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THIS WEEK ASSIGNMENT

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer porta maximus ex, et pellentesque tortor venenatis eget. Suspendisse nec tortor finibus, efficitur nibh vitae, tincidunt mi. Phasellus ullamcorper tellus at nulla pharetra pulvinar. Maecenas auctor tincidunt mauris, a volutpat urna commodo non. Morbi ipsum erat, fringilla at scelerisque nec, dictum sit amet eros. Ut tortor mauris, euismod sed lectus in, fringilla laoreet sapien. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer porta maximus ex, et pellentesque tortor venenatis eget. Suspendisse nec tortor finibus, efficitur nibh vitae, tincidunt mi. Phasellus ullamcorper tellus at nulla pharetra pulvinar. Maecenas auctor tincidunt mauris, a volutpat urna commodo non. Morbi ipsum erat, fringilla at scelerisque nec, dictum sit amet eros. Ut tortor mauris, euismod sed lectus in, fringilla laoreet sapien. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer porta maximus ex, et pellentesque tortor venenatis eget. Suspendisse nec tortor finibus, efficitur nibh vitae, tincidunt mi. Phasellus ullamcorper tellus at nulla pharetra pulvinar. Maecenas auctor Morbi ipsum erat, fringilla at scelerisque nec, dictum sit amet eros. Ut tortor mauris, euismod sed lectus in,Morbi ipsum erat, fringilla at scelerisque nec, dictum sit amet eros. Ut tortor mauris, euismod sed lectus in


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THIS WEEK ASSIGNMENT

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer porta maximus ex, et pellentesque tortor venenatis eget. Suspendisse nec tortor finibus, efficitur nibh vitae, tincidunt mi. Phasellus ullamcorper tellus at nulla pharetra pulvinar. Maecenas auctor tincidunt mauris, a volutpat urna commodo non. Morbi ipsum erat, fringilla at scelerisque nec, dictum sit amet eros. Ut tortor mauris, euismod sed lectus in, fringilla laoreet sapien. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer porta maximus ex, et pellentesque tortor venenatis eget. Suspendisse nec tortor finibus, efficitur nibh vitae, tincidunt mi. Phasellus ullamcorper tellus at nulla pharetra pulvinar. Maecenas auctor tincidunt mauris, a volutpat urna commodo non. Morbi ipsum erat, fringilla at scelerisque nec, dictum sit amet eros. Ut tortor mauris, euismod sed lectus in, fringilla laoreet sapien. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer porta maximus ex, et pellentesque tortor venenatis eget. Suspendisse nec tortor finibus, efficitur nibh vitae, tincidunt mi. Phasellus ullamcorper tellus at nulla pharetra pulvinar. Maecenas auctor Morbi ipsum erat, fringilla at scelerisque nec, dictum sit amet eros. Ut tortor mauris, euismod sed lectus in,Morbi ipsum erat, fringilla at scelerisque nec, dictum sit amet eros. Ut tortor mauris, euismod sed lectus in consectetur adipiscing elit. Integer porta maximus ex, et pellentesque tortor venenatis eget. Suspendisse nec tortor finibus, efficitur nibh vitae, tincidunt mi. Phasellus ullamcorper tellus at nulla pharetra pulvinar. Maecenas auctor Morbi ipsum erat, fringilla at scelerisque nec,

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Course Description

This course contains 51 lectures and 6 hours of content, specially created for those with an interest in data analysis, programming, or the Python programming language. Once you have Python installed and are familiar with the language, you'll be all set to go.

The course begins with covering the fundamentals of Pandas (the library of data structures you'll be using) before delving into the most important functions you'll need for data analysis; creating and navigating data frames, indexing, visualizing, and so on. Next, you'll get into the more intricate operations run in conjunction with Pandas including data manipulation, logical categorizing, statistical functions and applications, and more. Missing data, combining data, working with databases, and advanced operations like resampling, correlation, mapping and buffering will also be covered.

By the end of this course, you'll have not only have grasped the fundamental concepts of data analysis, but through using Python to analyze and manipulate your data, you'll have gained a highly specific and much in demand skill set that you can put to a variety of practical used for just about any business in the world.

Purchase Price: $29.00

Released on: 01/16/2017

Updated on: 01/16/2017

Category: Essentials, Essentials

Total Duration: 6h 10m 8s

Level: Intermediate

Language: en

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The author provided for you some example files. Example files can range from 3d Scenes to Photoshop projects, from Premiere projects to code. They are very helpful to understand more the concepts explained in the course.


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Tools used: Python

Prerequisites: Python installed, Experience writing basic programs in python, Familiar with basic data analysis concepts

Tags: python, pandas, data analysis, data, numpy