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: Data Preprocessing, Large Language Modeling, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Quality, Data Analysis, Natural Language Processing, Classification Algorithms
Intermediate · Course · 1 - 3 Months

H2O.ai
Skills you'll gain: Large Language Modeling, Model Evaluation, Collaborative Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, LLM Application, Data Preprocessing, Prompt Engineering, Generative Model Architectures, Training Programs, Data Validation, Data Cleansing, Natural Language Processing, Applied Machine Learning, Transfer Learning, Verification And Validation, Data Quality, AI Workflows
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Deployment, Tensorflow, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Data Processing, Machine Learning, Supervised Learning, Data Science
Advanced · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Cloud Platform, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Cloud Computing, Classification Algorithms
Intermediate · Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Computational Logic, System Requirements, Functional Requirement, Theoretical Computer Science, Systems Analysis, Verification And Validation, Control Systems, Linear Algebra, Differential Equations, Applied Mathematics
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Financial Data, Financial Analysis, Data-Driven Decision-Making, Financial Statements, Market Intelligence, Trend Analysis, Unstructured Data, Investment Management, Financial Market, Artificial Intelligence, Analysis, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Customer Success Management, Crisis Management, Customer Relationship Building, Customer Retention, Customer Relationship Management (CRM) Software, Customer Engagement, Customer Relationship Management, Customer Data Management, Employee Onboarding, Customer experience improvement, Company, Product, and Service Knowledge, Performance Metric, Business Metrics, Key Performance Indicators (KPIs), Account Management, Stakeholder Engagement, Operational Excellence, Product Knowledge, Customer Insights, Smart Goals
Beginner · Course · 1 - 3 Months

Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Preprocessing, Workflow Management, Data Literacy, Project Schedules, Data Visualization, Scheduling, Data Analysis Expressions (DAX), Automation, Exploratory Data Analysis
Intermediate · Guided Project · Less Than 2 Hours
University of Alberta
Skills you'll gain: Agile Software Development, Requirements Management, Software Development, Product Management, Process Development, Application Lifecycle Management, Software Engineering, Project Planning, Project Management, Customer Engagement
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Architectural Drawing, AutoCAD, Technical Drawing, Computer-Aided Design, Drafting and Engineering Design, Architectural Design, Building Design
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Customer Relationship Management, Customer experience strategy (CX), Customer Success Management, Customer Acquisition Management, Customer Analysis, Customer Data Management, Customer Retention, Marketing Automation, Value Propositions, Portfolio Management, Performance Measurement, Automation, Key Performance Indicators (KPIs)
Mixed · Course · 1 - 4 Weeks