Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.
Georgia Institute of Technology
Skills you'll gain: Verbal Communication Skills, Cultural Sensitivity, Public Speaking, English Language, Vocabulary, Language Learning, Business Communication, Communication, Interpersonal Communications, Professionalism, Active Listening
Mixed · Course · 1 - 3 Months

Meta
Skills you'll gain: Jest (JavaScript Testing Framework), React.js, Web Development Tools, Web Applications, Event-Driven Programming, JavaScript Frameworks, Application Programming Interface (API), Application Development, UI Components, Unit Testing, Front-End Web Development, Software Design Patterns, Context Management, Cascading Style Sheets (CSS), Javascript, Hypertext Markup Language (HTML), Data Management
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Transfer Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, AI Workflows, Performance Tuning
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Data Science, Random Forest Algorithm, Python Programming, Data Preprocessing, NumPy, Regression Analysis, Data Analysis, Feature Engineering, Logistic Regression, Performance Tuning
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Grammar, Writing, Proofreading, Editing, Peer Review, English Language
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Requirements Analysis, Milestones (Project Management), Management Reporting, Stakeholder Management, Project Management, Negotiation, Quality Management, Project Scoping, Stakeholder Analysis, Project Documentation, Project Performance, Project Planning, Interviewing Skills, Communication Strategies, Problem Solving
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Decision Making, Driving engagement, Behavioral Economics, Human Factors, UI/UX Strategy, User Experience, Persona (User Experience), User Centered Design, User Experience Design, Usability Testing, Psychology, Experimentation, Design Strategies, Trustworthiness, Motivational Skills, Social Skills, Behavioral Management, Product Management, Ethical Standards And Conduct, Digital Marketing
Beginner · Course · 1 - 3 Months
University of California, Irvine
Skills you'll gain: Business Writing, Negotiation, Work Breakdown Structure, Project Performance, Business Correspondence, Concision, Project Planning, Communication Planning, Editing, Change Control, Grammar, Project Management, Proofreading, Risk Management, Emotional Intelligence, Performance Metric, Open Mindset, Relationship Building, Team Management, Communication
Beginner · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Data Storytelling, Dashboard, Tableau Software, Data Visualization, Business Analytics, Business Process, Business Process Improvement, Presentations, Data Visualization Software, Data Analysis, Visualization (Computer Graphics), Stakeholder Communications, Data Manipulation
Mixed · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content Accessibility Guidelines, Web Design and Development, Usability, Semantic Web, Cascading Style Sheets (CSS), Cloud Hosting, Web Servers, Data Validation, Web Development Tools
Beginner · Course · 1 - 4 Weeks