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
Skills you'll gain: Marketing Analytics, Web Analytics, Google Gemini, Marketing Strategies, AI Enablement, Data Storytelling, Data Analysis, User Flows, ChatGPT, Digital Media Strategy, Analytics, Data-Driven Decision-Making, Customer Analysis, Process Analysis, Performance Metric
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Responsible AI, AI Security, AI Product Strategy, Google Cloud Platform, Data Ethics, Generative AI, Information Privacy, Artificial Intelligence, Data Security, Artificial Intelligence and Machine Learning (AI/ML), Interoperability, Model Evaluation, Model Deployment, Encryption, Applied Machine Learning, Machine Learning, Identity and Access Management, Data Quality
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Prompt Engineering, AI Personalization, Personalized Service, Marketing Communications, Customer Communications Management, Content Development and Management, Customer Engagement, Promotions and Campaigns
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Content Performance Analysis, Web Analytics, Multimedia, Web Content, Drive Engagement, Content Marketing, Content Strategy, Content Development and Management, Analytics, Customer experience improvement, Search Engine Optimization, Performance Analysis, Data Analysis, Information Architecture, Process Improvement and Optimization, Data-Driven Decision-Making
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Event-Driven Programming, Payment Systems, User Interface (UI), UI Components, MySQL, Application Design, Database Application, Python Programming, Transaction Processing, Application Development, User Interface (UI) Design, Database Management, Debugging
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Seaborn, Plot (Graphics), Matplotlib, Exploratory Data Analysis, Data Visualization Software, Statistical Visualization, Data Storytelling, Scatter Plots, Pandas (Python Package)
Mixed · Course · 1 - 4 Weeks
Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Variance Analysis, Dashboard, Key Performance Indicators (KPIs), Power BI, Performance Analysis, Performance Measurement, Web Analytics and SEO, Performance Reporting, Google Analytics, Performance Metric, Business Metrics, Analysis, Statistical Analysis, Business Intelligence, Trend Analysis, AI Enablement, Search Engine Optimization, Management Reporting, Data-Driven Decision-Making, Data Integration
Beginner · Course · 1 - 4 Weeks

Universitat Politècnica de València
Skills you'll gain: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Artificial Neural Networks, Embeddings, Text Mining
Intermediate · Course · 1 - 4 Weeks