How Long to Read Data Science Foundations Tools and Techniques

How Long Does it Take to Read Data Science Foundations Tools and Techniques?

It takes the average reader 14 hours and 7 minutes to read Data Science Foundations Tools and Techniques by Michael Freeman

Assuming a reading speed of 250 words per minute. Learn more

Description

The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” –From the foreword by Jared Lander, series editor Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you’ve uncovered. Step by step, you’ll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything’s focused on real-world application, so you can quickly start analyzing your own data and getting answers you can act upon. Learn to Install your complete data science environment, including R and RStudio Manage projects efficiently, from version tracking to documentation Host, manage, and collaborate on data science projects with GitHub Master R language fundamentals: syntax, programming concepts, and data structures Load, format, explore, and restructure data for successful analysis Interact with databases and web APIs Master key principles for visualizing data accurately and intuitively Produce engaging, interactive visualizations with ggplot and other R packages Transform analyses into sharable documents and sites with R Markdown Create interactive web data science applications with Shiny Collaborate smoothly as part of a data science team Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

How long is Data Science Foundations Tools and Techniques?

Data Science Foundations Tools and Techniques by Michael Freeman is 834 pages long, and a total of 211,836 words.

This makes it 281% the length of the average book. It also has 259% more words than the average book.

How Long Does it Take to Read Data Science Foundations Tools and Techniques Aloud?

The average oral reading speed is 183 words per minute. This means it takes 19 hours and 17 minutes to read Data Science Foundations Tools and Techniques aloud.

What Reading Level is Data Science Foundations Tools and Techniques?

Data Science Foundations Tools and Techniques is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Data Science Foundations Tools and Techniques?

Data Science Foundations Tools and Techniques by Michael Freeman is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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