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

Browse
Data Science

Cours en Data Science

Les cours en data science peuvent vous aider à comprendre comment analyser des données, créer des modèles et évaluer leurs performances. Vous pouvez développer des compétences en statistique, apprentissage automatique, préparation des données et visualisation. De nombreux cours utilisent des langages et bibliothèques courants pour travailler sur des projets pratiques.

Cours et certificats populaires en Data Science

Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Web Scraping, Data Visualization, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Peer Review, Supervised Learning, Data Transformation, Feature Engineering, Jupyter, Data Analysis, Data Literacy, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
148K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
Google
Google Data Analytics
Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Spreadsheet Software, Data Analysis, LinkedIn, Dashboard, Data Structures, Python Programming, Interviewing Skills, Professional Development
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
179K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
10K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
Microsoft
Microsoft Power BI Data Analyst
Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Data Literacy, Data Visualization, Data Storage, Microsoft Power Platform, Data Collection, Data Quality, Business Analytics, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Statistical Visualization, Business Intelligence, Data Integration, Data Storage Technologies, SQL, Data Manipulation
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
8.7K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Analyst
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Web Scraping, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, SQL, Data Analysis, Big Data, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
97K reviews
Beginner · Professional Certificate · 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, Threat Management, Vulnerability Scanning, 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
Status: AI skills
DeepLearning.AI
DeepLearning.AI Data Analytics
Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, LinkedIn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
221 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
IBM Machine Learning
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Data Cleansing, Data Access, Deep Learning, Data Analysis, Applied Machine Learning, Predictive Modeling, Statistical Inference, Data Science, Machine Learning Algorithms, Machine Learning, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
3.5K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
Coursera
Python, SQL, Tableau for Data Science
Skills you'll gain: Data Storytelling, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Dashboard, Feature Engineering, Time Series Analysis and Forecasting, Database Management, Exploratory Data Analysis, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning
4.2
Rating, 4.2 out of 5 stars
18 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
IBM RAG and Agentic AI
Skills you'll gain: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Deployment, Application Development, Large Language Modeling, UI Components, Semantic Web, Artificial Intelligence, Software Development
4.6
Rating, 4.6 out of 5 stars
554 reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Engineering
Skills you'll gain: NoSQL, Apache Spark, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Database Administration, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
61K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Microsoft
Microsoft Data Visualization
Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Visualization Software, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design
4.7
Rating, 4.7 out of 5 stars
141 reviews
Beginner · Professional Certificate · 3 - 6 Months

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

IBM Data Science: IBM
Google Data Analytics: Google
Google Advanced Data Analytics: Google
Microsoft Power BI Data Analyst: Microsoft
IBM Data Analyst: IBM
Microsoft Cybersecurity Analyst: Microsoft
DeepLearning.AI Data Analytics: DeepLearning.AI
IBM Machine Learning: IBM
Python, SQL, Tableau for Data Science: Coursera
IBM RAG and Agentic AI: IBM

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.