Level up your data science, ML, and analytics with powerful visualizations using Matplotlib, Seaborn, and Bokeh visualization libraries

₹700 ~~₹4542.99~~

By Manas Dasgupta

Time 6hrs 26mins

Published in Jun 2022

Product Type Video

Edition 1st Edition

What do you get with a video?

Download this video in MP4 format

DRM FREE - Read whenever, wherever and however you want

Key benefits

The art of presenting data in the form of powerful, innovative, and intuitive visualizations

In-depth coverage of Matplotlib, Seaborn, and Bokeh visualization libraries

Use of data analytics techniques/Exploratory Data Analysis (EDA) using several data generations and manipulation methods

Description

If you are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course takes a holistic approach to teach visualization techniques. We will be taking real-life business scenarios and raw data to go through detailed Exploratory Data Analysis (EDA) techniques to prepare the raw data to suit the appropriate visualization needs. You will learn about data analytics and exploratory data analysis techniques using multiple different data structures with NumPy and Pandas libraries. You will also learn various chart/graph types, customization/configuration, and vectorization techniques. We will look at advanced visualizations using business applications such as single and multiple bar charts, pie charts, and bubble charts with the vectorization of properties. We will further explore Seaborn Boxplot, Violin plot, Categorical Scatterplot, and how to create heat maps. By the end of the course, you will learn the foundational techniques of data analytics and deeper customizations on visualizations. You will be able to confidently use Python visualization libraries such as Matplotlib, Seaborn, and Bokeh in your future projects. All resources and code files are placed here: https://github.com/PacktPublishing/Data-Analytics-using-Python-Visualizations

Who is this book for?

This course is for Python and machine learning developers, data scientists, data analysts, and business analysts. This course will also be beneficial to leaders, managers, and anyone whose job involves presenting data in the form of visuals, which include developers, architects, and system analysts. A basic understanding of Python will be helpful, but not mandatory.

What you will learn

Learn about the various visualization concepts

Learn to create simple plots using Matplotlib

Learn about marginal histograms and marginal boxplots

Learn handling images using pixel metrics

Learn about categorical variables and histograms (with EDA)

Learn various data generation techniques

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Data Analytics Using Python Visualizations

Level up your data science, ML, and analytics with powerful visualizations using Matplotlib, Seaborn, and Bokeh visualization libraries

What do you get with a video?

Key benefits

Description

Who is this book for?

What you will learn

Frequently bought together

Recommendations for you

People who bought this also bought

About the author

FAQs

Data Analytics Using Python Visualizations

Level up your data science, ML, and analytics with powerful visualizations using Matplotlib, Seaborn, and Bokeh visualization libraries

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What do you get with a video?

Key benefits

Description

Who is this book for?

What you will learn

Frequently bought together

Recommendations for you

People who bought this also bought

About the author

FAQs

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