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

Results for "data science"

Status: Free Trial
IBM
Python for Data Science, AI & Development
Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis
4.6
Rating, 4.6 out of 5 stars
42K reviews
Beginner · Course · 1 - 3 Months
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
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Supervised Learning, Exploratory Data Analysis, Feature Engineering, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
146K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Foundations of Data Science
Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytics, Business Analytics, Data Storytelling, Big Data, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Artificial Intelligence
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months

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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
2.9K reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, R (Software), Cloud Computing, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
100K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Michigan
Applied Data Science with Python
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Jupyter, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of California, Davis
SQL for Data Science
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks
Status: Preview
Duke University
Data Science Math Skills
Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives
4.5
Rating, 4.5 out of 5 stars
13K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Big Data, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
4.6
Rating, 4.6 out of 5 stars
115K reviews
Beginner · Specialization · 3 - 6 Months