[Udemy] Data Processing with Python FREE COURSE
[Udemy] Data Processing with Python FREE COURSE...
What you'll learn
Build 10 advanced Python scripts which together make up a data *censored*ysis and visualization program.
Solve six exercises related to processing, *censored*yzing and visualizing US income data with Python.
Learn the fundamental blocks of the Python programming language such as variables, data types, loops, conditionals, functions and more.
Use Python to batch download files from FTP sites, extract, rename and store remote files locally.
Import data into Python for *censored*ysis and visualization from various sources such as CSV and delimited TXT files.
Keep the data organized inside Python in easily manageable pandas data frames.
Merge large datasets taken from various data file formats.
Requirements
A working computer (Windows, Mac, or Linux)
No prior knowledge of Python is required
Description
Data scientists spend only 20 percent of their time on building machine learning algorithms and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data. That mostly happens because many use graphical tools such as Excel to process their data. However, if you use a programming language such as Python you can drastically reduce the time it takes for processing your data and make them ready for use in your project. This course will show how Python can be used to manage, clean, and organize huge amounts of data.
This course assumes you have basic knowledge of variables, functions, for loops, and conditionals. In the course, you will be given access to a million records of raw historical weather data and you will use Python in every single step to deal with that dataset. That includes learning how to use Python to batch download
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What you'll learn
Build 10 advanced Python scripts which together make up a data *censored*ysis and visualization program.
Solve six exercises related to processing, *censored*yzing and visualizing US income data with Python.
Learn the fundamental blocks of the Python programming language such as variables, data types, loops, conditionals, functions and more.
Use Python to batch download files from FTP sites, extract, rename and store remote files locally.
Import data into Python for *censored*ysis and visualization from various sources such as CSV and delimited TXT files.
Keep the data organized inside Python in easily manageable pandas data frames.
Merge large datasets taken from various data file formats.
Requirements
A working computer (Windows, Mac, or Linux)
No prior knowledge of Python is required
Description
Data scientists spend only 20 percent of their time on building machine learning algorithms and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data. That mostly happens because many use graphical tools such as Excel to process their data. However, if you use a programming language such as Python you can drastically reduce the time it takes for processing your data and make them ready for use in your project. This course will show how Python can be used to manage, clean, and organize huge amounts of data.
This course assumes you have basic knowledge of variables, functions, for loops, and conditionals. In the course, you will be given access to a million records of raw historical weather data and you will use Python in every single step to deal with that dataset. That includes learning how to use Python to batch download
Download
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