Dates and Times in Python

Providing you with the skillset required for manipulating date and time values in Python. Includes a practical example where you will work with a sales company’s dataset to put your theoretical knowledge into action.

with Ivan Manov and Martin Ganchev

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Course Overview

Dates and Times in Python is the course that will take your data analyst skillset to the next level! The ability to adjust dates and time according to a specific territory is crucial across numerous businesses and industries. In this course, you will master handling both date values that depend on the structure of the different calendars used across the globe, and time values that reflect time-saving regulations, clock changes, and time conversions. You will also discover how to keep track of historical data, use specific date- and time-related libraries, classes, methods, and conversion techniques in Python.

23 High Quality Lessons
5 Practical Tasks
2 Hours of Video
Certificate of Achievement

Skills you will gain

data visualizationprogrammingpython

What You'll Learn

This course will take your skillset to the next level by teaching you how to manipulate date and time values in Python. Anyone who works in a data science-related field should know how to handle such operations. 

Understand time standards, time zones, and time regulations 
Work with time measurement systems 
Apply programming techniques in Python 
Use pandas for date- and time-related operations 
Make practical applications on an actual dataset 
Visualize date- and time-related data in the form of different graphs 

“Anyone who works in a data science related field must know how to handle date- and time-related information. Working properly and efficiently with timestamps is a highly valued skill virtually across all industries and this is the course that will take you to the next level.”

Ivan Manov
Content Creator at 365 Data Science
Dates and Times in Python

with Ivan Manov and Martin Ganchev

Start Course