Pandas Crash Course for begineers : Numpy + Pandas + Matplotlib

Hello and welcome to the course !

I hope you are exited to start this journey of learning python for data analysis.

By the end of this course you be able to comfortably manipulate and visualize your data.

I just want a commitment from you that you will attempt all the 13 quizzes that are distributed across each of the modules and also solve the Final assignment honestly. Why ? Because the more you practice the better you code.

Why you should take this course :

It’s Memorable: You’ll learn the “why” behind everything you do, so you remember the concepts and can use them on your own later.

It’s the Perfect Length: The course is just 6.5 hours long, so you’ll actually be able to finish it and get your certificate.

It Goes at the Perfect Pace: You will learn the Python fundamentals at a pace tailored to beginners. This means you won’t get left behind, and won’t waste time on irrelevant filler.

It’s Practical: You actually use Pandas to manipulate data. It’s not just dry theory. There is a mega coding assignment to give you a hands on flavour and make you more confident in this skill. Over time i will keep on adding more coding assignmet for your practice.

Now, let's have a look at the course outline.

We will start by laying some foundation with the below lectures :

• Basic Introduction to Python.

• Numpy Package, which forms the foundation of Pandas Package.

Then, we will learn about :

• Data Types in Python to store collections of data. 

Then we will start with the following : 

• Create Dataframe in Pandas from different file formats.

• Data Selection and Filtering.

• Merging and aggregations which forms the back bone of the dataframe analysis.

• Working with Datetime using pandas.

• Advance Data Manipulation.

• Loops and Functions.

• Data Visualization.

• Assignment - Work Fitbit User Activity data.

Try out the course for a full 30 days, with a Zero Risk, 30 Day 100% Money Back Guarantee! You have absolutely nothing to lose and everything to gain!

Enroll in the Python crash course course Now! -- You'll be glad that you did!