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[eBook] Data Smart: Using Data Science to Transform Information into Insight, 2nd Edition - Free @ Tradepub

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This eBook costs $53.99 on Amazon AU as a Kindle Edition

So free sounds good.

Want to jump into data science but don't know where to start?

Let's be real, data science is presented as something mystical and unattainable without the most powerful software, hardware, and data expertise. Real data science isn't about technology. It's about how you approach the problem.

In this updated edition of Data Smart: Using Data Science to Transform Information into Insight, award-winning data scientist and bestselling author Jordan Goldmeier shows you how to implement data science problems using Excel while exposing how things work behind the scenes.

Data Smart is your field guide to building statistics, machine learning, and powerful artificial intelligence concepts right inside your spreadsheet.

Inside you'll find:

•Four-color data visualizations that highlight and illustrate the concepts discussed in the book
•Tutorials explaining complicated data science using just Microsoft Excel
•How to take what you've learned and apply it to everyday problems at work and life
•Advice for using formulas, Power Query, and some of Excel's latest features to solve tough data problems
•Smart data science solutions for common business challenges
•Explanations of what algorithms do, how they work, and what you can tweak to take your Excel skills to the next level

Data Smart is a must-read for students, analysts, and managers ready to become data science savvy and share their findings with the world.

Offer Expires 3/13/2024

Credit to Chollometro

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closed Comments

  • +2

    Anyone have the direct download link by chance?

  • I realise the text is a direct copy n paste, and that is fine, but please make the expiry date after it match the Oz where we are bargaining.

  • +7

    Hmmmm, I work in an adjacent field and I'm suss on anyone who thinks Excel can be a primary tool in data science. Better off learning Python or R along with SQL.

    Excel + PowerQuery is for a career path of business intelligence and reporting, not data science. Nothing wrong with this of course, perfectly valid career with plenty of employment opportunities and arguably more tangible business need but yeah it ain't data science.

    • +1

      Yeah, I haven't used power query but for what I did at least Excel is a resource hog.

      Not to mention VBs peculiarities, eg. One line of code was silently failing as though that line of code was just being skipped. Looked up the MS docs for the function that was being called, found a KB with a workaround: "Comment out lines of code that call this function". So, absolutely no difference then…. smdh

      It's ok for analysis on smaller data sets. Wouldn't want to use it for larger projects, at least not with the setup we had available.

    • -1

      Nothing wrong with Excel as a learning tool for data science, I have seen people teach machine learning using Excel. At the end of the day it's just another tool like a screwdriver vs an impact driver for assembling furniture, what you want to do is learn the concept so you ain't relied on the particular tool so that you can assemble furniture even if you only have a coin.

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