Data Science Tutorials
Learn data science and AI with step-by-step tutorials on the DataCamp blog. Master Python, SQL, machine learning, and build your own AI agents.
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Beginner’s Guide to Scala
Learn the basics in Scala including syntax, how to set up an environment, and various common data types.
Aditya Sharma
2019年8月6日
Markdown in Jupyter Notebook Tutorial
In this tutorial, you'll learn how to use and write with different markup tags using Jupyter Notebook.
Olivia Smith
2019年8月5日
SQL Interface within JupyterLab
Learn how to use and modify SQL tables within JupyterLabs.
Parul Pandey
2019年7月23日
Git Push and Pull Tutorial
Learn how to perform Git PUSH and PULL requests through GitHub Desktop and the Command-Line.
Olivia Smith
2026年2月27日
For Loops in Python Tutorial
Learn how to implement For Loops in Python for iterating a sequence, or the rows and columns of a pandas dataframe.
Aditya Sharma
2019年7月19日
Linear Programming with Spreadsheets
Learn how to use spreadsheets to solve linear programming problems graphically.
Avinash Navlani
2019年7月15日
User Defined Stored Procedures in SQL
Learn how to use and apply the user-defined stored procedure along with examining different types of stored procedures in SQL.
Olivia Smith
2019年7月15日
Conditional Functions in Spreadsheets
Learn when and how to use conditional functions in spreadsheets.
Francisco Javier Carrera Arias
2019年7月8日
f-string Formatting in Python
Learn about the f-string formatting technique in Python 3.6. In this tutorial, you'll see what advantages it offers and go through some example use cases.
Hafeezul Kareem Shaik
2019年7月1日
Cluster Analysis in Tableau
Learn how to easily cluster your data in Tableau with its built-in clustering tool.
Parul Pandey
2019年6月28日
Quadrant Analysis in Tableau
Learn how to analyze data in the form of a dynamic quadrant chart in Tableau.
Parul Pandey
2019年6月24日
Moving Averages in pandas
Learn how you can capture trends and make sense out of time series data with the help of a moving or rolling average.
Aditya Sharma
2019年6月24日