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
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation
4.6
Rating, 4.6 out of 5 stars
3K reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
4.4
Rating, 4.4 out of 5 stars
781 reviews
Advanced · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
University of Pittsburgh
Mathematical Foundations for Data Science and Analytics
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Build toward a degree
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Statistical Modeling for Data Science Applications
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Data Science, Quantitative Research, Machine Learning, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution
Build toward a degree
4.2
Rating, 4.2 out of 5 stars
53 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
DeepLearning.AI
Linear Algebra for Machine Learning and Data Science
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Imperial College London
Mathematics for Machine Learning
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 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
University of Colorado Boulder
Expressway to Data Science: Essential Math
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives
4.5
Rating, 4.5 out of 5 stars
468 reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Status: Preview
Northeastern University
Applied Natural Language Processing in Engineering Part 1
Skills you'll gain: Natural Language Processing, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Machine Learning, Unstructured Data, Supervised Learning, Linear Algebra, Probability Distribution
Mixed · Course · 1 - 3 Months
Status: Preview
University of Washington
Computational Neuroscience
Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
1.1K reviews
Beginner · Course · 1 - 3 Months
University of Pittsburgh
Master of Data Science
Skills you'll gain: LLM Application, Tool Calling, Database Systems, Data Visualization, Database Design, Apache Spark, Predictive Modeling, Large Language Modeling, Database Management, Unsupervised Learning, Data Ethics, Bayesian Statistics, Data Visualization Software, Cloud Computing, Linear Algebra, Data Governance, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Analysis
Earn a degree
Degree · 1 - 4 Years
Status: Free Trial
Johns Hopkins University
Advanced Linear Models for Data Science 2: Statistical Linear Models
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus
4.6
Rating, 4.6 out of 5 stars
103 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Unsupervised Machine Learning
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra
4.7
Rating, 4.7 out of 5 stars
352 reviews
Intermediate · Course · 1 - 3 Months

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

Mathematics for Machine Learning and Data Science: DeepLearning.AI
Advanced Statistics for Data Science: Johns Hopkins University
Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
Statistical Modeling for Data Science Applications: University of Colorado Boulder
Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
Mathematics for Machine Learning: Imperial College London
Expressway to Data Science: Essential Math: University of Colorado Boulder
Applied Natural Language Processing in Engineering Part 1: Northeastern University
Computational Neuroscience: University of Washington
Master of Data Science: University of Pittsburgh

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.