Izzy Weber
데이터 과학 적용
Data Science & AI Code-Alongs
From data visualization to AI, code-along with experts as they solve real-world problems.
Work your way through an entire project with the help of a screencast, so you never get stuck.
카테고리 탐색
추천
AI 개발자 되기
다음 기관의 강사진이 진행:
OpenAI와 LangChain으로 AI 시스템 구축하기
OpenAI API와 LangChain 패키지를 마스터하고 AI 개념 증명을 구축해보세요.
GPT와 Pinecone으로 AI 애플리케이션 개발하기
Pinecone 벡터 데이터베이스와 OpenAI API의 힘을 결합하여 장기 기억을 가진 챗봇을 구축하세요.
Hugging Face로 AI 시스템 구축하기
Hugging Face로 오픈 소스 AI 생태계의 힘을 발견하세요.
2명 이상을 교육하시나요?DataCamp for Business 사용해 보기
모든 코딩 실습
Data Analysis
Exploring Air Force Personnel Data with Python
Learn how to answer questions about data using pandas and plotly packages.
Richie Cotton
Data Science
How to Explain Black-Box Machine Learning Models
Learn about the importance of model interpretation.
Serg Masis
Data Science
Sentiment Analysis and Prediction in Python
Learn how to build a machine learning model predicting sentiment.
Justin Saddlemyer
Data Analysis
Analyzing Carbon Footprints in SQL
In this code-along, we’ll use SQL to explore data of product carbon footprints.
Izzy Weber
Data Analysis
Analyzing Students’ Mental Health in SQL
Perform SQL querying and visualize results using Python Plotly.
Jasmin Ludolf
Data Visualization
Data Visualization in Python for Absolute Beginners
Learn the basics of how to create an interactive plot using Plotly.
Justin Saddlemyer
Data Science
Analyzing a Time Series of the Thames River in Python
Analyze in Python a time series that tracks the tide levels of the Thames River
Maham Khan
Data Analysis
Analyzing NASA Planetary Exploration Budgets in SQL
We're using SQL and DataCamp Workspace to explore a dataset on NASA's budget
Richie Cotton
Data Analysis
Analyzing Streaming Service Content in SQL
Learn to join data from multiple sources, and create no-code visualizations.
Justin Saddlemyer
Data Analysis
Exploring Astronaut Activities in SQL
In this live training, we use string cleaning to process and analyze a database
Justin Saddlemyer
Data Analysis
Exploring World Cup Data in Python
Learn to use a combination of SQL & Python to import, process, and analyze data
Filip Schouwenaars