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
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Data Visualization, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Data Mining, Matplotlib, Generative AI, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
145K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Python for Data Science, AI & Development
Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management
4.6
Rating, 4.6 out of 5 stars
42K 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, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning Algorithms, Plotly, Machine Learning, GitHub
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 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
76K reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Preview
Simplilearn
Data Analytics Course with Generative AI
Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Advanced Analytics, Business Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Prompt Engineering, Interactive Data Visualization, Data Visualization, Real Time Data, Predictive Analytics, Data-Driven Decision-Making, Data Storytelling, Predictive Modeling, ChatGPT, Forecasting, Data Transformation, Descriptive Analytics
Beginner · Course · 1 - 4 Weeks
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 Analysis Software, Data Cleansing, Software Development Tools, GitHub, Business Analysis, Cloud Computing, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
100K 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
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
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Python Programming, Probability & Statistics, Predictive Modeling, Computer Programming Tools, Data Science, 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: Free Trial
Status: AI skills
Google
Google Data Analytics
Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Rmarkdown, Interactive Data Visualization, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, LinkedIn, Interviewing Skills, Applicant Tracking Systems
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
171K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Relational Databases, Stored Procedure, Python Programming, Data Science, Data Structures, Computer Programming Tools, Data Analysis Software
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
72K reviews
Beginner · Specialization · 3 - 6 Months
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
IBM
Applied Data Science
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Jupyter, Matplotlib, Data Import/Export, Pandas (Python Package), Predictive Modeling, Data Science, Python Programming, Data Structures, Machine Learning
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
59K reviews
Beginner · Specialization · 3 - 6 Months