What are the best data science courses online?

Browse the data science courses below—popular starting points on Coursera. Python for Data Science, AI & Development: IBM What is Data Science?: IBM IBM Data Science Professional Certificates: IBM Data Science Fundamentals Part 1: Unit 1: Pearson Databases and SQL for Data Science with Python: IBM Foundations of Data Science: Google Python Project for Data Science: IBM Applied Data Science with Python: University of Michigan

What skills can I learn in data science courses on Coursera?

Data science courses on Coursera cover a comprehensive array of essential skills including: Fundamentals of data manipulation and data analysis using tools like Python and R Statistical analysis and probability modeling Machine learning techniques, including supervised and unsupervised learning Data visualization and communication using platforms like Tableau and PowerBI Big data technologies such as Hadoop and Spark Deep learning and artificial intelligence concepts Time series analysis for forecasting and trend analysis Data ethics and data privacy best practices

Do I need prior experience in programming to start these data science courses?

No prior programming experience is required to begin beginner data science courses . The curriculum is designed to support learners at various skill levels: Beginners can start with introductory courses on data analysis and basic programming. Intermediate learners can advance to more complex statistical methods and machine learning models. Advanced professionals can specialize in areas like artificial intelligence , deep learning , or big data technologies.

Ready to start learning data science but not sure which course to choose?

Take a short quiz to find the data science course that best fits your goals—whether you're exploring data analysis, Python programming, machine learning, or tools like SQL and Tableau. Take the quiz to discover your ideal starting point.

What data science certifications and credentials are available?

Data science courses on Coursera offer a variety of credentialing options: Professional certificates that demonstrate comprehensive data science skills Specialized course certificates in areas such as machine learning, business analytics, or data engineering Certifications from leading technology companies and academic institutions These certificates can help demonstrate data science skills, employability and career progression.

What career opportunities are available with skills in data science?

Skills in data science can lead to a wide range of career opportunities in various sectors including technology, healthcare, finance, and more: Data Scientist Data Analyst Machine Learning Engineer Business Intelligence Analyst Quantitative Analyst Data Engineers and Database Administrators Professionals in these roles utilize data science skills to extract insights from data, support decision-making, and innovate with new algorithms and predictive models. Discover which data science role suits you best by taking our career quiz !

How can I purchase data science training courses for my team?

Looking to enhance your team's data science skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data science training options and make a purchase, please visit our Coursera for Teams page.

Top Data Science Courses - Learn Data Science Online

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Data Science

Data Science Courses

Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization. You can build skills in programming with Python or R, data cleaning, and interpreting complex datasets. Many courses introduce tools like SQL for database management, Tableau for visual storytelling, and TensorFlow for developing AI models, showing how these skills are applied in real-world projects.

Popular Data Science Courses and Certifications

Status: Free Trial
IBM
What is Data Science?
Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence
4.7
Rating, 4.7 out of 5 stars
77K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Introduction to Data Science
Skills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, Decision Tree Learning, Predictive Modeling, Cloud Computing, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
101K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Tools for Data Science
Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of California, Irvine
Data Science Fundamentals
Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Data Strategy, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Cloud Computing
4.3
Rating, 4.3 out of 5 stars
258 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
MLOps | Machine Learning Operations
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
4.2
Rating, 4.2 out of 5 stars
547 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
Status: AI skills
Microsoft
Microsoft Cybersecurity Analyst
Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Penetration Testing, Azure Active Directory, Network Security, Computer Systems, Security Information and Event Management (SIEM), Security Testing, Encryption, Cybersecurity, System Testing, Cloud Security, Vulnerability Scanning, Threat Management, Cloud Computing, Authentications, Active Directory, Operating Systems, Data Management, Computer Security Incident Management
4.7
Rating, 4.7 out of 5 stars
2.9K reviews
Beginner · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: Free Trial
Microsoft
Microsoft Python Development
Skills you'll gain: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Version Control, Matplotlib, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Data Visualization, Scripting, GitHub, Debugging, Data Cleansing, Data Analysis, Automation, Cloud Computing
4.4
Rating, 4.4 out of 5 stars
545 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Full Stack Software Developer
Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Cloud-Native Computing, Istio, Software Architecture, Kubernetes, CI/CD, Cloud Computing Architecture, Application Deployment, React Redux, Node.JS, Responsive Web Design, Restful API, Django (Web Framework), Git (Version Control System), Server Side, Hypertext Markup Language (HTML), Cloud Computing, Data Import/Export, Engineering Software
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
59K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Microsoft
Microsoft Azure Developer Associate (AZ-204) Exam Prep
Skills you'll gain: Cloud Development, Microsoft Azure, Cloud Storage, Data Storage, Serverless Computing, Software Development, Cloud Security, Virtual Machines, Data Storage Technologies, CI/CD, Continuous Deployment, Development Environment, Cloud Management, Application Deployment, Cloud Applications, Data Security, Cloud Computing, Microsoft Power Automate/Flow, Event-Driven Programming, C# (Programming Language)
4.5
Rating, 4.5 out of 5 stars
287 reviews
Intermediate · Professional Certificate · 3 - 6 Months
Microsoft
Introduction to Microsoft Azure Cloud Services
Skills you'll gain: Microsoft Azure, Cloud Services, Virtualization, Cloud Computing, Virtual Machines, Cloud Platforms, Cloud Storage, Cloud Infrastructure, Virtual Private Networks (VPN), Public Cloud, General Networking, Database Management Systems, Scalability
4.5
Rating, 4.5 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Status: AI skills
Google Cloud
Google Cloud Data Analytics
Skills you'll gain: Looker (Software), Responsible AI, Data Lakes, Data Storytelling, Data Governance, Google Gemini, Data Visualization, Dashboard, Data Architecture, Data Pipelines, Data Visualization Software, Data Management, Cloud Infrastructure, Generative AI, Data Cleansing, Cloud Storage, Data Transformation, Cloud Computing, Identity and Access Management, Data Presentation
4.5
Rating, 4.5 out of 5 stars
215 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Cloud Architect
Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Load Balancing, Network Planning And Design
4.7
Rating, 4.7 out of 5 stars
59K reviews
Intermediate · Professional Certificate · 3 - 6 Months

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In summary, here are 10 of our most popular data science courses

What is Data Science? : IBM
Introduction to Data Science: IBM
Tools for Data Science: IBM
Data Science Fundamentals: University of California, Irvine
MLOps | Machine Learning Operations: Duke University
Microsoft Cybersecurity Analyst: Microsoft
Microsoft Python Development: Microsoft
IBM Full Stack Software Developer: IBM
Microsoft Azure Developer Associate (AZ-204) Exam Prep: Microsoft
Introduction to Microsoft Azure Cloud Services: Microsoft

Frequently Asked Questions about Data Science

Browse the data science courses below—popular starting points on Coursera.

Data science courses on Coursera cover a comprehensive array of essential skills including:

Fundamentals of data manipulation and data analysis using tools like Python and R
Statistical analysis and probability modeling
Machine learning techniques, including supervised and unsupervised learning
Data visualization and communication using platforms like Tableau and PowerBI
Big data technologies such as Hadoop and Spark
Deep learning and artificial intelligence concepts
Time series analysis for forecasting and trend analysis
Data ethics and data privacy best practices ‎

No prior programming experience is required to begin beginner data science courses. The curriculum is designed to support learners at various skill levels:

Beginners can start with introductory courses on data analysis and basic programming.
Intermediate learners can advance to more complex statistical methods and machine learning models.
Advanced professionals can specialize in areas like artificial intelligence, deep learning, or big data technologies.‎

Data science courses on Coursera offer a variety of credentialing options:

Professional certificates that demonstrate comprehensive data science skills
Specialized course certificates in areas such as machine learning, business analytics, or data engineering
Certifications from leading technology companies and academic institutions
These certificates can help demonstrate data science skills, employability and career progression.‎

Skills in data science can lead to a wide range of career opportunities in various sectors including technology, healthcare, finance, and more:

Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Quantitative Analyst
Data Engineers and Database Administrators
Professionals in these roles utilize data science skills to extract insights from data, support decision-making, and innovate with new algorithms and predictive models.

Discover which data science role suits you best by taking our career quiz!‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.