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.

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Generative AI, LangChain, Software Design Patterns, Vector Databases, LLM Application, Embeddings, Prompt Engineering, Large Language Modeling, Model Evaluation, Text Mining, Scalability, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: SQL, Data Transformation, Data Wrangling, Data Manipulation, Pandas (Python Package), Query Languages, Consolidation, Time Series Analysis and Forecasting, Analytics, Pivot Tables And Charts, Apache Spark
Mittel · Kurs · 1–4 Wochen

Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, ChatGPT, Incident Response, Responsible AI, Cyber Threat Intelligence, Vulnerability Management, Data Ethics, Vulnerability Assessments, Security Awareness, Cybersecurity, Threat Modeling, Cyber Security Strategy, Threat Detection, Scripting, Automation, Artificial Intelligence, Information Privacy, Technical Communication
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Storytelling, Data Visualization, Statistical Hypothesis Testing, Data Visualization Software, Interactive Data Visualization, Data Presentation, Health Informatics, Data Analysis, Healthcare Ethics, Technical Communication, Supervised Learning, Looker (Software), Statistical Analysis, Statistics, Predictive Analytics, Health Care, Healthcare Industry Knowledge, Data Literacy, Health Technology, Regression Analysis
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Statistical Hypothesis Testing, Clinical Data Management, Clinical Assessment, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Health Informatics, Regression Analysis, Predictive Analytics, Supervised Learning, Statistical Analysis, Statistics, Probability & Statistics, Decision Tree Learning, Random Forest Algorithm
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Generative AI, Model Evaluation, Dashboard, Image Quality, Test Script Development, Image Analysis, Test Case, Verification And Validation, Large Language Modeling, Data Visualization, Continuous Monitoring, Plotly, Text Mining, Natural Language Processing, Matplotlib, Statistical Hypothesis Testing
Mittel · Kurs · 1–4 Wochen

Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Model Evaluation, Business Analytics, Data-Driven Decision-Making, Data Presentation, Business Metrics, Performance Analysis, Regression Analysis, Feature Engineering, Data Science, Stakeholder Communications, Exploratory Data Analysis
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Verification And Validation, Data Pipelines
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Data Transformation, Real Time Data, Data Pipelines, Power BI, Data Quality, Dashboard, PySpark, Business Intelligence, Data Integrity, Data Governance, CI/CD, Data Validation, Data Visualization, Performance Tuning
Mittel · Kurs · 1–4 Wochen