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.

University of Pittsburgh
Kompetenzen, die Sie erwerben: Cloud Computing, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, Virtualization, Cloud Platforms, Virtual Machines, Data Infrastructure, Scalability, NoSQL, Cloud Storage, Database Design, Database Management, Data Warehousing, MongoDB, MySQL, SQL, Application Programming Interface (API), Python Programming, Git (Version Control System)
Auf einen Abschluss hinarbeiten
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Financial Analysis, Capital Expenditure, Portfolio Risk, Corporate Finance, Business Planning, Data Cleansing, Regression Analysis, Exploratory Data Analysis, Risk Analysis, Data Analysis, Risk Management, Predictive Modeling, R Programming, Statistical Analysis, Machine Learning, Python Programming
Mittel · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Generative AI, Cloud Computing, Cloud API, API Design, Python Programming, Data Persistence
Mittel · Kurs · 1–4 Wochen

Packt
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming
Fortgeschritten · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Time Series Analysis and Forecasting, Financial Forecasting, Forecasting, Trend Analysis, Advanced Analytics, Predictive Modeling, Predictive Analytics, Data-Driven Decision-Making, Business Analytics, Supervised Learning, Business Metrics, Market Data, Generative AI, Financial Management, Strategic Decision-Making, Market Intelligence, Statistical Analysis, Model Evaluation, Data Storytelling, Applied Machine Learning
Mittel · Spezialisierung · 1–3 Monate

SkillUp
Kompetenzen, die Sie erwerben: Forecasting, Classification Algorithms, Dimensionality Reduction
Mittel · Spezialisierung · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Key Performance Indicators (KPIs), Bookkeeping, Financial Forecasting, Budget Management, Financial Statement Analysis, Revenue Forecasting, Market Liquidity, Market Dynamics, Capital Budgeting, Operating Budget, Financial Analysis, Process Improvement, Financial Data, Variance Analysis, Predictive Analytics, Data-Driven Decision-Making, Financial Modeling, Financial Reporting, Process Optimization, Data Visualization
Mittel · Spezialisierung · 3–6 Monate
The Hong Kong University of Science and Technology
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Microsoft SQL Servers, SQL, Relational Databases, Database Management, Database Design, Transact-SQL, Database Systems, Server Administration, Query Languages, Databases, Database Administration, Database Architecture and Administration, Data-Driven Decision-Making, Data Integrity, Database Management Systems, Servers, Data Manipulation, Data Processing, Scripting Languages, System Requirements
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Faltungsneuronale Netzwerke, Algorithmen für maschinelles Lernen, Visualisierung (Computergrafik), Modellevaluation, Klassifizierungsalgorithmen, Transfer Learning, Feature Technik, Netzwerk Architektur, Deep Learning, Methoden des Maschinellen Lernens, Computervision
Mittel · Kurs · 1–3 Monate

Packt
Kompetenzen, die Sie erwerben: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Image Analysis, Computer Vision, Model Evaluation, Analysis, Debugging, Failure Mode And Effects Analysis, Exploratory Data Analysis, Root Cause Analysis, Data Visualization, Quality Assurance, Statistical Reporting
Mittel · Kurs · 1–4 Wochen