Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Data Analytics Made Easy
  • Table Of Contents Toc
  • Feedback & Rating feedback
Data Analytics Made Easy

Data Analytics Made Easy

By : De Mauro
4.7 (12)
close
close
Data Analytics Made Easy

Data Analytics Made Easy

4.7 (12)
By: De Mauro

Overview of this book

Data Analytics Made Easy is an accessible beginner’s guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don’t worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You’ll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You’ll not only be able to understand data scientists’ machine learning models; you’ll be able to challenge them and build your own. Creating interactive dashboards – Follow the book’s simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results.
Table of Contents (14 chapters)
close
close
10
And now?
12
Other Books You May Enjoy
13
Index

The art of persuading others

Being right is not enough: this is the plain and sometimes upsetting reality faced by many data practitioners who cannot have their points—however truthful and insightful—heard and accepted by those in charge. As we saw in the first chapter, there are multiple routes for leveraging data analytics to create economic value, which we called data-to-value paths. In most cases, to create value, we need data to influence others to make the right decisions or take the appropriate actions. Think about this now: all you have seen so far in the book—all the efforts to transform your data, find insights, and build robust models—will sadly remain useless if we miss the last bit of the chain, which is impacting the actions of others. It is in our best interests to protect our work from becoming irrelevant by driving it all the way through to action, without making the naïve assumption that "it is enough to do the math work.&quot...

Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Data Analytics Made Easy
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon