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: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Model Training, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Cleansing, Model Optimization
Mixed · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Embeddings, Generative Model Architectures, Model Evaluation, Applied Machine Learning, Recurrent Neural Networks (RNNs)
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Gemini, Google Gemini, SQL, Generative AI, Applied Machine Learning, Google Cloud Platform, Customer Relationship Management, Query Languages, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Cryptography, Encryption, Brute-force attacks, Python Programming, Programming Principles, Computational Logic, Program Development, Algorithms, Code Reusability, File I/O, File Management
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Google Cloud Platform, Model Deployment, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Content Performance Analysis, Google Analytics, Web Analytics and SEO, Keyword Research, Web Analytics, Conversion Funnel Analysis, Marketing Effectiveness, Digital Analysis, Marketing Strategies, Search Engine Optimization, Content Optimization, Campaign Management, Data Validation, Cross-Channel Marketing, Trend Analysis, Predictive Analytics, Performance Analysis, Variance Analysis
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Embeddings, Scikit Learn (Machine Learning Library), Transfer Learning, NumPy, Data Pipelines, Unstructured Data, Applied Machine Learning, Python Programming, Natural Language Processing, Dimensionality Reduction, AI Workflows, Machine Learning Methods, Scripting, Model Evaluation, Scientific Visualization, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Graphing, Scripting Languages, Data Visualization Software, Code Reusability, Debugging, Matlab, Numerical Analysis, Mathematical Software, Applied Mathematics, Data Manipulation, Linear Algebra
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: JSON
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Image Quality, Analysis, Model Optimization, Performance Analysis, Performance Metric, Quality Assessment, Data Pipelines, AI Workflows
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data-Driven Marketing, Web Analytics, Customer Engagement, Digital Analysis, Technical Communication, Campaign Management, Analysis, Performance Metric, Business Metrics, Data-Driven Decision-Making, Descriptive Analytics, Stakeholder Communications
Beginner · Course · 1 - 4 Weeks