Datenwissenschaft-Kurse können Ihnen helfen zu lernen, wie Daten analysiert, Modelle entwickelt und Ergebnisse bewertet werden. Sie können Fähigkeiten in Statistik, maschinellem Lernen, Datenaufbereitung und Visualisierung aufbauen. Viele Kurse stellen Python-Bibliotheken, Tools und projektbasierte Anwendungen vor.

Minnesota State University, Mankato
Kompetenzen, die Sie erwerben: Strategic Decision-Making, Leadership, Strategic Leadership, Decision Making, Strategic Thinking, Leadership Development, Business Leadership, Problem Solving, Dealing With Ambiguity, Systems Thinking, Influencing, Solution Design, Critical Thinking, Problem Management, Business Priorities, Prioritization, Risk Management, Risk Analysis, Root Cause Analysis, Communication
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Python Programming, Program Development, Game Design, Code Reusability, Computer Programming, Programming Principles, Functional Design, Development Environment, Computational Logic, Building Codes
Anfänger · Kurs · 1–4 Wochen

Fractal Analytics
Kompetenzen, die Sie erwerben: Menschenzentriertes Design, Kritisches Denken, Datenanalyse, Datenwissenschaft, Analytische Fähigkeiten, Problemlösung, Kritisches Denken und Problemlösung, Entscheidungsfindung, Benutzerzentriertes Design
★ 4.6 (160) · Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Go (Programming Language), Debugging, Memory Management, Application Development, Program Development, Build Tools, Data Structures, Development Environment, Programming Principles, Microsoft Visual Studio, Integrated Development Environments, Software Development Tools, Software Installation, Code Reusability, Object Oriented Programming (OOP), Command-Line Interface, System Programming, Package and Software Management, Other Programming Languages
Anfänger · Spezialisierung · 3–6 Monate

Board Infinity
Kompetenzen, die Sie erwerben: Brand Strategy, Data Storytelling, Data Presentation, Branding, Brand Marketing, Dashboard, Interactive Data Visualization, Dashboard Creation, Storytelling, Target Audience, Brand Management, Experience Design, Data-Driven Marketing, Digital Brand Strategy, Journey Mapping, Marketing Psychology, Design Strategies, Digital Advertising, Digital Media Strategy, Data Visualization
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Storytelling, Financial Auditing, Financial Modeling, Data Presentation, Auditing, Case Studies, Financial Analysis, Financial Data, Quality Assurance, Risk Analysis, Analysis, Model Evaluation, Storytelling, Quality Assessment, Critical Thinking, Verification And Validation, Financial Reporting, Investigation, Due Diligence, Business Valuation
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Prompt Engineering, AI Personalization, Generative AI, Prompt Engineering Tools, Responsible AI, Data Ethics, Large Language Modeling, Business Process Automation, AI Security, Business Workflow Analysis, Personalized Service, Business Process, Personalized Campaigns, Automation, Customer experience improvement, Unstructured Data, Business Intelligence, Data Analysis, Digital Transformation, Content Strategy
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Financial Statements, Financial Statement Analysis, Financial Modeling, Excel Macros, Financial Analysis, Pivot Tables And Charts, Data Integrity, Bookkeeping, Excel Formulas, Trend Analysis, Balance Sheet, Reconciliation, Financial Data, Data Validation, Ledgers (Accounting), Data Quality, Spreadsheet Software, Microsoft Excel, Data Cleansing, Automation
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Operational Databases, Database Architecture and Administration, Relational Databases, Database Design, Database Management, Data Migration, Google Cloud Platform, Distributed Computing, Disaster Recovery, Performance Tuning, Scalability, Cloud Computing Architecture, Data Integrity, Capacity Management, Transaction Processing, IT Automation, System Monitoring, Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: Agiles Projektmanagement, Agile Software-Entwicklung, GitHub, Cloud-Entwicklung, Cloud Computing, Cloud-Technologien, Cloud-Hosting, DevOps, Technische Kommunikation, Infrastruktur als Dienstleistung (IaaS), Serverloses Rechnen, Technische Dokumentation, Kontinuierliche Lieferung, Cloud-Infrastruktur, Kontinuierliche Integration, Cloud-Plattformen, Cloud-Dienste, CI/CD, Infrastruktur als Code (IaC), Agile Entwicklung von Software, Azure DevOps-Pipelines
★ 4.5 (295) · Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Capital Budgeting, Cash Flows, Financial Modeling, Excel Formulas, Financial Analysis, Data-Driven Decision-Making, Project Finance, Microsoft Excel
Mittel · Kurs · 1–4 Wochen