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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Git Push and Pull Tutorial
Learn how to perform Git PUSH and PULL requests through GitHub Desktop and the Command-Line.
Olivia Smith
27 Şubat 2026
SQL Interface within JupyterLab
Learn how to use and modify SQL tables within JupyterLabs.
Parul Pandey
23 Temmuz 2019
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
19 Temmuz 2019
Linear Programming with Spreadsheets
Learn how to use spreadsheets to solve linear programming problems graphically.
Avinash Navlani
15 Temmuz 2019
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
15 Temmuz 2019
Conditional Functions in Spreadsheets
Learn when and how to use conditional functions in spreadsheets.
Francisco Javier Carrera Arias
8 Temmuz 2019
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
1 Temmuz 2019
Cluster Analysis in Tableau
Learn how to easily cluster your data in Tableau with its built-in clustering tool.
Parul Pandey
28 Haziran 2019
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
24 Haziran 2019
Quadrant Analysis in Tableau
Learn how to analyze data in the form of a dynamic quadrant chart in Tableau.
Parul Pandey
24 Haziran 2019
Implementing Neural Style Transfer Using TensorFlow 2.0
In this tutorial, you'll learn how to implement power applications like Prisma using TensorFlow 2.0.
Sayak Paul
21 Haziran 2019
Demystifying Mathematical Concepts for Deep Learning
Explore basic math concepts for data science and deep learning such as scalar and vector, determinant, singular value decomposition, and more.
Avinash Navlani
17 Haziran 2019