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

It is the Perfect Length: The course is just 6.5 hours long, so you will 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 will not get left behind, and would not waste time on irrelevant filler.

It is Practical: You actually use Pandas to manipulate data. It is not just dry theory. You can see you have understood by solving Quizes at the end of each section. 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 us 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 Eduonix approved Zero Risk, 30 Day 100% Money Back Guarantee! You have absolutely nothing to lose and everything to gain!

Enroll in the Python for Data Analysis course Now! You will be glad that you did!