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.

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Vue.JS, JavaScript Frameworks, Web Development Tools, Front-End Web Development, Javascript, UI Components, Data Structures, Debugging
Beginner · 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

Skills you'll gain: Data Cleansing, Data Transformation, Data Preprocessing, Data Wrangling, Data Quality, Data Manipulation, Feature Engineering, Data Validation, Pandas (Python Package), Predictive Modeling, Exploratory Data Analysis, Quality Assurance, Descriptive Analytics, Technical Documentation
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Analysis, Logistic Regression, Report Writing, Correlation Analysis, Statistical Hypothesis Testing
Beginner · Specialization · 3 - 6 Months

Coursera
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Angular, Scalability, Application Development, Mobile Development, Web Applications, Cross Platform Development, Development Environment, UI Components, Software Architecture, TypeScript, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML)
Beginner · Course · 1 - 4 Weeks

Coursera
Intermediate · Course · 1 - 4 Weeks

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: Prompt Patterns, Salesforce, Artificial Intelligence, Generative AI Agents, Agentic systems, Customer Relationship Management (CRM) Software
Beginner · Course · 1 - 4 Weeks

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: 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