once you have it, and what opens the door to data science later.
How long does it take to learn Python for data analysis?
Three to four months of steady practice to the point where it is genuinely your faster option. About six weeks gets you writing basic pandas. The long tail is data cleaning, which is where most real analysis time goes and where most courses spend the least.
Is a Python certificate enough to get an analyst job in India?
On its own, no. Recruiters ask for a portfolio and test SQL in the screen; the certificate mostly gets your application read. Two finished analyses you can talk through, with the messy parts explained, are worth more than any completion certificate on this page.
Learn Python the way analysts actually use it
Data Analytics and Statistics using Python is ₹38,110, runs live, and covers pandas and the statistics that make an analysis defensible, with mentors reviewing your code. If Python is the third step of a career switch rather than a standalone skill, the Data Analytics with Python track at ₹71,999, currently ₹58,999, teaches it after Excel and SQL over 4 to 5 months, with placement support at the end. Book a counselling call and ask to see the statistics module before you decide.
