1. Congratulations!
Congratulations for reaching the end of this course!
2. Recap
Together, we have explored the basic steps of a typical data analysis process by helping out the HR department analyzing their data. Let's review what we have learned.
3. KNIME Analytics Platform
Your companion was KNIME Analytics Platform. You are now familiar with its user interface and can create your data analysis pipeline with visual programming.
4. Data access
With it, you can access data from different sources. You can read local and remote files with the dedicated nodes, and you know how to build simple database queries.
5. Data cleaning
You are aware that the data that you read are not always clean and know how to filter it, remove duplicates, handle missing values, convert types and clean strings.
6. Data merging and aggregation
Data tables must be put together, and you can do it with the value lookup operation. And finally, you can summarize a table performing some data aggregation.
7. More to come
It was a big experience, but it was just the beginning.
You can perform basic data analysis operations, but what about more complex aggregations? Or visualizing your data, creating a report, automating repetitive tasks? There are thousands of things that you can do with KNIME. Keep learning and discover what you can achieve!
8. Congratulations!
Once again, thank you for joining me on this course, and I’ll see you very soon.