Introduction to KNIME: Pre-processing and visualizing data

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Hands-on exercises deeply focused on the pre-processing (manipulation/wrangling) and visualizing phase - KNIME 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 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. What you'll learn Pre-process the data (data wrangling) by using Knime analytics platform Model and transform data in KNIME Visualise the data in charts and plots in KNIME Work with the KNIME nodes focused on data wrangling and visualisation Read data and work with more and different file types at one place Join and merge different data Modify, filter, resort, split, filter data, handle with missing values Group and pivot data Use basic math formulas in KNIME Visualise data by using different plots and charts (box plot, pie chart, scatter plot, line plot, histogram) Handle with KNIME knwf files (create, save, move, rename, delete, export, import) Understand the KNIME environment Who this course is for: data analysts, data scientists and those of you willing to learn new things anyone searching open-source, user-friendly, easily understandable and highly effective SW for data analyzing and machine learning tasks without necessity to have programming skills people working with data (also with big data) Course Info: Title: Introduction to KNIME: Pre-processing and visualizing data Description Course: Hands-on exercises deeply focused on the pre-processing (manipulation/wrangling) and visualizing phase - KNIME Instructor: Barbora Stetinova, MBA Duration: 2.5 hours on-demand video Online Classes Platfrom: Udemy GET Udemy Discount Introduction to KNIME: Pre-processing and visualizing data

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