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Murach’s Python for Data Science (2nd Edition) – eBook

eBook Details

  • Authors: Scott McCoy
  • File Size: 25 MB
  • Format: PDF
  • Length: 590 Pages
  • Publisher: Murach: Second Edition
  • Publication Date: ‎April 2, 2024
  • Language: ‎English
  • ISBN-10: 1943873186, 1943873178
  • ISBN-13: 9781943873180, 9781943873173

Original price was: $56.00.Current price is: $22.00.

SKU: murachs-python-for-data-science-2nd-edition-ebook Categories: , , Tags: , ,

About The Author

Joel Murach

Joel Murach

Joel Murach, the eldest son of publishing pioneer Mike Murach, has spent over 20 years crafting and refining books on computer programming. Throughout his career, he has extensively covered a diverse array of technologies, including Java, .NET, web development, and databases, earning best-selling status across all these categories. His books are a testament to his insightful and straightforward teaching style, making complex topics accessible to learners of all levels.

Scott McCoy

Murach’s Python for Data Science 2nd Edition

In today’s landscape, businesses are accumulating vast amounts of data. However, this data has no real value until it is analyzed to uncover insights that guide decision-making. This is why the US Bureau of Labor Statistics (BLS) predicts a continued increase in demand for data analysts throughout this decade.

With Murach’s Python for Data Science 2E as your comprehensive guide, you’ll master the use of Python libraries for acquiring, cleaning, preparing, and analyzing data at a professional level. Your journey begins with leveraging Pandas for data analysis and Seaborn for meaningful data visualization. Next, you’ll explore Scikit-learn to build regression models that enable predictive analysis. To reinforce your understanding, the ebook includes four hands-on analyses using real-world data, as engaging with such analyses is crucial for effective learning.

978-1943873180, 978-1943873173

NOTE: This only includes Murachs Python for Data Science, 2nd Edition, in original PDF. No access codes or other media included.