Get yourself trained on KNIME Hands-on guide with this Online Training KNIME Hands-on guide how to pre-process and visualise data.
Online Training KNIME Hands-on guide how to pre-process and visualise data
We will focus on the most time-consuming part of the machine learning process which is the data exploration consisting from data visualisation and data wrangling which serves for data transformation to get well prepared your data. We will use open-source, highly intuitive and effective analytics platform KNIME where we will read the data, transform them and visualise them by using KNIME nodes. The content of this course is:Brief theoretical introduction into the topicStart with the KNIME analytics platformGetting and reading the data into the KNIME workflowOptions how to work with KNIME nodesData exploration – Data wrangling (preparation and transformation) I – Table, Row transform, Row filter and split Data exploration Data wrangling (preparation and transformation) II – Column Binning, Column Convert and replace, Column Filter, Column Split, Column Transform, Data exploration – Data wrangling (preparation and transformation) III – Other data types date and time.Please be aware that this part (data exploration section) is also integrated into the Knime course “Data analyzing and machine learning with Knime” !Data exploration – Feature scalingData exploration Data visualisation:- Histogram, – Line plot, – Pie chart, – Scatter plot, – Box plotWe will focus on the standard simple charts and the Java script charts as well, which enable us to create better illustration of the charts and which offer more settings options.
Udemy helps organizations of all kinds prepare for the ever-evolving future of work. Our curated collection of top-rated business and technical courses gives companies, governments, and nonprofits the power to develop in-house expertise and satisfy employees’ hunger for learning and development.
Learn on your schedule with Udemy
Investing in yourself through Learning
As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.