Courses in Probability Theory can help you learn statistical reasoning, random variables, and probability distributions. You can build skills in hypothesis testing, regression analysis, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Excel, that support analyzing data and modeling real-world phenomena. You'll explore key topics such as Bayes' theorem, expected value, and the law of large numbers, all of which are crucial for applications in fields like finance, engineering, and artificial intelligence.

Skills you'll gain: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection
Advanced · Course · 1 - 3 Months

Banco Interamericano de Desarrollo
Skills you'll gain: Communication, Emotional Intelligence, Presentations, Empowerment, Professional Networking, Resilience, Mentorship, Self-Awareness, Branding, Professional Development, Assertiveness, Leadership, Leadership and Management, Social Media, Governance
Beginner · Course · 1 - 4 Weeks

EDUCBA
Skills you'll gain: Color Theory, Cascading Style Sheets (CSS), Typography, HTML and CSS, Web Design, Web Content Accessibility Guidelines, Semantic Web
Mixed · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Adobe InDesign, Layout Design, Graphic Design, Graphic and Visual Design, Adobe Creative Cloud, Document Management, Graphic and Visual Design Software, Typography, Style Guides, Design Elements And Principles, Productivity Software, User Interface (UI), Color Theory
Mixed · Course · 1 - 3 Months

Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: 3D Modeling, Animation and Game Design, 3D Assets, Animations, Visualization (Computer Graphics), Computer Graphics, Graphics Software, Design and Product
Beginner · Course · 1 - 3 Months

Skills you'll gain: Descriptive Statistics, Data Analysis, Data Visualization, Descriptive Analytics, Exploratory Data Analysis, Data Presentation, Data Transformation, Statistics, Data Visualization Software, Data Storytelling, Statistical Methods, Technical Communication, Statistical Analysis, Microsoft Excel
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Technical Documentation, Technical Writing, Software Documentation, Technical Communication, Software Design Documents, Information Architecture, Writing, User Requirements Documents, Software Development Tools, Automation, Style Guides, Software Development, Agile Software Development, Interactive Design, Project Management Software, Diagram Design, Generative AI
Beginner · Course · 1 - 3 Months

Skills you'll gain: Team Leadership, Virtual Teams, Delegation Skills, Leadership and Management, Employee Training, Training Programs, Professional Development, Leadership, Project Management, Key Performance Indicators (KPIs), Business Metrics
Intermediate · Course · 1 - 4 Weeks

LearnKartS
Skills you'll gain: Application Deployment, Cloud Deployment, Salesforce Development, Salesforce, Change Control, Continuous Deployment, Configuration Management, Version Control, Release Management, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unity Engine, User Interface (UI), Visualization (Computer Graphics), User Interface and User Experience (UI/UX) Design, Computer Graphics, Color Theory, Computer Graphic Techniques, Virtual Environment, Geospatial Mapping, C# (Programming Language), Data Structures, Computational Logic
Mixed · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
Mixed · Course · 1 - 4 Weeks