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.

Skills you'll gain: Agile Software Development, Cloud Computing Architecture, Cloud Services, Cloud Deployment, Agile Methodology, DevOps, Kanban Principles, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Agile Project Management, Cloud-Native Computing, User Story, Cloud Storage, Sprint Retrospectives, Sprint Planning, CI/CD, Test Driven Development (TDD), Scrum (Software Development)
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Statistical Analysis, Statistical Modeling, Statistical Inference, Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning
Beginner · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: C++ (Programming Language), Go (Programming Language), File I/O, Data Structures, Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Unit Testing, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Graph Theory, Software Testing, Artificial Intelligence, Integration Testing, Software Design, System Design and Implementation
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Prompt Engineering, Anthropic Claude, Generative AI, Artificial Intelligence, Application Development, Application Programming Interface (API), Authentications, Context Management, User Interface and User Experience (UI/UX) Design, Content Creation, Customer Service
Intermediate · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Integration, Analysis, Case Studies, Business Analytics, Analytical Skills, Forecasting, Databases, Applied Machine Learning, Relational Databases, Innovation
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy
Mixed · Course · 1 - 3 Months

Skills you'll gain: Dashboard, Business Intelligence, Tableau Software, Business Reporting, Data Presentation, Data Visualization Software, Data Visualization, Stakeholder Communications, Interviewing Skills, LinkedIn, Presentations, Performance Improvement, Performance Analysis
Advanced · Course · 1 - 3 Months

King Abdullah University of Science and Technology
Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Engineering, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage, Data Science, Machine Learning
Beginner · Course · 1 - 3 Months