Mastering Numpy, Pandas and MatplotLib-Data Manipulation Tool

If you want to be a Data Scientist, Data Analyst, or Machine Learning Expert with Python, you need to learn Numpy, Pandas, and Matplotlib. In today’s world, these libraries are very important. In this course, you will learn about topics and functions that are important to the Numpy, pandas, and matplotlib library. If you finish this course, you will be able to manipulate and show off data, as well as other things. People who work with data can say that these tools are the steps on their way up the ladder.

This is a very important thing about this class:

1. Every subject is covered in depth.
2. Simple words were used to explain what was going on.
3. Non-programming people can also learn quickly.
4. Do this in a simple way so that you can do the same thing by watching videos.

In terms of Data Science, this is the best course. There are a lot of good ways to make decisions in businesses today, and one of them is Data Visualization. Here, you can use the matplotlib library to quickly show the data in a variety of ways, such as a histogram, bar chart, pie chart, scatter diagram, and many more.

In Numpy, these are the topics:

1. Array of Numpy
2. In Numpy, you can index things and slice things, too.
3. Copy vs. View
4. Shape and reshape Numpy arrays with these tools
5. Repeating a Numpy Array
6. Numpy Arrays can be joined and merged.
7. splitting, looking for and sorting
8. Filtering