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: Graph Theory, Network Analysis, Social Network Analysis, NoSQL, Data Science, Query Languages, Visualization (Computer Graphics), Applied Machine Learning, Data Transformation, Big Data, Python Programming, Spatial Data Analysis, Advanced Analytics, Deep Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Simulations
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Database Design, Frontend Integration, Database Application, Web Applications, Web Development, Authentications, Web Design and Development, Full-Stack Web Development, Back-End Web Development, User Accounts, Data Management, Visual Basic (Programming Language), Scripting Languages, Data Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Alex Genadinik
Skills you'll gain: Overcoming Objections, Marketing Psychology, Target Audience, Market Research, Active Listening, Rapport Building, Closing (Sales), B2B Sales, Sales Strategy, Price Negotiation, Selling Techniques, Contract Negotiation, Marketing, Sales, Innovation, Content Performance Analysis, Social Media Content, Sales Prospecting, Marketing Strategies, Marketing Communications
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Trend Analysis, Analysis, Project Risk Management, Project Controls, Project Performance, Risk Management, Dashboard, Key Performance Indicators (KPIs), Project Management, Continuous Monitoring, Cost Management, Timelines, Scope Management, Performance Measurement, Real Time Data, Budget Management
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
Beginner · Course · 1 - 4 Weeks

Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SQL, SAS (Software), Stored Procedure, Metadata Management, Data Integrity, Query Languages, Relational Databases, Data Manipulation, Data Analysis Software, Data Transformation, Data-Driven Decision-Making, Performance Tuning, Data Governance, Scripting, Debugging, Data Wrangling, Database Management, Data Analysis, Computational Logic, Data Management
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, Artificial Neural Networks, LLM Application, Large Language Modeling, Data Ethics, Responsible AI, Applied Machine Learning, Model Evaluation, Performance Tuning, Performance Testing
Intermediate · Course · 1 - 4 Weeks
University of Pennsylvania
Skills you'll gain: Optimism, Personal Development, Resilience, Positive Behavior Support, Psychology, Working With Children, Education and Training, Research, Visionary, Human Development, Creativity
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Shiny (R Package), Application Deployment, Server Side, Application Lifecycle Management, Authentications, User Interface (UI) Design, Interactive Design, Business Logic, Application Design, Application Development, Dashboard, Security Controls, Web Applications, R (Software)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Modeling, Risk Modeling, Decision Tree Learning, Data Analysis, R Programming, Logistic Regression, Feature Engineering, Model Deployment, Data Import/Export, Exploratory Data Analysis, Data Preprocessing
Beginner · Course · 1 - 4 Weeks