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Tutoriales de Ciencia de Datos

Desarrolla tus habilidades en ciencia de datos con tutoriales en nuestro blog. Cubrimos todo, desde visualizaciones de datos complejas en Tableau hasta funciones de control de versiones en Git.
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DataLab

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

5 de agosto de 2019

SQL

SQL Interface within JupyterLab

Learn how to use and modify SQL tables within JupyterLabs.

Parul Pandey

23 de julio de 2019

Python

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's photo

Aditya Sharma

19 de julio de 2019

SQL

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 de julio de 2019

Data Visualization

Linear Programming with Spreadsheets

Learn how to use spreadsheets to solve linear programming problems graphically.
Avinash Navlani's photo

Avinash Navlani

15 de julio de 2019

Spreadsheets

Conditional Functions in Spreadsheets

Learn when and how to use conditional functions in spreadsheets.
Francisco Javier Carrera Arias's photo

Francisco Javier Carrera Arias

8 de julio de 2019

Python

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's photo

Hafeezul Kareem Shaik

1 de julio de 2019

Tableau

Cluster Analysis in Tableau

Learn how to easily cluster your data in Tableau with its built-in clustering tool.
Parul Pandey's photo

Parul Pandey

28 de junio de 2019

Tableau

Quadrant Analysis in Tableau

Learn how to analyze data in the form of a dynamic quadrant chart in Tableau.
Parul Pandey's photo

Parul Pandey

24 de junio de 2019

Python

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's photo

Aditya Sharma

24 de junio de 2019

Python

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's photo

Sayak Paul

21 de junio de 2019