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.

Northeastern University
Kompetenzen, die Sie erwerben: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision
Gemischt · Kurs · 1–3 Monate

University of Washington
Kompetenzen, die Sie erwerben: Regression Analysis, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Feature Engineering, Python Programming, Linear Algebra, NumPy, Algorithms
Gemischt · Kurs · 1–3 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Seaborn, Data-Driven Decision-Making, Data Mining, Scatter Plots, R Programming, Graph Theory, Data Science, Time Series Analysis and Forecasting
Auf einen Abschluss hinarbeiten
Gemischt · Kurs · 1–3 Monate
Kompetenzen, die Sie erwerben: Amazon Bedrock, Cloud Computing Architecture, Generative AI, Amazon Web Services, Cloud Computing, Amazon Elastic Compute Cloud, Cloud Security, Amazon CloudWatch, Artificial Intelligence, AWS Identity and Access Management (IAM), Continuous Monitoring, Data Security, Performance Tuning, Scalability
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Keras (Neural Network Library), Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Network Architecture, Data Processing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Deep Learning, Data Processing, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Data Visualization Software, Pandas (Python Package), System Design and Implementation
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Data Storytelling, Data Visualization, Storytelling, Financial Data, Data Visualization Software, Financial Acumen, Finance, Process Flow Diagrams, Verbal Communication Skills, Presentations, Communication, Plotly, Matplotlib, Analysis, Customer Engagement, Target Audience
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Docker (Software), CI/CD, Cloud Computing Architecture, Application Performance Management, Apache Spark, Google App Engine
Mittel · Kurs · 1–3 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Data Manipulation, Descriptive Statistics, Data Processing, Data Cleansing, Programming Principles, Data Visualization, Python Programming, Algorithms
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation
Mittel · Kurs · 3–6 Monate

Clemson University
Kompetenzen, die Sie erwerben: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Descriptive Statistics, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Predictive Modeling, Machine Learning, Supervised Learning
Auf einen Abschluss hinarbeiten
Mittel · Kurs · 1–3 Monate