Plotting with Seaborn for Beginners in Data Science
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Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 968 MB | Duration: 3h 39m
What you’ll learn
Get up and going with plots and graphs in Seaborn. Learn how to create stunning visualizations in Seaborn (No, can’t do these in Matplotlib). Leverage your Matplotlib skills to upgrade to the shiniest tool in Python’s most sophisticated plotting toolkit. Learn all about all the latest and greatest plots available in Seaborn. Master the Seaborn API. Create publication quality plots and graphs using Seaborn.
Just a good PC or Mac with decent internet connection. Of course a will to learn. Basic knowledge of the Matplotlib library.
What is Seaborn ?
Seaborn is a statistics library used to create stunning visualizations for statistical data. It is built on top of Matplotlib and very closely integrates with pandas Dataframes. If you want great publication quality graphs on statistical data with minimum coding, this is the library for you.
I already know Matplotlib. Do I need Seaborn ?
While Matplotlib is the beginner’s toolkit to create plots & Visualizations in Data science for Python, it has its limitations. This is where Seaborn shines, with its publication quality graphics and advanced visualization aspects that will enable you to create stunning quality graphics with very minimal code. All of this with much smaller syntax compared to Matplotlib.
How different is Seaborn from Matplotlib ?
Matplotlib is limited to basic plotting and its visualization consists of just the core elements of plotting like barcharts, scatter plots and so on. Seaborn on the other hand can do a great deal of visualization and has in-built tools for most of the advanced Data Scientist requirements.
While Matplotlib is closely modelled from MATLAB (another great but proprietary tool), Seaborn is built from the ground up to be an easy to use tool, leaving behind the legacy inadequacies of Matplotlib.
While Matplotlib can work easily with both Pandas Data frames and Numpy Arrays, Seaborn is specifically built to handle Data Frames easily. Seaborn has a much more intuitive API to handle Dataframes.
While Matplotlib provides the most flexibility, Seaborn lets you up and running fast with the mostly used default options.
Who this course is for:
Students who already have a basic understanding of the Matplotlib library and are looking to upgrade their skills then this is the right course for you.
Students who are looking to learn data visualization using Python can check out my course on udemy: Matplotlib Tutorial.
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