Exploring Astronaut Activities in SQL
In this live training, we use string cleaning to process and analyze a database
เพิ่มความรู้ด้านข้อมูลและ AI ด้วยข้อมูลเชิงลึกจากผู้เชี่ยวชาญสำหรับผู้เรียนและทีมงาน
กำลังพัฒนาทักษะทีมขนาดเล็ก?เริ่มต้นวันนี้
เผยแพร่ล่าสุด
In this live training, we use string cleaning to process and analyze a database
Learn to join data from multiple sources, and create no-code visualizations.
Were using SQL and DataCamp Workspace to explore a dataset on NASAs budget
Analyze in Python a time series that tracks the tide levels of the Thames River
Learn the basics of how to create an interactive plot using Plotly.
Perform SQL querying and visualize results using Python Plotly.
In this code-along, we’ll use SQL to explore data of product carbon footprints.
Learn how to build a machine learning model predicting sentiment.
Learn about the importance of model interpretation.
Learn how to answer questions about data using pandas and plotly packages.
Learn about NumPy arrays and manipulate data stored inside of them.
Learn to do exploratory data analysis and create visualizations with ggplot2.
Learn how to load data from different sources and perform exploratory analyses.
Using AWSs Amazon Redshift, we’ll be analyzing ticket sales data.
Learn how to scale data insights in your organization with business intelligence
Learn how to land a job in data science and how DataCamp can help.
Heres how to advance through the different stages of data maturity.
Learn practical strategies for building a business case for data literacy.