Contenido del Curso
Dealing with Dates and Times in Python
Dealing with Dates and Times in Python
Challenge: What Will We Work With?
Welcome to the last section of this course! Now it's time for you to try to implement the acquired knowledge to work with some real-life data. As the first, we will work with taxi rides data in Mexico City.
By this time you should be familiar with the main pandas principles. Let's begin with the exploration of the dataset.
Tarea
The dataset is loaded in df variable. You need to get the dimensionality (number of rows and columns) and information about columns and their types.
Tarea
The dataset is loaded in df variable. You need to get the dimensionality (number of rows and columns) and information about columns and their types.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¿Todo estuvo claro?
Challenge: What Will We Work With?
Welcome to the last section of this course! Now it's time for you to try to implement the acquired knowledge to work with some real-life data. As the first, we will work with taxi rides data in Mexico City.
By this time you should be familiar with the main pandas principles. Let's begin with the exploration of the dataset.
Tarea
The dataset is loaded in df variable. You need to get the dimensionality (number of rows and columns) and information about columns and their types.
Tarea
The dataset is loaded in df variable. You need to get the dimensionality (number of rows and columns) and information about columns and their types.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¿Todo estuvo claro?
Challenge: What Will We Work With?
Welcome to the last section of this course! Now it's time for you to try to implement the acquired knowledge to work with some real-life data. As the first, we will work with taxi rides data in Mexico City.
By this time you should be familiar with the main pandas principles. Let's begin with the exploration of the dataset.
Tarea
The dataset is loaded in df variable. You need to get the dimensionality (number of rows and columns) and information about columns and their types.
Tarea
The dataset is loaded in df variable. You need to get the dimensionality (number of rows and columns) and information about columns and their types.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¿Todo estuvo claro?
Welcome to the last section of this course! Now it's time for you to try to implement the acquired knowledge to work with some real-life data. As the first, we will work with taxi rides data in Mexico City.
By this time you should be familiar with the main pandas principles. Let's begin with the exploration of the dataset.
Tarea
The dataset is loaded in df variable. You need to get the dimensionality (number of rows and columns) and information about columns and their types.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opcionesCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones