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.

Google Cloud
Skills you'll gain: Looker (Software), Data Modeling, Exploratory Data Analysis, Data Validation, Data Maintenance, Data Analysis, Data Visualization, Data Analysis Software, Google Cloud Platform
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, Model Training, DevOps, Software Quality Assurance, Maintainability, CI/CD, Model Deployment, Performance Tuning, Security Testing, Model Evaluation, Secure Coding, Performance Testing, Continuous Monitoring, Integration Testing, Sampling (Statistics), Data Validation, Python Programming
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Applied Machine Learning
Advanced · Course · 1 - 4 Weeks
Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, Legal Technology, People Analytics, Job Evaluation, Data-Driven Decision-Making, Benchmarking, AI literacy, Labor Compliance, Generative AI Agents, Data Ethics, Analysis, AI Integrations
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Algorithms, Applied Mathematics, Data Structures, Theoretical Computer Science, Numerical Analysis, Computational Thinking, Mathematical Theory & Analysis, Performance Tuning, Logical Reasoning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Data Visualization, Data Presentation, Dashboard, Amazon Web Services, Interactive Data Visualization, Data Visualization Software, Dashboard Creation, Amazon Redshift, Big Data, Cloud Security, Security Controls, Encryption, Applied Machine Learning, Amazon Elastic Compute Cloud, Key Management, Cloud-Based Integration, Data Integration, Predictive Modeling
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training
Advanced · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Agile Methodology, Scrum (Software Development), Agile Project Management, Sprint Retrospectives, Agile Software Development, Sprint Planning, User Story, Backlogs, Agile Product Development, Project Estimation, Project Management, Estimation, Project Planning
Mixed · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Model Optimization, Responsible AI, Model Evaluation, Project Management, Performance Improvement, AI literacy, Risk Modeling, Performance Metric, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Applied Machine Learning, Research Design
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Customer Retention, Customer Analysis, Business Metrics, Data Analysis, Performance Metric, Customer Insights, Analysis, Performance Measurement, Trend Analysis, Benchmarking, Key Performance Indicators (KPIs), Pareto Chart, Descriptive Analytics, Root Cause Analysis, Consumer Behaviour
Intermediate · Course · 1 - 4 Weeks