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.
University of Pennsylvania
Skills you'll gain: Ancient History, Art History, Liberal Arts, World History, Ethical Standards And Conduct, Anthropology, Sociology, Psychology
Mixed · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Context Management, User Interface (UI), Vector Databases, Debugging
Advanced · Course · 1 - 3 Months

Berklee
Skills you'll gain: Intellectual Property, Music History, Contract Negotiation, Music, Musical Composition, Peer Review, Lawsuits, Litigation and Civil Justice, Negotiation, Media Production, Instrumental Music, Automation, Entrepreneurship, File Management, Business, Law, Regulation, and Compliance, Writing, Digital Assets, Innovation, Team Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: General Data Protection Regulation (GDPR), Information Privacy, Personally Identifiable Information, Data Security, Data Governance, Data Ethics, Data Integrity, Vulnerability Assessments, Law, Regulation, and Compliance, Big Data, Cryptography
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Multimodal Prompts, Google Cloud Platform, Artificial Intelligence, Supervised Learning, Machine Learning
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Queen Mary University of London
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Data Quality, Probability & Statistics, Statistical Methods, Digital Marketing, Exploratory Data Analysis, Logistic Regression, Market Research, Data Preprocessing, Return On Investment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: C# (Programming Language), Object Oriented Programming (OOP), Web Scraping, Programming Principles, Microsoft Visual Studio, .NET Framework, Data Structures, Software Design Patterns, File I/O, Application Development, Computational Logic, Algorithms, Hypertext Markup Language (HTML), Unit Testing, Debugging
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Revenue Recognition, Accrual Accounting, Financial Statements, Accounting, Financial Accounting, Generally Accepted Accounting Principles (GAAP), Accounting Records, Inventory Accounting, Accounts Receivable, Income Statement, Balance Sheet, Financial Reporting, Cash Flows
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Web Analytics and SEO, Search Engine Optimization, Search Engine Marketing, AI Enablement, Generative AI, Marketing Strategy and Techniques, Blogs, Digital Marketing, Content Marketing, Content Creation, Web Content, Semantic Web, Keyword Research, Content Strategy, Growth Strategies, Artificial Intelligence, Web Analytics, Competitive Analysis, Performance Measurement
Intermediate · Specialization · 1 - 3 Months
Coursera
Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Infrastructure Security, Security Controls, Threat Modeling, Model Deployment, Model Evaluation, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Containerization, Engineering
Intermediate · Course · 1 - 4 Weeks