Im Rampenlicht
Die besten LLM-Kurse 2026
DataCamps Kurs Introduction to LLMs in Python belegt den Spitzenplatz — hier ist das vollständige Ranking von 8 Large-Language-Model-Kursen, mit denen du dieses Jahr starten kannst.
Josef Waples
24. Juli 2026
Neueste
Die besten LLM-Kurse 2026
24. Juli 2026
Training für 2 oder mehr Personen?Probiere es mit DataCamp for Business
Im Trend
12 GPT-4 Open-Source-Alternativen
GPT-4 Open-Source-Alternativen, die eine ähnliche Leistung bieten können und weniger Rechenressourcen für die Ausführung benötigen. Diese Projekte werden mit Anleitungen, Codequellen, Modellgewichten, Datensätzen und Chatbot-UI geliefert.
Abid Ali Awan
10. September 2024
12 GPT-4 Open-Source-Alternativen
GPT-4 Open-Source-Alternativen, die eine ähnliche Leistung bieten können und weniger Rechenressourcen für die Ausführung benötigen. Diese Projekte werden mit Anleitungen, Codequellen, Modellgewichten, Datensätzen und Chatbot-UI geliefert.
Abid Ali Awan
10. September 2024
Alle Beiträge
DataCamp Donates fights climate change: CDP's journey from R to Python
The CDP team provided market-leading environmental data products and services to organizations reporting data on climate change, water security and deforestation.
Judy Howarth
15. September 2022
A Beginner's Guide to The Machine Learning Workflow
In this infographic, get a download of what the machine learning workflow looks like.
DataCamp Team
9. September 2022
Top 35 Machine Learning Interview Questions For 2026
Prepare for your interview with this comprehensive guide to machine learning questions, covering everything from basic concepts and algorithms to advanced and role-specific topics.
Abid Ali Awan
28. Januar 2026
DataCampers Volunteer Summer 2022
Many nonprofits need volunteers to participate in their workshops and training. Therefore, all year long we try to find volunteering opportunities.
Rayan Elatmani
8. September 2022
The Top 15 Data Scientist Skills For 2026
A list of the must-have skills every data scientist should have in their toolbox, including resources to develop your skills.
Javier Canales Luna
30. November 2023
Data Demystified: Data Visualizations that Capture Distributions
In part 10 of data demystified, we’ll dive deep into the world of data visualization, continuing with visualizations that capture distributions.
Richie Cotton
2. September 2022
Data Demystified: Data Visualizations that Capture Trends
In part eight of data demystified, we’ll dive deep into the world of data visualization, starting off with visualizations that capture trends.
Richie Cotton
1. September 2022
Data Demystified: Quantitative vs. Qualitative Data
In the second entry of data demystified, we’ll take a look at the two most common data types: Quantitative vs Qualitative Data. For more data demystified blogs, check out the first entry in the series.
Richie Cotton
1. September 2022
Data Demystified: The Four Types of Analytics
In the fourth entry of data demystified, we’ll break down the four types of analytics. From a descriptive to prescriptive, we’ll look at how analytics can answer the most pressing questions.
Richie Cotton
1. September 2022
Data Demystified: Data Visualizations that Capture Relationships
In part nine of data demystified, we’ll dive deep into the world of data visualization, continuing with visualizations that capture relationships.
Richie Cotton
1. September 2022
Data Demystified: The Different Types of AI Bias
In the final part of data demystified, we outline the most common types of AI bias, and why data literacy helps avoid harmful impacts from AI.
Richie Cotton
1. September 2022
Data Demystified: What is A/B Testing?
In part seven of data demystified, we’ll break down one of the most common use cases of statistical analysis in data science: A/B testing.
Richie Cotton
1. September 2022