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: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Mathematical Modeling, Systems Thinking, Strategic Decision-Making, Innovation, Social Sciences, Strategic Thinking, Decision Making, Complex Problem Solving, Critical Thinking, Network Analysis, Economics, Probability, Market Dynamics
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, Version Control
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

University of Illinois Urbana-Champaign
Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Scraping, Model Evaluation, Web Analytics and SEO, Machine Learning, Information Architecture, Probability & Statistics
Mixed · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Customer experience improvement, Process Mapping, Statistics, Statistical Analysis, Stakeholder Analysis
Build toward a degree
Beginner · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Storage, Data Architecture, Cloud Computing Architecture, API Gateway, Software Architecture
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Generative Model Architectures, Product Development, Innovation, ChatGPT, Product Roadmaps, Usability Testing, Product Planning, Responsible AI, Commercialization, Artificial Intelligence, Product Strategy, Project Management Life Cycle, OpenAI
Beginner · Professional Certificate · 3 - 6 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Performance Analysis, Sports Medicine, Athletic Training, Patient Evaluation, Exercise Science, Injury Prevention, Performance Reporting, Rehabilitation, Coaching, Health Technology, Load Balancing, Clinical Assessment, Decision Support Systems, Data Integration, Global Positioning Systems
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
Mixed · Course · 1 - 3 Months
Duke University
Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)
Beginner · Specialization · 3 - 6 Months