Udemy - The 44 most used Python Pandas, Numpy and Matplotlib codes!

[ DevCourseWeb.com ] The 44 most used Python Pandas, Numpy and Matplotlib codes!



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com







Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz

Language: English | Size: 228 MB | Duration: 42m



Learn Python and become an intermediate professional



What you'll learn

You will learn about Python itself the basics of Data Science

You will get to learn Pandas, a software library written, for the Python programming language for data manipulation and analysis

And you will learn Numpy, which is the fundamental package for scientific computing with Python

Finally you will learn Matplotlib, a data visualization and graphical plotting library for Python and numpy



Requirements

There is no required skill needed, just some basic knowledge about statistics could help

Description

To introduce myself, I am mr D. Jeffrey and after getting my Bachelors of Economics I started to work out many Key Performance Indicators for SME's and the government. I have worked with Excel, Tableau, Power BI, SQL and found out that Python takes data to a higher level. In three steps I will take you through the 44 most used Python codes of Pandas, Numpy and Matplotlib. With real examples per code and very clear to understand. Since Python is the number one programming language, this is an added value to your curriculum. Numpy is known for it's strong posibilities in Data Science, while Numpy covers the mathematical part. Matplotlib is used to ploth beautifull graphs. With Python, the average salary of $100.000 is worth it. And many areas like physics, economics, etc are using data. After a short introduction, I will take you through the most common codes.



If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com



Get More Tutorials and Support Us -->> https://FreeCourseWeb.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...