Predictive-Analytics-Kurse können Ihnen helfen zu verstehen, wie Daten genutzt werden, um Vorhersagen zu treffen und Muster sichtbar zu machen. Sie können Fähigkeiten in Modellierung, Statistik, Bewertung und Analysewerkzeugen aufbauen. Viele Kurse stellen Beispiele und Workflows aus datengetriebenen Projekten vor.

Kompetenzen, die Sie erwerben: Big Data, Model Training, Applied Machine Learning, Google Cloud Platform, Data Analysis, Machine Learning Methods, Query Languages, Machine Learning Software
Anfänger · Kurs · 1–4 Wochen

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Graph Theory, Machine Learning Algorithms, Supervised Learning, File Systems, SQL, Software Engineering, Data Visualization, Financial Statement Analysis, Statistical Hypothesis Testing, Statistical Methods, Spatial Data Analysis, Cryptography, Object Oriented Programming (OOP), SAS (Software), Text Mining, Artificial Intelligence, Predictive Modeling, Data Science, Natural Language Processing
Abschluss · 1–4 Jahre

Kompetenzen, die Sie erwerben: Apache Hadoop, Apache, Data Infrastructure, NoSQL, Big Data, Database Management Systems, Databases, Unix Shell, Data Storage, Data Storage Technologies, Database Design, Software Installation, Data Access, Data Modeling, Data Persistence, Systems Integration, System Configuration, Command-Line Interface, Enterprise Application Management, Scalability
Anfänger · Kurs · 1–4 Wochen

University of Leeds
Kompetenzen, die Sie erwerben: Data Ethics, Social Network Analysis, Data Presentation, Statistical Machine Learning, Statistical Hypothesis Testing, Classification And Regression Tree (CART), Data Storytelling, R (Software), Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Data Visualization, Statistical Visualization, Supervised Learning, Network Analysis, Dimensionality Reduction, Data Preprocessing, Web Scraping, Statistical Modeling, Python Programming
Abschluss · 1–4 Jahre
Universidad de los Andes
Kompetenzen, die Sie erwerben: Continuous Integration, User Story, Version Control, Unified Modeling Language, Test Driven Development (TDD), Software Testing, Test Automation, Git (Version Control System), Software Architecture, Maintainability, JavaScript Frameworks, Usability, Web Content Accessibility Guidelines, Test Script Development, Application Frameworks, Software Design, Regression Testing, Test Data, Software Design Patterns, Angular
MasterTrack · 6–12 Monate

Universidad de los Andes
Kompetenzen, die Sie erwerben: Design Thinking, Reinforcement Learning, Organizational Strategy, Classification Algorithms, Deep Learning, Engineering Management, Technology Strategies, Systems Thinking, Project Management, Feasibility Studies, Infrastructure Security, Financial Statements, Environmental Social And Corporate Governance (ESG), Agile Software Development, Data Ethics, Environmental Management Systems, Product Development, Asset Management, Project Risk Management, AI Integrations
Abschluss · 1–4 Jahre

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Full-Stack Web Development, Graph Theory, Machine Learning Algorithms, Supervised Learning, File Systems, SQL, Software Engineering, Data Visualization, Statistical Methods, Theoretical Computer Science, Cryptography, Object Oriented Programming (OOP), SAS (Software), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Predictive Modeling, Data Science, Natural Language Processing
Abschluss · 1–4 Jahre

Pontificia Universidad Católica de Chile
Kompetenzen, die Sie erwerben: Epidemiology, Diagnostic Tests, Business Analytics, Social Determinants Of Health, Descriptive Analytics, Health Disparities, Public Health and Disease Prevention, Public Key Infrastructure, Biostatistics, Gerontology, Health Policy, Healthcare Ethics, Digital Transformation, Team Leadership, Occupational Health, Telehealth, Program Evaluation, Object Oriented Programming (OOP), Policy Analysis, Health Systems
MasterTrack · 6–12 Monate

Microsoft
Kompetenzen, die Sie erwerben: Generative AI, Microsoft Copilot, Generative Model Architectures, Generative Adversarial Networks (GANs), Natural Language Processing, Data Quality, Anomaly Detection, AI literacy, Data Storytelling, Responsible AI, Data Visualization, Data Ethics, Data-Driven Decision-Making, Data Presentation, Data Pipelines, Data Cleansing, Data Visualization Software, Data Preprocessing, Data Science, Critical Thinking
★ 4.6 (71) · Anfänger · Spezialisierung · 1–3 Monate