250 Free Coursera Courses for Data Science, ML & Python [2026]

Are you looking for free Coursera courses in 2026?

You’re not alone. Many learners search for “Coursera free courses” expecting full access. But Coursera has changed how free learning works.

In 2026, most Coursera courses no longer offer full audit access. Instead, they provide Preview Mode, which allows you to explore part of a course before deciding to pay.

In this article, I’ve listed 250 Coursera courses across Data Science, Machine Learning, Artificial Intelligence, Python, and related fields that you can preview for free.

This list is useful if you want to:
→ Understand course structure
→ Check instructor quality
→ Decide whether a course is worth paying for

I’ve kept this guide practical and updated, based on how Coursera works today.

Now, without any further ado, let’s get started-

Coursera FREE Courses 2026

How Free Access Works on Coursera in 2026

NOTE- Coursera has updated its free access model. Most courses now offer Preview Mode instead of full audit access.

To preview a course for free:

• Click on the “Enroll for FREE” button on the course page.

• Log in with your Coursera account. You will see a Preview option (availability depends on the course)

• With Preview Mode, you can access part of the course, usually the first module. This helps you understand the content and teaching style.

Preview Mode does not include:
→ Full course access
→ Most graded assignments
→ Certificates

To complete a course and earn a certificate, you must either pay or apply for financial aid.

What “Free” Really Means on Coursera

When Coursera says a course is free, it usually means free to preview, not free to complete.

Preview Mode is designed to help learners:
→ Explore a subject
→ Judge course depth
→ Decide if the paid version is worth it

If your goal is structured learning, assignments, and certificates, free preview access alone is not enough.

Now, let’s move to the course.

For your convenience, I have created a separate Free Coursera Courses Section for each subject. So, let’s start with Coursera FREE Courses for Data Science-

Coursera FREE Courses for Data Science

These Data Science courses focus on core topics like Python, statistics, SQL, and data analysis.

Most of them are suitable for beginners and early-stage learners who want to understand how data science is taught before committing to a paid course.

S/N	Course Name	Rating	Time to Complete	Level
1.	What is Data Science?	4.7/5	9 hours	Beginner
2.	Data Science Math Skills	4.5/5	13 hours	Beginner
3.	Introduction to Data Science in Python	4.5/5	31 hours	Intermediate
4.	Python for Data Science, AI & Development	4.6/5	22 hours	Beginner
5.	A Crash Course in Data Science	4.5/5	7 hours	Beginner
6.	Machine Learning	4.9/5	61 hours	Beginner
7.	Integral Calculus and Numerical Analysis for Data Science	NA	4 hours	Intermediate
8.	SQL for Data Science Capstone Project	4.2/5	35 hours	Intermediate
9.	Machine Learning for All	4.7/5	22 hours	Beginner
10.	Data Science Methodology	4.6/5	8 hours	Beginner
11.	SQL for Data Science	4.6/5	14 hours	Beginner
12.	Foundations: Data, Data, Everywhere	4.8/5	22 hours	Beginner
13.	Tools for Data Science	4.5/5	20 hours	Beginner
14.	Databases and SQL for Data Science with Python	4.6/5	37 hours	Beginner
15.	Foundations of Data Science: K-Means Clustering in Python	4.7/5	29 hours	Beginner
16.	Process Mining: Data science in Action	4.7/5	22 hours	Intermediate
17.	Probability Theory: Foundation for Data Science	4.2/5	48 hours	Intermediate
18.	Python for Genomic Data Science	4.3/5	9 hours	Beginner
19.	Applied Data Science Capstone	4.7/5	17 hours	Intermediate
20.	Fundamentals of Scalable Data Science	4.3/5	22 hours	Beginner
21.	Spatial Data Science and Applications	4.4/5	12 hours	Intermediate
22.	Introduction to R Programming for Data Science	4.4/5	11 hours	Beginner
23.	Statistics for Data Science with Python	4.6/5	14 hours	Beginner
24.	Data Science in Stratified Healthcare and Precision Medicine	4.6/5	17 hours	Intermediate
25.	Data Science Ethics	4.8/5	15 hours	Beginner
26.	Algebra and Differential Calculus for Data Science	4.1/5	8 hours	Intermediate
27.	Essential Linear Algebra for Data Science	4.8/5	8 hours	Intermediate
28.	Building a Data Science Team	4.5/5	6 hours	Beginner
29.	Command Line Tools for Genomic Data Science	4.1/5	12 hours	Beginner
30.	Statistics for Genomic Data Science	4.2/5	9 hours	Beginner
31.	Materials Data Sciences and Informatics	4.5/5	9 hours	Beginner
32.	SQL for Data Science with R	4.0/5	17 hours	Beginner
33.	Introduction to Clinical Data Science	4.6/5	8 hours	Intermediate
34.	Data Science Fundamentals for Data Analysts	4.0/5	19 hours	Intermediate
35.	Statistical Inference and Hypothesis Testing in Data Science Applications	4.6/5	34 hours	Intermediate

Now, let’s move to the Coursera FREE Courses for Machine Learning-

Coursera FREE Courses for Machine Learning

These Machine Learning courses focus on core ML concepts, model building, and real-world applications.

They are suitable for:
→ Beginners learning how machine learning works
→ Learners transitioning from data analysis to ML
→ Professionals exploring production-level ML concepts

Preview Mode helps you understand:
→ How algorithms are explained
→ The balance between theory and practice
→ Whether the course matches your math and coding background

Preview access is useful for evaluating course quality. To complete projects, graded assignments, and certificates, full enrollment or financial aid is required.

S/N	Course Name	Rating	Time to Complete	Level
36.	Machine Learning	4.9/5	61 hours	Beginner
37.	Machine Learning Introduction for Everyone	4.6/5	7 hours	Beginner
38.	Machine Learning for All	4.7/5	22 hours	Beginner
39.	Machine Learning with Python	4.7/5	23 hours	Intermediate
40.	Machine Learning: an overview	NA	3 hours	Beginner
41.	Introduction to Machine Learning	4.7/5	26 hours	Intermediate
42.	Applied Machine Learning in Python	4.6/5	34 hours	Intermediate
43.	Mathematics for Machine Learning: Linear Algebra	4.7/5	19 hours	Beginner
44.	Fundamentals of Machine Learning for Healthcare	4.8/5	12 hours	Beginner
45.	Introduction to Machine Learning in Production	4.8/5	10 hours	Advanced
46.	Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning	4.7/5	19 hours	Intermediate
47.	Structuring Machine Learning Projects	4.8/5	10 hours	Beginner
48.	Machine Learning Data Lifecycle in Production	4.4/5	22 hours	Advanced
49.	Exploratory Data Analysis for Machine Learning	4.6/5	14 hours	Intermediate
50.	Machine Learning Modeling Pipelines in Production	4.5/5	26 hours	Advanced
51.	Google Cloud Big Data and Machine Learning Fundamentals	4.7/5	10 hours	Beginner
51.	Deploying Machine Learning Models in Production	4.6/5	33 hours	Advanced
52.	Mathematics for Machine Learning: Multivariate Calculus	4.7/5	18 hours	Beginner
53.	Introduction to Embedded Machine Learning	4.8/5	17 hours	Intermediate
54.	Supervised Machine Learning: Regression	4.7/5	11 hours	Intermediate
55.	Machine Learning Foundations: A Case Study Approach	4.6/5	18 hours	Beginner
56.	Getting Started with AWS Machine Learning	4.5/5	9 hours	Intermediate
57.	Supervised Machine Learning: Classification	4.8/5	25 hours	Intermediate
58.	Introduction to Trading, Machine Learning & GCP	4.0/5	9 hours	Intermediate
59.	Computer Vision with Embedded Machine Learning	4.7/5	31 hours	Intermediate
60.	How Google does Machine Learning	4.6/5	13 hours	Beginner

Now, let’s move to the Coursera FREE Courses for Artificial Intelligence-

FREE Artificial Intelligence Courses

These Artificial Intelligence courses focus on AI concepts, applications, and ethical considerations, rather than heavy coding.

Most of these courses are suitable for:
→ Beginners exploring AI
→ Professionals wanting AI literacy
→ Learners from non-technical backgrounds

Preview Mode is useful here to understand how AI ideas are explained, especially in areas like ethics, healthcare, and law.

S/N	Course Name	Rating	Time to Complete	Level
61.	AI For Everyone	4.8/5	12 hours	Beginner
62.	Introduction to Artificial Intelligence (AI)	4.7/5	11 hours	Beginner
63.	Artificial Intelligence: An Overview	4.8/5	8 hours	Beginner
64.	AI, Empathy & Ethics	NA	4 hours	Beginner
65.	Machine Teaching for Autonomous AI	NA	12 hours	Beginner
66.	Building AI-Powered Chatbots Without Programming	4.8/5	11 hours	Beginner
67.	Developing AI Applications on Azure	4.4/5	18 hours	Advanced
68.	AI Fundamentals for Non-Data Scientists	4.7/5	7 hours	Beginner
69.	AI for Medical Diagnosis	4.7/5	20 hours	Intermediate
70.	AI & Law	4.8/5	22 hours	Beginner

Now, let’s move to the Coursera FREE Courses for Python-

Coursera FREE Courses for Python

These Python courses cover programming fundamentals, data handling, and basic analysis.

They are helpful if you:
→ Are new to programming
→ Want to understand Python syntax and logic
→ Plan to use Python for data science or automation

Preview access allows you to evaluate:
→ Teaching pace
→ Code examples
→ Course structure

For hands-on projects and full exercises, paid access or financial aid is required.

S/N	Course Name	Rating	Time to Complete	Level
71.	Crash Course on Python	4.8/5	28 hours	Beginner
72.	Python for Data Science, AI & Development	4.6/5	22 hours	Beginner
73.	Programming for Everybody (Getting Started with Python)	4.8/5	19 hours	Beginner
74.	Python Basics	4.8/5	36 hours	Beginner
75.	Python and Statistics for Financial Analysis	4.4/5	13 hours	Intermediate
76.	Introduction to Python Programming	4.4/5	28 hours	Beginner
77.	Learn to Program: The Fundamentals	4.7/5	25 hours	Beginner
78.	Python Programming Essentials	4.8/5	10 hours	Beginner
79.	Python Classes and Inheritance	4.7/5	18 hours	Intermediate
80.	Data Analysis with Python	4.7/5	14 hours	Beginner
81.	Data Analysis Using Python	4.6/5	17 hours	Beginner
82.	Computer Science: Programming with a Purpose	4.7/5	88 hours	Beginner
83.	Python Data Structures	4.9/5	19 hours	Beginner
84.	Using Python to Access Web Data	4.8/5	19 hours	Beginner
85.	Python Project for Data Science	4.5/5	8 hours	Intermediate
86.	Using Databases with Python	4.8/5	15 hours	Beginner
87.	Understanding and Visualizing Data with Python	4.7/5	21 hours	Beginner
88.	Python Functions, Files, and Dictionaries	4.8/5	31 hours	Beginner
89.	Data Collection and Processing with Python	4.7/5	16 hours	Beginner
90.	Applied Calculus with Python	NA	23 hours	Intermediate

Now, let’s move to the Coursera FREE Courses Mathematics-

Coursera FREE Courses in Mathematics

Mathematics courses in this section support data science, machine learning, and analytical thinking.

Topics include:
→ Calculus
→ Linear algebra
→ Probability
→ Discrete mathematics

These previews are best used to:
→ Refresh fundamentals
→ Identify gaps in math knowledge
→ Decide which topics need deeper study

Completing problem sets usually requires full enrollment.

S/N	Course Name	Rating	Time to Complete	Level
91.	Introduction to Calculus	4.8/5	58 hours	Intermediate Level
92.	Introduction to Mathematical Thinking	4.8/5	38 hours	Intermediate Level
93.	Data Science Math Skills	4.5/5	13 hours	Beginner Level
94.	Introduction to Logic	4.4/5	47 hours	Intermediate Level
95.	Math Prep: College & Work Ready	4.2/5	34 hours	Beginner Level
96.	Logic for Economists	4.4/5	7 hours	Advanced Level
97.	Traitement d’images : introduction au filtrage	NA	17 hours	Intermediate Level
98.	Single Variable Calculus	4.6/5	14 hours	Beginner Level
99.	Differential Equations Part I Basic Theory	4.7/5	14 hours	Beginner Level
100.	Fibonacci Numbers and the Golden Ratio	4.8/5	9 hours	Beginner Level
111.	Introduction to Complex Analysis	4.8/5	27 hours	Intermediate Level
112.	Calculus: Single Variable Part 1 – Functions	4.7/5	13 hours	Beginner Level
113.	Image and Video Processing	4.7/5	21 hours	Beginner Level
114.	Discrete Mathematics	3.3/5	41 hours	Intermediate Level
115.	Information Theory	4.7/5	33 hours	Beginner Level
116.	Calculus: Single Variable Part 2 – Differentiation	4.8/5	10 hours	Beginner Level
117.	Calculus: Single Variable Part 3 – Integration	4.8/5	17 hours	Beginner Level
118.	Éléments de Géomatique	4.7/5	23 hours	Intermediate Level
119.	Matrix Methods	4.1/5	6 hours	Intermediate Level
120.	Analytic Combinatorics	4.6/5	16 hours	Intermediate Level
121.	Analyse numérique pour ingénieurs	4.5/5	36 hours	Intermediate Level
122.	Games without Chance: Combinatorial Game Theory	4.3/5	13 hours	Beginner Level
123.	Calculus: Single Variable Part 4 – Applications	4.9/5	20 hours	Beginner Level
124.	Game-Theoretic Solution Concept with Spreadsheets	4.6/5	2 hours	Intermediate Level
125.	The Calculation – Cubic Model	4.8/5	15 hours	Beginner Level

FREE Information Technology Courses

These Information Technology courses focus on cloud platforms, cybersecurity, networking, and infrastructure.

They are useful for:
→ IT beginners
→ Developers entering cloud or security roles
→ Professionals exploring new tools

Preview Mode helps you assess:
→ Tool coverage
→ Platform depth (AWS, Google Cloud, etc.)
→ Course difficulty

Most labs and practical configurations are locked in the paid version.

S/N	Course Name	Rating	Time to Complete	Level
126.	Information Systems Auditing, Controls, and Assurance	4.7/5	8 hours	Beginner Level
127.	Containerized Applications on AWS	4.7/5	12 hours	Beginner Level
128.	Cybersecurity in Healthcare (Hospitals & Care Centres)	4.6/5	15 hours	Beginner Level
129.	Data Privacy Fundamentals	4.8/5	8 hours	Beginner Level
130.	Introduction to Machine Learning on AWS	4.3/5	6 hours	Beginner Level
131.	Getting Started with Automation 360	4.4/5	4 hours	Intermediate Level
132.	Intel® Network Academy – Network Transformation 101	4.5/4	18 hours	Beginner Level
133.	WhatsApp Business Platform for Developers	4.6/5	16 hours	Intermediate Level
134.	Analyzing and Visualizing Data the Google Way	NA	7 hours	Beginner Level
135.	Linux on LinuxONE	NA	1 hour	Beginner Level
136.	Building Cloud Native and Multicloud	4.9/5	12 hours	Beginner Level
137.	4G Network Fundamentals	4.7/5	18 hours	Intermediate Level
138.	Getting Started with Google Kubernetes Engine	NA	11 hours	Intermediate Level
139.	Mastering Digital Twins	4.1/5	5 hours	Beginner Level
140.	Chronicle SIEM: Introduction & Single Event Rules	NA	60 minutes	Beginner Level
141.	Tencent Cloud Solutions Architect Professional	NA	11 hours	Advanced Level
142.	Introduction and Programming with IoT Boards	4.6/5	7 hours	Beginner Level
143.	Cybersecurity Awareness and Innovation	4.6/5	6 hours	Beginner Level
144.	Software Developer Career Guide and Interview Preparation	4.7/5	11 hours	Beginner Level
145.	Programming with Cloud IoT Platforms	4.3/5	6 hours	Beginner Level
146.	Cyber Threat Hunting	NA	7 hours	Intermediate Level
147.	Intel® Network Academy – Network Transformation 102	4.6/5	9 hours	Beginner Level
148.	Security and Privacy for Big Data – Part 2	4.7/5	5 hours	Beginner Level
149.	Check Point Jump Start: Network Security	4.5/5	4 hours	Beginner Level
150.	Tencent Cloud Practitioner	4.7/5	8 hours	Beginner Level
151.	Preparing for the Google Cloud Professional Cloud Architect Exam	4.7/5	10 hours	Advanced Level
152.	Tencent Cloud Solutions Architect Associate	4.7/5	6 hours	Intermediate Level
153.	Deploying and Managing Windows Workloads on Google Cloud	NA	10 hours	Intermediate Level
154.	Check Point Jump Start: Harmony Endpoint Security	NA	6 hours	Beginner Level
155.	Tencent Cloud Developer Associate	NA	11 hours	Intermediate Level

Coursera FREE Courses Computer Science

Computer Science courses here cover core CS concepts, including:
→ Algorithms
→ Programming languages
→ Systems and security

These previews are valuable if you want to:
→ Understand academic CS explanations
→ Check mathematical and theoretical depth
→ Decide if the course fits your background

Preview Mode is ideal for theory, but not sufficient for full problem-solving practice.

S/N	Course Name	Rating	Time to Complete	Level
156.	Agile with Atlassian Jira	4.7/5	12 hours	Beginner Level
157.	Introduction to User Experience Design	4.5/5	6 hours	Beginner Level
158	Cryptography I	4.8/5	23 hours	Beginner Level
159.	Introduction to Cybersecurity Foundations	4.7/5	2 hours	Beginner Level
160.	Cybersecurity for Everyone	4.7/5	21 hours	Beginner Level
161.	Learn to Program: The Fundamentals	4.7/5	25 hours	Beginner Level
162.	Introduction to Medical Software	4.8/5	37 hours	Intermediate Level
163	Code Yourself! An Introduction to Programming	4.7/5	11 hours	Beginner Level
164.	What is the Metaverse?	4.6/5	9 hours	Beginner Level
165.	Discrete Optimization	4.8/5	65 hours	Intermediate Level
166.	Programming Languages, Part A	4.9/5	29 hours	Intermediate Level
167.	Introduction to Augmented Reality and ARCore	4.5/5	10 hours	Beginner Level
168.	Introduction to Applied Cryptography	NA	19 hours	Beginner Level
169.	Operations Research (1): Models and Applications	4.8/5	11 hours	Beginner Level
170.	Blockchain Security	NA	8 hours	Beginner Level
171.	Introduction to TCP/IP	4.6/5	7 hours	Beginner Level
172.	Securing Digital Democracy	4.8/5	14 hours	Beginner Level
173.	Problem-Solving, Python Programming, and Video Games	4.3/5	80 hours	Beginner Level
174.	Operating System Foundations	4.5/5	3 hours	Beginner Level
175.	Data Processing Using Python	4.1/5	29 hours	Beginner Level
176.	International Cyber Conflicts	4.5/5	8 hours	Beginner Level
177.	Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript	4.9/5	26 hours	Beginner Level
178.	Software Defined Networking	4.6/5	32 hours	Beginner Level
179.	Operations Research (2): Optimization Algorithms	4.8/5	12 hours	Intermediate Level
180.	Internet History, Technology, and Security	4.8/5	15 hours	Beginner Level
181.	Programming Languages, Part B	4.9/5	16 hours	Intermediate Level
182.	Developing Android Apps with App Inventor	4.4/5	37 hours	Beginner Level
183.	Cybersecurity Policy Foundations	4.3/5	1 hour	Beginner Level
184.	Basic Modeling for Discrete Optimization	4.8/5	27 hours	Intermediate Level
185.	System Validation: Automata and behavioral equivalences	4.4/5	4 hours	Intermediate Level
186.	FPGA computing systems: A Bird’s Eye View	4.5/5	18 hours	Beginner Level
187.	Learn to Program: Crafting Quality Code	4.6/5	13 hours	Beginner Level
188.	System Validation (3): Requirements by modal formulas	4.5/5	3 hours	Advanced Level
189.	Operations Research (3): Theory	5.0/5	14 hours	Advanced Level
190.	Creative Programming for Digital Media & Mobile Apps	4.1/5	25 hours	Beginner Level
191.	Programming Languages, Part C	4.9/5	18 hours	Beginner Level
192.	Algorithms, Part I	4.9/5	54 hours	Intermediate Level
193.	Computer Science: Programming with a Purpose	4.7/5	88 hours	Beginner Level
194.	Bitcoin and Cryptocurrency Technologies	4.6/5	23 hours	Beginner Level
195.	Algorithms, Part II	4.9/5	62 hours	Intermediate Level
196.	Computer Science: Algorithms, Theory, and Machines	4.7/5	20 hours	Intermediate Level
197.	Architecting Smart IoT Devices	4.1/5	27 hours	Intermediate Level
198.	Architecting Smart IoT Devices	4.3/5	33 hours	Intermediate Level
199.	Programming Mobile Applications for Android Handheld Systems: Part 1	4.6/5	28 hours	Beginner Level
200.	Analysis of Algorithms	4.5/5	20 hours	Advanced Level
201.	Audio Signal Processing for Music Applications	4.8/5	49 hours	Intermediate Level
202.	Functional Programming Principles in Scala (Scala 2 version)	4.9/5	44 hours	Intermediate Level
203.	Programming Mobile Applications for Android Handheld Systems: Part 2	4.7/5	20 hours	Beginner Level
204.	Machine Learning Basics	4.5/5	14 hours	Beginner Level
205.	Introduction to Architecting Smart IoT Devices	4.2/5	16 hours	Beginner Level
206.	Blockchain Scalability and its Foundations in Distributed Systems	4.5/5	11 hours	Beginner Level
207.	Software Architecture for the Internet of Things	4.3/5	26 hours	Beginner Level
208.	Approximation Algorithms Part I	4.7/5	35 hours	Beginner Level
209.	Automation Techniques in RPA	4.6/5	9 hours	Beginner Level
210.	Introduction à la programmation orientée objet (en Java)	4.8/5	32 hours	Intermediate Level

Coursera FREE Courses Business

These Business courses focus on strategy, management, finance, and leadership.

They are suitable for:
→ Students exploring business fundamentals
→ Professionals upgrading management skills
→ Tech learners adding business context

Preview access helps you evaluate:
→ Case-study style teaching
→ Practical relevance
→ Instructor approach

Certificates and graded assessments require full enrollment or financial aid.

S/N	Course Name	Rating	Time to Complete	Level
211.	Financial Markets	4.8/5	33 hours	Beginner Level
212.	Successful Negotiation: Essential Strategies and Skills	4.8/5	17 hours	Beginner Level
213.	Business Analytics with Excel: Elementary to Advanced	4.7/5	23 hours	Intermediate Level
214.	Private Equity and Venture Capital	4.8/5	9 hours	Beginner Level
215.	Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator	4.9/5	33 hours	Beginner Level
216.	Brand Management: Aligning Business, Brand, and Behaviour	4.9/5	17 hours	Beginner Level
217.	Organizational Analysis	4.6/5	25 hours	Beginner Level
218.	Management of Fashion and Luxury Companies	4.7/5	12 hours	Beginner Level
219.	The Strategy of Content Marketing	4.5/5	20 hours	Intermediate Level
220.	Corporate Strategy	4.8/5	10 hours	Beginner Level
221.	The Manager’s Toolkit: A Practical Guide to Managing People at Work	4.7/5	28 hours	Beginner Level
222.	Forensic Accounting and Fraud Examination	4.7/5	6 hours	Beginner Level
223.	Advanced Valuation and Strategy – M&A, Private Equity, and Venture Capital	4.6/5	16 hours	Advanced Level
224.	Food & Beverage Management	4.8/5	13 hours	Beginner Level
225.	International Leadership and Organizational Behavior	4.8/5	16 hours	Beginner Level
226.	Driving business towards the Sustainable Development Goals	4.8/5	15 hours	Beginner Level
227.	An Introduction to Consumer Neuroscience & Neuromarketing	4.7/5	25 hours	Beginner Level
228.	Behavioral Finance	4.4/5	5 hours	Beginner Level
229.	Principles of Sustainable Finance	4.7/5	16 hours	Intermediate Level
230.	Leading Diverse Teams & Organizations	4.8/5	22 hours	Beginner Level
231.	Python and Statistics for Financial Analysis	4.4/5	12 hours	Intermediate Level
232.	International Organizations Management	4.8/5	17 hours	Beginner Level
233.	Automation Business Analysis – Concepts and Principles	NA	14 hours	Beginner Level
234.	Innovation Through Design: Think, Make, Break, Repeat	4.7/5	15 hours	Beginner Level
235.	Sports Marketing	4.7/5	13 hours	Intermediate Level
236.	Financing and Investing in Infrastructure	4.8/5	11 hours	Beginner Level
237.	Corporate Sustainability. Understanding and Seizing the Strategic Opportunity	4.6/5	15 hours	Beginner Level
238.	AI, Business & the Future of Work	4.6/5	11 hours	Beginner Level
239.	Arts and Heritage Management	4.6/5	16 hours	Beginner Level
240.	Scaling Operations: Linking Strategy and Execution	4.6/5	11 hours	Beginner Level
241.	How to Manage a Remote Team	4.8/5	10 hours	Intermediate Level
242.	El Abogado del Futuro: Legaltech y la Transformación Digital del Derecho	4.9/5	15 hours	Beginner Level
243.	Social Impact Strategy: Tools for Entrepreneurs and Innovators	4.8/5	7 hours	Beginner Level
244.	Innovation Management	4.7/5	10 hours	Beginner Level
245.	Global Marketing: Building Iconic Brands	4.8/5	12 hours	Beginner Level
246.	Managing the Company of the Future	4.8/5	12 hours	Beginner Level
247.	Making Successful Decisions through the Strategy, Law & Ethics Model	4.8/5	21 hours	Beginner Level
248.	Launch Your Online Business	4.8/5	16 hours	Beginner Level
249.	How Software Ate Finance	4.7/5	16 hours	Beginner Level
250.	Conflict Transformation	4.8/5	17 hours	Beginner Level

How I Personally Use Coursera Free Previews

I use Coursera previews to understand course structure and teaching quality before enrolling. For theory-heavy subjects, preview access is often enough to decide whether the content matches my learning style.

For project-based learning, assignments, and certificates, I either enroll in the paid version or apply for financial aid. Preview Mode is best used as a decision-making step, not a complete learning path.

And here the list ends. So, these are the 250 Best Coursera FREE Courses on Data Science, Machine Learning, Artificial Intelligence, and Python. I will keep adding more free courses to this list.

FAQ

Conclusion

Coursera has changed how free learning works. In 2026, free access usually means Preview Mode, not full course completion.

This list helps you explore courses, understand their structure, and make informed decisions before investing time or money.

Use previews to test subjects, evaluate instructors, and choose the right learning path for your goals. I’ll keep updating this list as Coursera policies evolve.

All the Best!

Enjoy Learning!

Thank YOU!

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