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.

Coursera
Skills you'll gain: Stakeholder Communications, Stakeholder Analysis, Data Presentation, Data Analysis, Exploratory Data Analysis, Business Communication, Model Evaluation, Responsible AI, Statistical Methods
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, Advanced Analytics, R Programming, Statistical Methods, Data Validation, Verification And Validation, Plot (Graphics), Exploratory Data Analysis, Technical Communication
Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Command-Line Interface, Amazon CloudWatch, AWS CloudFormation, Root Cause Analysis, Amazon DynamoDB, Customer Relationship Building, Network Troubleshooting, Amazon Web Services, Customer Relationship Management, Software Architecture, Linux Commands, Cloud Computing, Linux, Amazon S3, Web Applications, Information Technology, Customer Service, Software Development
Beginner · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Interactive Data Visualization, Data Visualization, Heat Maps, Data Visualization Software, Technical Communication, Geospatial Mapping, Data Mapping, Hypertext Markup Language (HTML), GitHub, Usability, Public Health, Document Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Statistical Methods, Data Analysis, Statistical Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months

Intermediate · Specialization · 3 - 6 Months

Intermediate · Course · 3 - 6 Months

University of California San Diego
Skills you'll gain: Unit Testing, Data Structures, Java, JUnit, Performance Tuning, Debugging, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science, Unstructured Data
Intermediate · Course · 1 - 3 Months

Coursera
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Collaborative Software, Software Development Tools, Code Review, Issue Tracking, Command-Line Interface
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
Intermediate · Course · 1 - 4 Weeks