Packt Publishing
Jupyter Notebook is a web–based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations as it is also a powerful tool for interactive data exploration, visualization and has become the standard tool among data scientists.
This course is a step–by–step guide to exploring the possibilities in the field of Jupyter. You will first get started with data science to perform various task such as data exploration to visualization, using the popular Jupyter Notebook, along with this you will also learn how Python 3, R, and Julia can be integrated with Jupyter for various data science. Then you will learn data analysis tasks in Jupyter Notebook and work our way up to learn some common scientific Python tools such as pandas, matplotlib, plotly & work with some real datasets. Along with this, you will also learn to create insightful visualizations, showing time–stamped and spatial data. Finally, you will master relatively advanced methods in interactive numerical computing, high–performance computing, and data visualization.
By the end of this course, you will comfortably leverage the power of Jupyter to perform various data science tasks efficiently.
Contents and Overview
This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.
Instructor Details
Courses : 212
Specification: Data Science & Real World Computing with Jupyter Notebook
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4 reviews for Data Science & Real World Computing with Jupyter Notebook
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| Price | $14.99 |
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| Provider | |
| Duration | 8.5 hours |
| Year | 2018 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
William Brent Lander –
Well thought out. Excellent speaker. In the first part, when defining terms (e.g. menu items, cells) the definition of the item includes the item, and is not distinct. The second part gives several great examples of doing data science manipulations, producing results which are compelling. The presenter talks through the details of building the data transformations in a very understandable way.
Jody Myers –
Explains well without belaboring the point
Pascal Geenens –
Boring lecture just reading lines of the slides. I can read myself ; )
Steve –
I am a little nervous about not having a Mac. I wish I had known this before buying this course.