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.
Understand the potential of data and its impact on your business
Import, clean, transform, combine data feeds, and automate your processes
Influence business decisions by learning to create engaging presentations
Build real-world models to improve profitability, create customer segmentation, automate and improve data reporting, and more
Create professional-looking and business-centric visuals and dashboards
Open the lid on the black box of AI and learn about and implement supervised and unsupervised machine learning models
No previous math, statistics, or computer science knowledge is required.