Overview

Google, IBM & Meta Certificates – 40% Off

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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.

Syllabus

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

Courses

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Start coding in Python from day one. Start from zero and build solid Python fundamentals by writing and running code in a professional development environment. With short, focused lessons and instant feedback, you’ll learn core programming concepts through practice - and gain skills you can apply in real projects. By the end of this course, you will: - Write clean, readable Python code with confidence. - Understand essential programming concepts and structures. - Be ready to move on to data science, automation, or software development tracks. Perfect for beginners who want practical skills, not just theory.
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Unlock the real power of Python with NumPy - the essential library behind data science, AI, and scientific computing. In this hands-on course, you’ll quickly go from basic array operations to writing fast, efficient code used in real data workflows. Learn by doing: you’ll practice inside a professional IDE, get instant feedback, and build the skills needed for real-world projects in data analysis, machine learning, and high-performance computing. By the end of the course, you’ll feel confident working with multi-dimensional data and ready to take on more advanced Python or data science challenges. New to Python or want a quick refresher before diving in? Start with our beginner-friendly course Python from Scratch: https://www.coursera.org/learn/jb-python-from-scratch
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By the end of this course, you’ll be using Pandas to prepare, explore, transform, and analyze real-world tabular data in Python. You will master working with Series and DataFrames, loading external data, filtering and summarizing datasets, creating visualizations, and reshaping data for deep analysis. You will build the exact practical skills required in everyday data analysis workflows: identifying data quality issues, merging datasets, reshaping data formats, and extracting meaningful insights from raw information. What sets this course apart is that you learn by doing. Instead of just watching videos, you'll solve interactive coding challenges right inside PyCharm, fully integrated with Coursera. You'll apply each new concept the moment you learn it, locking in your skills through hands-on practice. Finally, you’ll tie everything together with a capstone project: "Which TED Talks to watch." Using Pandas, you’ll analyze a real dataset and build a functional recommendation workflow from scratch. You’ll walk away with a strong foundation in Pandas and the confidence to tackle real datasets in your own projects, studies, or career.