JetBrains

Python Development Essentials for Science and Data Specialization

JetBrains

Python Development Essentials for Science and Data Specialization

Launch your career in Python.

Master Python, NumPy, and Pandas to clean, analyze, and visualize real-world data effectively.

Access provided by Universidade Federal de Santa Catarina

Get in-depth knowledge of a subject
Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

Details to know

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Taught in English
Recently updated!

September 2026

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  • Learn in-demand skills from university and industry experts
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  • Develop a deep understanding of key concepts
  • Earn a career certificate from JetBrains

Specialization - 3 course series

Python from Scratch: Learn by Coding

Python from Scratch: Learn by Coding

Course 1, 15 hours

What you'll learn

  • Write and run Python code from the very first lessons.

  • Practice core Python concepts through hands-on coding tasks with instant feedback.

  • Work with common data structures, files, and modules to organize your code.

  • Run, debug, and improve Python programs in a professional Integrated Development Environment (IDE).

Skills you'll gain

Category: Python Programming
Category: File I/O
Category: Scripting
Category: Code Reusability
Category: Computational Logic
Category: Computer Programming
Category: Computational Thinking
Category: Data Structures
Category: Package and Software Management
Category: Integrated Development Environments
Category: NumPy
Category: Programming Principles
Category: Software Installation
Category: Code Review
Category: Numerical Analysis
Category: Object Oriented Design
Category: Development Environment
Category: Data Processing
Python: Mastering NumPy Essentials

Python: Mastering NumPy Essentials

Course 2, 7 hours

What you'll learn

  • Master NumPy fundamentals: create and manipulate arrays, perform vectorized computations, and apply numerical methods in Python.

  • Learn to work with NumPy arrays, perform fast numerical operations, and apply essential tools for data analysis and scientific computing.

  • Build strong NumPy skills: array operations, vectorized math, broadcasting, and practical numerical techniques for Python projects.

Skills you'll gain

Category: NumPy
Category: Python Programming
Category: Linear Algebra
Category: Software Development
Category: Engineering, Scientific, and Technical Instruments
Category: Data Manipulation
Category: Data Preprocessing
Category: Numerical Analysis
Category: Data Management
Category: Data Transformation
Category: Machine Learning
Category: Software Development Tools
Category: Unstructured Data
Category: Integrated Development Environments
Category: Data Science
Python: Mastering Pandas Essentials

Python: Mastering Pandas Essentials

Course 3, 9 hours

What you'll learn

  • Master the fundamentals of Pandas Series and DataFrames.

  • Load, filter, and visualize real-world datasets.

  • Transform and merge data using core Pandas operations.

  • Build a practical TED Talks recommendation workflow.

Skills you'll gain

Category: Pandas (Python Package)
Category: Data Manipulation
Category: Data Import/Export
Category: Data Cleansing
Category: Data Transformation
Category: Data Analysis
Category: Data Structures
Category: Exploratory Data Analysis
Category: Data Preprocessing
Category: Analysis
Category: Pivot Tables And Charts
Category: Data Visualization
Category: Data Management
Category: Python Programming
Category: Back-End Web Development
Category: Statistical Visualization
Category: Data Wrangling
Category: Integrated Development Environments
Category: Data Processing
Category: Software Development

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Instructor

JetBrains Academy team
JetBrains
7 Courses129,324 learners

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