Title
Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (AddisonWesley Data & Analy,Used
Delivery time: 8-12 business days (International)
The Foundational HandsOn Skills You Need to Dive into Data ScienceFreeman 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 editorUsing 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 professionallevel data science problems, including the widely used R language and Git versioncontrol 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 youve uncovered. Step by step, youll 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. Everythings focused on realworld 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 teamRegister your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.