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 Emlyon business school

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

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

April 2026

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • 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: Computer Programming
Category: Data Structures
Category: Programming Principles
Category: Data Manipulation
Category: Development Environment
Category: Code Reusability
Category: Computational Thinking
Category: Data Processing
Category: Program Development
Category: Object Oriented Programming (OOP)
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: Python Programming
Category: File Management
Category: Object Oriented Design
Category: Data Structures
Category: Performance Tuning
Category: Algorithms
Category: Object Oriented Programming (OOP)
Category: Unit Testing
Category: Code Reusability
Category: Software Testing
Category: Context Management
Category: Test Tools
Category: Debugging
Category: Test Case
Category: Data Science
Category: Programming Principles
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: Matplotlib
Category: NumPy
Category: PyTorch (Machine Learning Library)
Category: Interactive Data Visualization
Category: Pandas (Python Package)
Category: Plotly
Category: Linear Algebra
Category: Data Manipulation
Category: Data Visualization Software
Category: Deep Learning
Category: Data Wrangling
Category: Scatter Plots
Category: Numerical Analysis
Category: Machine Learning Methods
Category: Python Programming
Category: Applied Machine Learning
Category: Image Analysis
Category: Plot (Graphics)

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Packt - Course Instructors
Packt
1,728 Courses486,110 learners

Offered by

Packt

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."