Course Content
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.
Task
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.
Task
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
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.
Task
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.
Task
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
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.
Task
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.
Task
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
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.
Task
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowSwitch to desktop for real-world practiceContinue from where you are using one of the options below