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Histogram, Box plots and Scatter plots using Seaborn and Matplotlib in Python - Tutorial 11
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In this Python for Data Science Tutorial, you will learn about how to create histograms, scatter plots and box plots in python using Jupyter notebook (Anaconda).
This is the 11th Video of Python for Data Science Course! In This series I will explain to you Python and Data Science all the time! It is a deep rooted fact, Python is the best programming language for data analysis because of its libraries for manipulating, storing, and gaining understanding from data. Watch this video to learn about the language that make Python the data science powerhouse. Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Harvard Business Review named data scientist "the sexiest job of the 21st century." Python pandas is a commonly-used tool in the industry to easily and professionally clean, analyze, and visualize data of varying sizes and types. We'll learn how to use pandas, Scipy, Sci-kit learn and matplotlib tools to extract meaningful insights and recommendations from real-world datasets.
Download Link for Cars Data Set:
Download Link for Enrollment Forecast:
Download Link for Iris Data Set:
Download Link for Snow Inventory:
Download Link for Super Store Sales:
Download Link for States:
Download Link for Spam-base Data Base:
Download Link for Parsed Data:
Download Link for HTML File:
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Please watch: "How to Calculate Age from Date of Birth in Excel in Years Months and Days (Simple Formula)"
-~-~~-~~~-~~-~-
This is the 11th Video of Python for Data Science Course! In This series I will explain to you Python and Data Science all the time! It is a deep rooted fact, Python is the best programming language for data analysis because of its libraries for manipulating, storing, and gaining understanding from data. Watch this video to learn about the language that make Python the data science powerhouse. Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Harvard Business Review named data scientist "the sexiest job of the 21st century." Python pandas is a commonly-used tool in the industry to easily and professionally clean, analyze, and visualize data of varying sizes and types. We'll learn how to use pandas, Scipy, Sci-kit learn and matplotlib tools to extract meaningful insights and recommendations from real-world datasets.
Download Link for Cars Data Set:
Download Link for Enrollment Forecast:
Download Link for Iris Data Set:
Download Link for Snow Inventory:
Download Link for Super Store Sales:
Download Link for States:
Download Link for Spam-base Data Base:
Download Link for Parsed Data:
Download Link for HTML File:
-~-~~-~~~-~~-~-
Please watch: "How to Calculate Age from Date of Birth in Excel in Years Months and Days (Simple Formula)"
-~-~~-~~~-~~-~-
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