Python-Kurse können Ihnen helfen zu lernen, wie Programme erstellt, Daten verarbeitet und Automatisierungen umgesetzt werden. Sie können Fähigkeiten in Syntax, Funktionen, Datenstrukturen und Bibliotheken aufbauen. Viele Kurse nutzen Beispiele, úbungen und Projekte, um Python anwendbar zu machen.

Board Infinity
Kompetenzen, die Sie erwerben: Financial Statement Analysis, Financial Statements, Financial Modeling, Financial Analysis, Working Capital, Business Valuation, Financial Data, Financial Forecasting, Income Statement, Balance Sheet, Budget Management, Forecasting, Business Metrics, Accounting and Finance Software, Cash Flows, Budgeting, Variance Analysis, Spreadsheet Software, Google Sheets, Microsoft Excel
Anfänger · Kurs · 1–4 Wochen

Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Data Presentation, Generative Model Architectures, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting
Abschluss · 1–4 Jahre

Kompetenzen, die Sie erwerben: Flask (Web Framework), Application Deployment, Application Development, Restful API, Web Applications, Web Development, User Accounts, Authentications, Authorization (Computing), File Management, Email Automation, Real Time Data, Data Validation
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Statistik, A/B-Tests, Deskriptive Statistik, Datenanalyse, Erweiterte Analytik, Python-Programmierung, Wahrscheinlichkeitsverteilung, Statistische Inferenz, Datenwissenschaft, Statistische Methoden, Analytik, Wahrscheinlichkeitsrechnung und Statistik, Stichproben (Statistik), Statistische Programmierung, Statistische Analyse, Statistische Software, Statistische Hypothesenprüfung, Wahrscheinlichkeit
★ 4.8 (890) · Fortgeschritten · Kurs · 1–3 Monate

Board Infinity
Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Patterns, LLM Application, Generative AI Agents, AI Workflows, AI Orchestration, Agentic Workflows, Large Language Modeling, Tool Calling, Agentic systems, Debugging, Quality Assurance, Model Evaluation
Mittel · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Forecasting, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Financial Data, Predictive Modeling, Financial Modeling, Advanced Analytics, Decision Intelligence, Generative AI, Risking, Time Series Analysis and Forecasting, Market Data, Regression Analysis, Data Preprocessing
Anfänger · Kurs · 1–4 Wochen

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Project Schedules, Sampling (Statistics), Proposal Writing, Data Ethics, Sustainability Reporting, Database Design, Agentic systems
Abschluss · 1–4 Jahre
Kompetenzen, die Sie erwerben: Data Lakes, Data Migration, Apache Hive, Data Infrastructure, Data Import/Export, Data Architecture, Apache Spark, Data Maintenance, Data Pipelines, Database Design, Data Store, Database Management, Performance Tuning, Query Languages, Metadata Management, Data Validation, Transaction Processing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Scripting, Data Analysis, Data Processing, Data Manipulation, Data Import/Export, Data Capture, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub
★ 3.4 (16) · Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Selenium (Software), GitHub, Git (Version Control System), Version Control, CI/CD, File I/O, Object Oriented Programming (OOP), Test Automation, Test Data, Unit Testing, Test Case, Software Testing, Test Script Development, Programming Principles, Web Development Tools, Code Reusability, Test Execution Engine, Javascript, Browser Compatibility, Scripting
★ 4.5 (13) · Anfänger · Spezialisierung · 3–6 Monate