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.

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review
Intermediate · Course · 1 - 3 Months

Sage Publications
Skills you'll gain: Corporate Communications, Strategic Communication, Stakeholder Engagement, Communication Planning, Media Relations, Stakeholder Management, Stakeholder Analysis, Public Relations, Digital Media Strategy, Crisis Management, Brand Strategy, Stakeholder Communications, Brand Management, Organizational Change, Branding, Communication Strategies, Organizational Leadership, Internal Communications, Communication, Issue Tracking
Beginner · Course · 3 - 6 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Model Training, Data Science, Data Analysis, Data-Driven Decision-Making, R (Software), Data Cleansing, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Data Transformation, Business Analytics, Decision Tree Learning, Customer Retention
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Analysis, Package and Software Management, R Programming, R (Software), Statistical Analysis, Tidyverse (R Package), Data Manipulation, Statistical Visualization, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Data Visualization Software, Model Deployment, Exploratory Data Analysis, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Responsible AI, Case Studies, Governance, Compliance Management, Agentic systems, Program Implementation, Governance Risk Management and Compliance, Regulatory Compliance, Artificial Intelligence, Accountability Frameworks, Risk Analysis, Risk Management Framework, Regulatory Requirements, Business Ethics, Risk Management, Accountability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Tableau Software, Business Intelligence, Data Storytelling, Business Analytics, Data Modeling, Data Visualization Software, Dashboard, Interactive Data Visualization, Dashboard Creation, Data-Driven Decision-Making, Data Wrangling, Data Cleansing, Data Preprocessing, Data Transformation, Extract, Transform, Load, Data Integration, Exploratory Data Analysis, Self Service Technologies, Correlation Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Decision Intelligence, Model Evaluation, Model Optimization, Data-Driven Decision-Making, Applied Machine Learning, A/B Testing, Statistical Machine Learning, Machine Learning Methods, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Machine Learning Algorithms, Performance Analysis, Statistical Analysis, Regulatory Requirements
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Credit Risk, Banking, Risk Management Framework, Bank Regulations, Legal Risk, Operational Risk, Financial Regulation, Risk Management, Financial Controls, Risk Control, Regulatory Compliance, Portfolio Risk, Compliance Management, Lending and Underwriting, Risk Analysis, Risk Mitigation, Financial Systems, Internal Controls, Financial Market, Business
★ 4.9 (20) · Mixed · Course · 1 - 4 Weeks

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

Skills you'll gain: Technical Analysis, Market Trend, Financial Trading, Market Data, Trend Analysis, Market Dynamics, Financial Market, Securities Trading, Market Opportunities, Market Analysis, Financial Forecasting, Analysis, Course Development, Probability
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Model Optimization, Model Deployment, Performance Analysis, Performance Measurement, Data Pipelines, Quality Assessment
Intermediate · Course · 1 - 4 Weeks