technifyed

JetBrains via Coursera Learning path or series

Python Development Essentials for Science and Data

Overview

Master the core Python toolkit used by modern data analysts and scientists. Designed by JetBrains Academy, this hands-on Specialization takes you step-by-step through standard data tools – from writing clean Python code to running high-speed computations in NumPy and wrangling complex tables with Pandas.

By working directly in industry-standard IDEs, you’ll gain real experience cleaning, transforming, and visualizing data – building portfolio-ready projects like a custom recommendation engine along the way.

Courses in this learning path or series 3

  1. Python from Scratch: Learn by Coding
  2. Python: Mastering NumPy Essentials
  3. Python: Mastering Pandas Essentials

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Self-paced: start any time.
  • A clear syllabus (3 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

JetBrains is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (74/100).

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