I've never seen a course as detailed as this as regard Date nd Time in Python. This is solid and I'm grateful for the tutor. I also want to use this medium to say a big thank to the #Free21days to learn with 365 Data Science. Thank you
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.
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.
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.
Here, we’ll cover the concepts of time standards, time zones, and time regulations. We will discuss the main principles of working with dates, times, and time zones in computing and will learn how to apply these principles in Python.
This section consists of a practical example covering all the basic, as well as the advanced techniques you’ll need to become a data analyst who can handle dates and times with ease. We will work on an actual data set and will operate on tasks including processes such as data preparation, data manipulation, data analysis, and data visualisation.
“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.”
Content Creator at 365 Data Science
Dates and Times in Python
with Ivan Manov and Martin Ganchev