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.

Coursera
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives
Mixed · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MongoDB, Full-Stack Web Development, Node.JS, Web Development, Web Applications, Front-End Web Development, JavaScript Frameworks, Server Side, Back-End Web Development, Data Store, Network Routing, Database Development, Hypertext Markup Language (HTML), Development Environment, Middleware, User Interface (UI) Design
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Platforms, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Software Engineering, Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Cloud API, Google Cloud Platform, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Business Analytics, Business Metrics, Analytics, Business Process Improvement, Business Intelligence, Business Process, Tableau Software, Business Analysis, Data Analysis, Key Performance Indicators (KPIs), Web Analytics, Data-Driven Decision-Making, Digital Transformation, E-Commerce, Financial Services, SQL, Decision Making
Mixed · Course · 1 - 3 Months

Skills you'll gain: Redis, NoSQL, Real Time Data, Data Structures, Event-Driven Programming, Scalability, Big Data, Query Languages, Data Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Mining, Data Cleansing, Transaction Processing, Predictive Analytics, Customer Analysis, Unsupervised Learning, Data Preprocessing, R Programming, Data Analysis, Market Analysis, Data Wrangling, Data Transformation, Data Manipulation, Interactive Data Visualization, Statistical Visualization, Consumer Behaviour, Performance Tuning, Cross Selling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Embeddings, Applied Machine Learning, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, PyTorch (Machine Learning Library), Vision Transformer (ViT), Image Analysis, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Stakeholder Management, Stakeholder Communications, Stakeholder Analysis, Stakeholder Engagement, Leadership Studies, Strategic Communication, Communication Strategies, Expectation Management, Business Leadership, Project Management, Relationship Management, Customer Relationship Building, Change Management, Communication, Data Visualization, Continuous Monitoring
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Photo/Video Production and Technology, Image Analysis
Beginner · Course · 1 - 4 Weeks