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: Web Scraping, Object Oriented Programming (OOP), Data Analysis, Python Programming, Pandas (Python Package), Data Collection, Data Structures, Data Manipulation, Programming Principles, NumPy, Application Programming Interface (API), Data Import/Export, File Management
4.6
Rating, 4.6 out of 5 stars
42K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Unsupervised Learning, Data Wrangling, SQL, Matplotlib, Supervised Learning, Data Literacy, Relational Databases, Applied Machine Learning, Data Visualization Software, Professional Networking, Predictive Modeling, Plotly, Dashboard, Exploratory Data Analysis, Generative AI, Seaborn, Data Visualization, Jupyter, Data Science, Web Scraping
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
146K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
What is Data Science?
Skills you'll gain: Data Literacy, Data Mining, Data Analysis, Data Science, Data-Driven Decision-Making, Big Data, Data Management, Analytics, Data Storage, Machine Learning, Deep Learning, Artificial Intelligence
4.7
Rating, 4.7 out of 5 stars
76K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Relational Databases, Stored Procedure, Database Design, Databases, Database Management, Data Analysis, Data Manipulation, 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: Rmarkdown, Shiny (R Package), Exploratory Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Regression Analysis, Plot (Graphics), Knitr, Statistical Analysis, Machine Learning Algorithms, R Programming, Statistical Methods, Plotly, Data Manipulation, Statistical Visualization, Statistical Modeling, Data Science, Machine Learning, GitHub
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Introduction to Data Science
Skills you'll gain: SQL, Data Literacy, Relational Databases, Data Mining, Jupyter, Stored Procedure, Data Analysis Software, Database Design, Data Science, Data Visualization Software, Data Analysis, Statistical Programming, Data Modeling, Databases, R Programming, Database Management, Data Cleansing, Computer Programming Tools, Stakeholder Engagement, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
100K reviews
Beginner · Specialization · 3 - 6 Months

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Status: Free Trial
University of California, Davis
SQL for Data Science
Skills you'll gain: Data Governance, SQL, Data Science, Database Design, Query Languages, Data Manipulation, Data Analysis, Data Access, Relational Databases, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Multiple educators
Data Science Foundations
Skills you'll gain: Pseudocode, Data Literacy, Algorithms, Dashboard, Data Mining, Jupyter, Correlation Analysis, Pandas (Python Package), Plot (Graphics), Web Scraping, Data Analysis Software, Data Visualization Software, Data Analysis, Data Science, Data Collection, Object Oriented Programming (OOP), Machine Learning Algorithms, Unsupervised Learning, Machine Learning, Project Management
4.6
Rating, 4.6 out of 5 stars
114K reviews
Beginner · Specialization · 3 - 6 Months
Status: Preview
Duke University
Data Science Math Skills
Skills you'll gain: Probability, General Mathematics, Bayesian Statistics, Calculus, Graphing, Descriptive Statistics, Algebra, Derivatives
4.5
Rating, 4.5 out of 5 stars
13K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: SQL, Statistical Hypothesis Testing, Relational Databases, Statistical Analysis, Dashboard, Descriptive Statistics, Jupyter, Data Visualization, Stored Procedure, Statistical Methods, Web Scraping, Probability Distribution, Probability & Statistics, Statistics, Data Analysis Software, Data Visualization Software, Data Science, Object Oriented Programming (OOP), Data Analysis, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
73K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Data Science Methodology
Skills you'll gain: Data Science, Data Modeling, Data Cleansing, Stakeholder Engagement, Business Analysis, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Business Process, Data Mining, Data Quality, Data Analysis, Application Deployment, User Feedback, Constructive Feedback
4.6
Rating, 4.6 out of 5 stars
21K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Status: AI skills
Google
Google Data Analytics
Skills you'll gain: Data Presentation, Rmarkdown, Data Storytelling, Data Cleansing, Data Visualization, Data Validation, Data Integrity, Interactive Data Visualization, Data Ethics, Ggplot2, R Programming, Dashboard, Data Quality, Stakeholder Communications, Data Literacy, Data Analysis, SQL, Interviewing Skills, Analytical Skills, Applicant Tracking Systems
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
173K reviews
Beginner · Professional Certificate · 3 - 6 Months