Book Image

Data Analytics Made Easy

By : Andrea De Mauro
4 (1)
Book Image

Data Analytics Made Easy

4 (1)
By: Andrea 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)
10
And now?
12
Other Books You May Enjoy
13
Index

Chapter 9

  • To learn more about Tableau, I recommend Meier, M., Baldwin, D. Mastering Tableau 2021: Implement advanced business intelligence techniques and analytics with Tableau. Packt Publishing Ltd, 2021 and Loth, A. Visual Analytics with Tableau. John Wiley & Sons, 2019.
  • To begin your first steps in Python, check out: Matthes, E. Python crash course: A hands-on, project-based introduction to programming, No Starch Press, 2019, and then to deep dive on machine learning applications: Raschka, S., Mirjalili, V. Python machine learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2. Packt Publishing Ltd, 2019.
  • A good example of integrating KNIME, Python, and Tableau is Ganzaroli, D., "Data Science With KNIME, Jupyter, and Tableau Using COVID-19 Projections as an Example", Low Code for Advanced Data Science (2021), http://tiny.cc/knimefusion.
  • To learn more about integrating H2O Driverless AI with KNIME, you can refer to this...