To introduce myself, I am mr D. Jeffrey and after getting my Bachelors of Economics Istarted to work out many Key Performance Indicators for SME's and the government. Ihave worked with Excel, Tableau, Power BI, SQL and found out that Python takes data to a higher level. In three steps Iwill 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, Iwill take you through the most common codes.

Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

What is NumPy? NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

Give this course a try and have fun learning.