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Introduction to Data Science 4
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IntroductionLecture1.1
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ApplicationsLecture1.2
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Tools and TechnologyLecture1.3
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Data Science ProcessLecture1.4
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Introduction to KNIME Analytics Platform 3
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IntroductionLecture2.1
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Installing KNIME Analytics PlatformLecture2.2
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The KNIME WorkbenchLecture2.3
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Importing Data 3
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Data Source NodesLecture3.1
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Reading FilesLecture3.2
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Connecting to a DatabaseLecture3.3
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Data Manipulation and Aggregation 3
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Data Manipulation NodesLecture4.1
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AggregationLecture4.2
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Data Integration and JoinLecture4.3
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Data Visualization 4
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Visualization NodesLecture5.1
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InteractivityLecture5.2
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Interactive View NodesLecture5.3
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Graphics from RLecture5.4
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Data Mining 5
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Process OverviewLecture6.1
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Learner/Predictor MotifLecture6.2
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Creating Test and Training SetsLecture6.3
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Classification Problem & Decision TreeLecture6.4
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Regression Problem & Linear RegressionLecture6.5
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Data Export and Reporting 3
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File Writer NodesLecture7.1
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Database Write/UpdateLecture7.2
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ReportingLecture7.3
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Capstone Project 0
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Quiz 0
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Data Source Nodes