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PROFESSIONAL SCRUM DEVELOPMENT WITH AZURE DEVOPS 1ST EDITION
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PROGRAMMING SKILLS FOR DATA SCIENCE
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PROFESSIONAL SERVER: A TRAINING MANUAL, 3RD EDITION
Publisher:
PEARSON INDIA
| Author:
EDWARD
| Language:
English
| Format:
Paperback
Publisher:
PEARSON INDIA
Author:
EDWARD
Language:
English
Format:
Paperback
₹595 ₹476
Save: 20%
In stock
Ships within:
1-4 Days
In stock
ISBN:
SKU
9789353941925
Category Computer Engineering/IT Engineering
Category: Computer Engineering/IT Engineering
Page Extent:
396
Programming Skills for Data Science brings together all the foundation skills needed to transform raw data into actionable insights for domains ranging from urban planning to precision medicine, even if you have no programming or data science experience.
Guided by expert instructors Micheal Freeman and Joel Ross, this book will help learners install the tools required to solve professional-level data science problems, including widely used R language, RStudio integrated development environment, and Git version-control system. It explains how to wrangle data into a form where it can be easily used, analyzed, and visualized so others can see the patterns uncovered. Step by step, students will master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales.
Salient Features
1. Guides students through setting up their computer for data science, understanding how the pieces fit together, and successfully using them to solve real problems
2. Introduces R, RStudio, git, GitHub, Markdown, Shiny, and other leading tools
3. Covers everything from preparing raw data to creating beautiful, sharable visualizations
4. Anticipates questions and demystifies complex ideas, reflecting the authors’ experience introducing data science to thousands of students”
Be the first to review “PROFESSIONAL SERVER: A TRAINING MANUAL, 3RD EDITION” Cancel reply
Description
Programming Skills for Data Science brings together all the foundation skills needed to transform raw data into actionable insights for domains ranging from urban planning to precision medicine, even if you have no programming or data science experience.
Guided by expert instructors Micheal Freeman and Joel Ross, this book will help learners install the tools required to solve professional-level data science problems, including widely used R language, RStudio integrated development environment, and Git version-control system. It explains how to wrangle data into a form where it can be easily used, analyzed, and visualized so others can see the patterns uncovered. Step by step, students will master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales.
Salient Features
1. Guides students through setting up their computer for data science, understanding how the pieces fit together, and successfully using them to solve real problems
2. Introduces R, RStudio, git, GitHub, Markdown, Shiny, and other leading tools
3. Covers everything from preparing raw data to creating beautiful, sharable visualizations
4. Anticipates questions and demystifies complex ideas, reflecting the authors’ experience introducing data science to thousands of students”
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