Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Northeastern University
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Infographics, Tableau Software, Dashboard, Data Analysis, Data-Driven Decision-Making, Data Ethics, Trend Analysis, Business Analytics, Peer Review
Beginner · Course · 1 - 4 Weeks

JetBrains
Skills you'll gain: Application Development, Generative AI Agents, Large Language Modeling, AI Enablement, Software Development Tools, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), IntelliJ IDEA, Generative AI, Code Review, Agentic systems, Integrated Development Environments, Software Development, Computer Programming, Debugging, Software Development Life Cycle
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Data Warehousing, Data Integration, Database Administration, SQL, Relational Databases, Data Analysis, Exploratory Data Analysis, Google Analytics
Beginner · Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: User Story, Backlogs, Scaled Agile Framework, Project Estimation, Sprint Planning, Agile Project Management, Agile Software Development, Scrum (Software Development), Sprint Retrospectives, Agile Methodology, Stakeholder Communications, Team Building, Agile Product Development, Jira (Software), Estimation, Planning, Project Management, Kanban Principles, Product Management, Prioritization
Beginner · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Evaluation, Applied Machine Learning, Google Cloud Platform, Image Analysis, Model Deployment, Computer Vision, Machine Learning, Cloud Storage, Cloud API
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Stakeholder Management, Agile Project Management, Stakeholder Engagement, Jira (Software), Sprint Retrospectives, Scrum (Software Development), Sprint Planning, User Story, Backlogs, Kanban Principles, Agile Product Development, Lean Methodologies, Agile Software Development, Agile Methodology, Team Management, Risk Management, Project Management Institute (PMI) Methodology, Prioritization, Azure DevOps, Test Planning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Logistic Regression, Exploratory Data Analysis, Predictive Analytics, Analytics, E-Commerce, Big Data, Applied Machine Learning, Data Analysis, Classification Algorithms
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, Dataflow, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Modeling, Statistical Machine Learning, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Embeddings, Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Linear Algebra
Intermediate · Course · 1 - 4 Weeks