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.

The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Engineering Analysis, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Electrical Engineering, Derivatives
Beginner · Course · 1 - 3 Months

Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Geographic Information Systems, GIS Software, Geospatial Information and Technology, Spatial Data Analysis, Spatial Analysis, Metadata Management, Query Languages, Technical Documentation, SQL, Data Validation, Global Positioning Systems, Geospatial Mapping, Data Quality, PostgreSQL, Data Management, File Management, Data Mapping, Data Analysis, Data Structures, Python Programming
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Customer Relationship Management (CRM) Software, Marketing Automation, Customer Relationship Management, Email Automation, Customer Analysis, Customer Engagement, Content Performance Analysis, Customer Retention, Customer Communications Management, AI Personalization, Customer experience improvement, Automation, Workflow Management, Trend Analysis, Data-Driven Decision-Making, Workforce Planning, Communication
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SolidWorks (CAD), Mechanical Design, Assembly Drawing, 3D Modeling, Computer-Aided Design, Integration Testing, Technical Design, Industrial Design, Functional Design, Structural Engineering
Intermediate · Course · 1 - 4 Weeks

Coursera
Beginner · Course · 1 - 4 Weeks

Coursera
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Real Time Data, Predictive Modeling, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Statistical Modeling
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Vision Transformer (ViT), MLOps (Machine Learning Operations), Generative AI, Model Deployment, Tensorflow, Performance Tuning, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, System Design and Implementation, Technical Communication, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Web Analytics, Process Analysis, Heat Maps, Marketing Analytics, Business Analytics, Customer Analysis, Data Visualization, Customer Insights, Requirements Analysis, Analytics, Interactive Data Visualization, Process Design, Business Requirements, Data-Driven Decision-Making, Predictive Analytics, Customer Retention, Performance Metric, Key Performance Indicators (KPIs), Statistical Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Auditing, Financial Regulations, Compliance Training, Regulatory Requirements, Compliance Management, Trend Analysis
Beginner · Course · 1 - 4 Weeks