Packt

The Complete Python and Data Science Bootcamp Specialization

Packt

The Complete Python and Data Science Bootcamp Specialization

Learn Python Programming and Data Science.

Master Python basics, data manipulation, visualization, and machine learning techniques.

Access provided by Coursera Learning Team

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Master Python programming fundamentals, including control flow, functions, and data structures.

  • Understand core data science tools like NumPy, Pandas, and Matplotlib for data manipulation and visualization.

  • Build and implement machine learning models for real-world data.

  • Apply Python programming techniques to solve practical problems using advanced libraries and frameworks.

Details to know

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Taught in English
Recently updated!

April 2026

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  • Develop a deep understanding of key concepts
  • Earn a career certificate from Packt

Specialization - 3 course series

Python Programming Foundations

Python Programming Foundations

Course 1, 12 hours

What you'll learn

  • Master Python’s syntax and basic functionality to write simple programs.

  • Build control flow structures using loops and conditionals to solve problems.

  • Develop reusable code by creating functions and handling variable scopes.

  • Work with data structures like lists and apply Python’s powerful slicing techniques.

Skills you'll gain

Category: Python Programming
Category: Object Oriented Programming (OOP)
Category: Data Manipulation
Category: Computational Thinking
Category: Computer Programming
Category: Data Processing
Category: Program Development
Category: Code Reusability
Category: Development Environment
Category: Programming Principles
Category: Data Structures
Intermediate Python and OOP

Intermediate Python and OOP

Course 2, 12 hours

What you'll learn

  • Master exception handling techniques, including raising and catching custom exceptions.

  • Understand recursion and apply it to solve problems like calculating Fibonacci numbers and factorials.

  • Learn common searching and sorting algorithms to handle and optimize data efficiently.

  • Dive deep into Object-Oriented Programming concepts like inheritance, polymorphism, and method overloading.

Skills you'll gain

Category: File I/O
Category: Object Oriented Design
Category: Algorithms
Category: Data Science
Category: Context Management
Category: Unit Testing
Category: Test Tools
Category: Programming Principles
Category: Data Structures
Category: Software Testing
Category: Code Reusability
Category: File Management
Category: Object Oriented Programming (OOP)
Category: Debugging
Category: Test Case
Category: Python Programming
Category: Performance Tuning
Data Science with Python

Data Science with Python

Course 3, 11 hours

What you'll learn

  • Master data manipulation with NumPy and Pandas to process large datasets.

  • Create powerful visualizations using Matplotlib and Plotly to explore data trends.

  • Understand image processing techniques for manipulating and analyzing images in Python.

  • Gain hands-on experience with PyTorch to work with tensors and machine learning models.

Skills you'll gain

Category: Interactive Data Visualization
Category: Plotly
Category: Applied Machine Learning
Category: Data Manipulation
Category: PyTorch (Machine Learning Library)
Category: Data Wrangling
Category: Python Programming
Category: Matplotlib
Category: Image Analysis
Category: NumPy
Category: Data Visualization Software
Category: Scatter Plots
Category: Deep Learning
Category: Pandas (Python Package)
Category: Linear Algebra
Category: Machine Learning Methods
Category: Numerical Analysis
Category: Plot (Graphics)

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Instructor

Packt - Course Instructors
Packt
1,695 Courses479,206 learners

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