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If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

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Is financial aid available?

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Python for Data Science, Machine Learning, and Beyond

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Python for Data Science, Machine Learning, and Beyond

This course is part of Complete Python Developer in 2026: Zero to Mastery Specialization

Instructor: Packt - Course Instructors

Included with Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Master Python 3 syntax, data types, and control flow
Build object-oriented and functional Python programs
Automate tasks with files, emails, SMS, and scraping

Details to know

Shareable certificate

Add to your LinkedIn profile

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

Learn more about Coursera for Business

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Build your subject-matter expertise

This course is part of the Complete Python Developer in 2026: Zero to Mastery Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Explore how Python is used in data science, machine learning, and advanced automation. Learn to analyze data, build intelligent systems, and prepare for a future in Python-powered fields.

This course delves into the powerful applications of Python in data science and machine learning, covering key concepts, tools, and workflows. You'll gain an understanding of how machine learning algorithms work, how to process and analyze data, and how to use Python for advanced automation and testing. The course also provides guidance on career development and next steps for aspiring Python professionals. The course blends conceptual overviews with practical coding demonstrations and quizzes, helping you understand both the 'why' and 'how' of Python in data-driven fields. You'll be guided through each topic with clear explanations and opportunities to test your knowledge. This course is part three of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Complete Python Developer in 2026: Zero to Mastery, by Andrei Neagoie. Copyright © 2026 Zero To Mastery Inc., Andrei Neagoie All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

This module introduces the fundamentals of artificial intelligence, machine learning, and data science, covering their histories, key concepts, and practical applications. Learners will explore how machine learning functions, the different types of data science, and the tools used in the field. The module also includes hands-on exercises to reinforce understanding and application of these concepts.

What's included

17 videos1 reading1 assignment

17 videosTotal 121 minutes

Section Overview3 minutes
AI/Machine Learning/Data Science4 minutes
How Machine Learning Works6 minutes
History Of Data5 minutes
Types of Machine Learning5 minutes
Machine Learning 109 minutes
Tools In Machine Learning6 minutes
Data Science 110 minutes
Data Science 211 minutes
Data Science 313 minutes
Machine Learning 112 minutes
Machine Learning 26 minutes
Machine Learning 36 minutes
Machine Learning 43 minutes
Machine Learning 56 minutes
Machine Learning 64 minutes
Exercise: ReallySmartBrain14 minutes

1 readingTotal 10 minutes

Introduction to the Course 'Python for Data Science, Machine Learning, and Beyond'10 minutes

1 assignmentTotal 16 minutes

Understanding Core Concepts in AI and Machine Learning16 minutes

This module guides learners through the final steps of their learning journey, focusing on reflection, next steps, and closing the course. It helps consolidate knowledge and prepare for future learning or application.

What's included

1 video1 assignment

This module introduces key concepts from JTS: Learn to Learn and JTS: Start With Why, along with practical guidance on setting up a terminal for hands-on learning. Learners will gain insights into effective learning strategies and build foundational technical setup skills.

What's included

3 videos1 assignment

This module explores the fundamentals of HTML forms, including their structure, functionality, and how to submit data. Learners will gain an understanding of form elements and their practical applications in web development. It provides hands-on knowledge for creating and implementing interactive web forms.

What's included

3 videos1 reading2 assignments

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

2,654 Courses769,102 learners

Offered by

Packt

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.