KNIME – A Guide for Absolute Beginners

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Dan We

2:31:35

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01.01-welcome and introduction.mp4

01:11

01.02-let us get started with knime-the interface.mp4

09:30

01.03-let us take a look at our case study data.mp4

02:44

01.04-reading data into knime-the basics..mp4

16:41

01.05-using loops for data import-how to be more efficient in knime.mp4

12:17

01.06-data cleaning and saving files with knime.mp4

12:41

01.07-webscraping in knime-extracting currency exchange rates from an api.mp4

15:10

01.08-joining and cleaning our data in knime.mp4

19:52

01.09-final data cleaning and preparation steps for visualizing our results.mp4

21:30

01.10-bonus-saving the data as a hyper format for tableau.mp4

06:19

01.11-visualization-an introduction on how to visualize in tableau or power bi.mp4

09:22

01.12-predictive analytics in knime-machine learning ai to predict customer churn.mp4

23:46

01.13-knime-log out and final words.mp4

00:32

9781801078108 Code.zip

Description

Data cleaning is always a big hassle, especially if we are short on time and want to deliver crucial data analysis insights to our audience. KNIME makes the data prep process efficient and easy. With KNIME, you can use the easy-to-use drag-and-drop interface, if you are not an experienced coder. But if you know how to work with languages such as R, Python, or Java, you can use them as well. This makes KNIME a truly flexible and versatile tool.

In this course, we start from the basics and learn KNIME in a (hopefully) fun and easy way by going through a case study together and prepare the data based on the requirements in the case study.

After completing our data prep, we will learn how to visualize data using tools such as Power BI and Tableau.

Finally, we also briefly cover the predictive analytics capabilities of KNIME and see how easy machine learning in KNIME can be.

By the end of this course, you will be able to use KNIME for data cleaning and data preparation without any code.

All the resources and supportive files for this course are available at https://github.com/PacktPublishing/KNIME-A-Guide-for-Absolute-Beginners

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Dan We

Instructor's Courses

Dan We is a 32-year-old entrepreneur, data scientist, and data analytics/visual analytics consultant. He holds a master’s degree and is certified in Power BI as a qualified associate in Tableau. He is currently working in business intelligence and helps major companies get key insights from their data in order to deliver long-term growth and outpace their competitors. He is committed to supporting other people by offering them educational services to help them accomplish their goals and become the best in their profession or explore a new career path.

PacktPub

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Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.