Complete Seaborn Tutorial on Python – Notebook / Code Provided!

Line Plots, Bar plots, Box Plots, Scatter Plots, Histograms, Distributions plots and many more examples! Start practising on how to create plots using Python! Download and Install Python, learn Numpy, Pandas, Joins, Unions, MatPlotLib, Seaborn and Machine Learning. Step by step Python tutorial for beginners in data science and data analytics. Learn how to code in python with real life, practical examples. We provide the raw data and code. Hope you enjoy this video!

Data Analytics Course Link:

Raw Data and Code:

Video 1 – Down and Install Python – Numpy Tutorial:
Video 2 – Pandas Tutorial:
Video 3 – JOINs and UNIONs Tutorial:
Video 4 – Data Visualizations with MatPlotLib:

Table of content:
- Seaborn Tutorial in Python
- How to create plots using Python
- How to create line plots in Python
- How to create box plots n python
- How to create scatter plots in Python
- How to create distribution plots in python
- How to create histograms in python
- How to create combo plots in python
- MatPlotLib tutorial in Python
- Python Visuals Tutorial
- How to create graphs in python

Yiannis Pitsillides on Social Media:

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[YiannisPi]

This is the last video on learning python for data analytics and data science! Next videos will be ML models! How did you find the series? Please let me know below!

[charlesnwevo]

I cannot begin to tell you just how helpful these videos have been as a data science student. Looking forward to more great content, thanks a lot.

[adilmajeed]

Again, thanks for the nice video. For the bar labels, how do you know that for the index value = 0 needs to be passed in the container object i.e., ax.containers[0]. I have gone through the documentation but there is no elaborated explanation with examples

[dimitrisglumar]

Excellent videos!! very helpful and clear!!I would recommend to make a video trying to predict crypto prices using an ML model (e.g. RNN) in Python.