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[ DevCourseWeb.com ] Python Pandas Data Crash Course

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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.81 GB | Duration: 4h 25m
Speed up Data Analysis & Visualization with Python Pandas library in easy & simple way also Master using it with SQL.
What you'll learn
What is Python Pandas library or module & how to use its methods.
How to use pandas in Data Analysis And data Science.
Use Python BS4 & Pandas to Scrape a web-page, Analyze and visualize The Scraped Data.
Use Python to load Postgres Data Output file.
Use Python Pandas to Analyze and visualize Postgres Data Output.
Use Python to visualize Postgres Data Output and get your Conclusion about Data.

Description
The most important part of data science is understanding the data that is available to data scientists. You will only be able to achieve the best outcomes if you have the correct knowledge of data and the appropriate data for the task at hand. The analysis, Visualization, and manipulation of data are all very important in Data Science.

Everything about machine learning and data science is made exceedingly simple with Python. We may easily achieve any desired action by utilizing some of the top libraries available in Python. Pandas is one such package that allows us to examine and manipulate data in order to reduce the complexity and speed up the problem-solving process.

One of the best features available in Python for data analysis operations is the Pandas library. You are capable of doing a wide range of jobs with ease. In this post, we'll look at the various sorts of operations that every data scientist must employ in order to complete a project with the least amount of resources while reaching the maximum level of efficiency.

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