Basics of Seaborn for Data Analysis & Data Science
- Have a Keen Desire to learn !
In this course, you will learn how to create interactive Visuals in python using the seaborn data visualizations library
This course will teach your everything you need to know to use Python to create interactive visuals with seaborn Have you ever wanted to take your Python skills to the next level in data visualization? With this course you will be able to create fully customization plots , interactive visuals with the open source libraries like seaborn
Data visualisation is very critical for generating and communicating easy to understand finding and insights. Either you are a Data Analyst who wants to create a dashboard/present your analysis or you are a Data Scientist who wants to create a UI for your machine learning models, seaborn can be a boon for both.
You will learn in this course many chart types..
Distribution (KDE) Plot
We'll start off by teaching you enough Python and Pandas that you feel comfortable working and generating data Then we'll continue by teaching you about basic data visualization with seaborn, including scatter plots, line charts, bar charts , box plots, histograms, distribution plots and many more ! We'll also give you an intuition of when to use each plot type.
By taking this course you will be learning the bleeding edge of data visualization technology with Python and gain a valuable new skill to show your colleagues or potential employers.
Who this course is for:
- Any Python programmers who want to present their analyses using interactive visualisation
great courses for beginners/working Professionals
If anyone has questions about which course may work best for them, please feel free to contact or message me.
I will teach you the real-world skills necessary to stand out from the crowd. Whether it’s a Data Science , Data Analysis ,Machine Learning , Time Series or Natural Language Processing skills and more here.
Query resolution 24*7
One-on-one support from experts that truly want to help you
Query resolution (QnA) - Within 2-3 hours in day time
Hardly it can be 8-10 hours..
learn by doing
Step-by-step tutorials and project-based learning.
more about Shan
Professionally, I am a Data Scientist having experience of 7 years in finance, E-commerce, retail and transport. From my courses you will straight away notice how I combine my own experience to deliver content in a easiest fashion. To sum up, I am absolutely passionate about Data Analytics and I am looking forward to sharing my own knowledge with you!