
Build toward a degree
Professional Certificate

Course

Professional Certificate

IBM
Build toward a degree
Professional Certificate

Build toward a degree
Professional Certificate

Professional Certificate

IBM
Build toward a degree
Professional Certificate

IBM
Build toward a degree
Professional Certificate

University of Pittsburgh
Earn a degree
Degree

University of Illinois Urbana-Champaign
Earn a degree
Degree

Northeastern University
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Degree

University of Colorado Boulder
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Degree

Specialization

University of Pittsburgh
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Specialization

Specialization

Specialization
The language used throughout the course, in both instruction and assessments.

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, AI Security, Gemini, AI Enablement, Google Workspace, Productivity Software, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Model Evaluation, AI Workflows, Workplace inclusivity, Social Impact, Operational Efficiency, Human Factors, Critical Thinking, Analysis, Data Security, Natural Language Processing
Beginner · Specialization · 3 - 6 Months

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), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, AI Enablement, AI Personalization, Generative AI, Email Automation, LLM Application, Data Analysis, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning
Beginner · Specialization · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
Beginner · Specialization · 1 - 3 Months

IBM
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, Model Evaluation, SQL, Data Transformation, Data Analysis, Statistical Visualization, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Regression Analysis, Feature Engineering, Statistical Hypothesis Testing, Sampling (Statistics), Data Ethics, Logistic Regression, Model Evaluation, Data Visualization Software, Descriptive Statistics, Data Analysis, Statistical Analysis, Tableau Software, Object Oriented Programming (OOP), Data Science, Machine Learning, Interviewing Skills, Python Programming
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
Beginner · Professional Certificate · 3 - 6 Months

IBM
Skills you'll gain: Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Visualization, Model Evaluation, SQL, Unsupervised Learning, Interactive Data Visualization, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Plotly, Data Mining, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Data Pipelines, Interactive Data Visualization, Business Reporting, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, AI Enablement, Business Analysis, Data Analysis, SQL
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing
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Intermediate · Specialization · 3 - 6 Months

Stanford University
Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Clinical Research Ethics, Unstructured Data, Health Care, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence
Beginner · Specialization · 3 - 6 Months

Multiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
Beginner · Specialization · 3 - 6 Months
Coursera data science courses teach essential skills such as statistical analysis, machine learning, data visualization, and programming in Python or R. By developing these skills, you'll be prepared for a variety of data science roles. From hands-on projects to comprehensive Professional Certificates and degrees, our recognized data science credentials from leading universities and companies are tailored for everyone from new learners to experienced professionals.
No, many data science courses on Coursera do not require prior experience. The platform caters to all skill levels, offering everything from introductory courses that cover basic statistics and programming to advanced courses for seasoned practitioners. Course descriptions include a difficulty level and guidance on any necessary background knowledge.
Data science courses on Coursera prepare you for roles such as data analyst, data scientist, and machine learning engineer. Designed and taught by industry experts, these courses are applicable across fields like finance, healthcare, retail, technology, and manufacturing, setting you up for data-driven careers. You'll gain skills in statistical analysis, machine learning, Python or R programming, data visualization, and database management.
Yes, data science courses on Coursera, particularly those from top universities like Stanford and Michigan or tech giants like Google and IBM, are recognized by employers. Professional Certificates and Specializations are highly valued as they demonstrate comprehensive knowledge and practical skills in data analysis, machine learning, and programming. Many courses are designed with direct industry input, ensuring they teach skills that meet current workplace demands.
Data science is a technical field, but many Coursera courses are designed to support beginners with no prior experience. Introductory courses break down complex topics like Python, statistics, and data analysis into manageable steps. With guided projects, hands-on practice, and structured learning paths, you can build skills gradually and gain confidence as you progress.
Yes! Coursera offers data science courses with free audit options, giving access to all videos and readings without payment. Free versions typically exclude graded assignments, certificates of completion, and instructor feedback. For full course features, including certificates of completion, you’ll need to pay for individual courses or subscribe to Coursera Plus. Financial aid is available for eligible learners. Look for the "Audit" option on the course enrollment page to access free versions.
Coursera offers a variety of data science programs including hands-on Guided Projects, comprehensive Courses with video lectures and assignments, Specializations to master specific skills, and Professional Certificates to build career readiness. Degrees are also available, offering a cost-effective, flexible way to earn credentials from top universities and industry leaders. Start your learning journey today with Coursera.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (7/1/2024 - 7/1/2025)