Coursera - Python Development Essentials for Science and Data Specialization

What you'll learn

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Automate data processing and solve analytical problems using clean Python code.
Perform high-speed numerical calculations and vectorized operations with NumPy arrays.
Clean, reshape, and aggregate complex tabular datasets using Pandas.
Skills you'll gain
? Code Review
? Scripting
? Data Access
? Machine Learning
? Back-End Web Development
? Engineering, Scientific, and Technical Instruments
? Computational Thinking
? Analysis
? Data Preprocessing
? Development Environment
? Data Science
? Computer Programming
? Data Processing
? Data Quality
? Software Installation
? Data Management
? Software Development
? Show all
Tools you'll learn
? Integrated Development Environments
? Software Development Tools
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.
Applied Learning Project
You'll work with real datasets directly inside professional JetBrains IDEs to build a functional TED Talks recommendation engine. By preparing, cleaning, and analyzing raw viewer data, you'll tackle real-world data pipeline challenges and learn how to turn messy inputs into clear, actionable insights.

Homepage

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