Extending Your Toolbox
Getting up to speed with the latest tools and novel techniques in data analytics is surely a never-ending process. In this field, you need to be ready to update and expand your knowledge continuously. So far in this book, we have acquired a number of vital, application-agnostic data techniques such as data cleaning and modeling, machine learning, data visualization, and storytelling. We have also learned how to apply them through a solid application toolbox made of KNIME and Power BI. As we approach the end of our journey, we should see what else is available and how to integrate all the applications together to make the best out of all of them.
In particular, we will cover the following questions:
- What is Tableau, and how can I use it for visualization and storytelling?
- What is Python, and how do I get started with it?
- How can I boost my workflows by integrating Python or any other code?
- How can I use KNIME extension packages to add functionalities...
