Statistics & Probability

No, and this is a real no, not a marketing one. Every technique in the course, from descriptive statistics through regression, is taught and assessed in a spreadsheet, and the capstone can be completed entirely without code. A parallel Python track runs for those who want it: the same analyses redone with pandas and scipy, taught from zero. Roughly speaking, the spreadsheet track gives you the statistics; adding the Python track gives you the statistics plus a tool employers increasingly expect.

School algebra: you should be able to rearrange a simple formula and be comfortable with fractions, percentages and squared terms. There is no calculus in the course. Where a result normally requires calculus to derive, we demonstrate it numerically or by simulation instead, which is often more convincing anyway. The week 1 diagnostic catches genuine gaps, and we patch them in the early weeks rather than turning you away.

A data science course is mostly tooling: Python, data wrangling, machine learning libraries, deployment. This course is the statistical reasoning underneath, which data science courses typically compress into two rushed weeks and which is exactly where most self-taught data scientists are weakest. If your goal is data science, this course first and a data science course second is the strong order. If your goal is to understand data, studies and experiments in your existing work, this course alone may be all you need.

In the final month you take one real dataset, yours from work, or one you choose from public sources with our help, frame a question, run the appropriate analysis and write it up with methods and limitations, then present it. The write-up format mirrors how analytical work is actually reported. Students on the spreadsheet track and the Python track complete the same capstone with different tools, and both versions are portfolio pieces you keep.

The course is built for it: two live one-hour classes a week, scheduled in evening and weekend slots, plus three to four hours of practice you can place wherever your week allows. The pace is steady rather than punishing, and WhatsApp doubt support means a stuck Tuesday problem does not have to wait for Saturday. Professionals who miss a class can attend the same session with another batch where scheduling allows.

It gives you the statistical core of the job, which is genuinely the hard part, and a capstone analysis to show. It does not by itself supply everything analyst job listings ask for: SQL and dashboard tools are common requirements we do not cover here. Our honest advice, which we repeat in the career guidance sessions, is that this course plus SQL practice plus a portfolio of two or three analyses is a credible analyst preparation. The course alone is the foundation, not the whole house.

It covers the standard core of a first university statistics course: descriptive statistics, probability, distributions, estimation, hypothesis testing and regression, so students frequently use it alongside degree coursework in commerce, economics, psychology and engineering. It is not tied to any single university's paper pattern, and we do not teach to one exam. Students preparing for a specific university exam get targeted practice on their syllabus topics in the doubt sessions.

A spreadsheet application, either Google Sheets, which is free, or Excel, plus a free Python setup if you take the optional Python track; we help install everything in the first week. All datasets used in the course are public and free. There is no paid statistical software anywhere in the course: everything runs on tools you will still have access to after the course ends.

₹1,499 per month for group classes with 2 live classes weekly and at most 10 students per batch. Mini batches of 3 to 4 students are ₹2,499 per month, and personal 1-on-1 classes are ₹4,999 per month. International students pay $100 per month for group classes and $150 per month for 1-on-1. The first demo class is free: book at learn.modernagecoders.com/contact or on WhatsApp at +91 91233 66161.