Training

Instructor: Jon Fuller and Iris Adä (KNIME)
When: Feb 22, 10:00am–6:00pm
Room: Kreuzberg

This course is designed to provide a supervised introduction to the KNIME Analytics Platform. Learn to import data from a variety of sources, manipulate data, build & evaluate a simple model, visualize results, and generate simple reports. Topics include:

• Getting Started with KNIME Analytics Platform
• Reading Data
• Data Manipulation & Aggregation
• Visualization & Highlighting
• Introduction to Data Mining & Model Selection
• Data Export & Reporting

At 7 PM we invite all KNIME Analytics Platform Basic Training participants to a dinner in Maximilians, Friedrichstraße 185-190, 10117 Berlin.

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Instructor: Jon Fuller and Iris Adä (KNIME)
When: Feb 23, 10:00am–6:00pm
Room: Friedrichshain 

This seminar expands on the topics covered during KNIME Analytics Platform Basic Training. It is suitable for users who have a good working knowledge of basic functionality of KNIME Analytics Platform. Topics covered include:

• Flow Variables
• Workflow Control
• Data Mining
• Time Series Analysis
• External Tool Integration
• Introduction to Node Development
• Applications & Use Cases
• Open Session

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Instructor: Kilian Thiel (KNIME)
When: Feb 23, 10:00am–6:00pm
Room: Atrium III

This course is focused on the processing and mining of textual data with the KNIME Analytics Platform using the Text Processing extension. Learn to read textual data in KNIME, enrich semantically, preprocess, transform into numerical data, and finally cluster, visualize, and build predictive models. Text mining experience is not required for this training. Topics covered include:

• Short Introduction to KNIME
• Reading and Importing Textual Data
• Text Preprocessing, Semantic Enrichment, and Transformation
• Text Classification
• Visualization
• Text Clustering

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Instructor: Tobias Kötter and Björn Lohrmann (KNIME)
When: Feb 23, 10:00am–6:00pm
Room: Charlottenburg

This training will focus on database nodes and configuration with KNIME Analytics Platform, as well as KNIME Big Data Connectors and KNIME Spark Executor commercial extensions. Learn how to:

• Connect to different databases such as Hive
• Perform in-database processing
• Write data into a database
• Handle HDFS files
• Pass data to Spark
• Do data pre-processing in Spark
• Learn models with Spark MLlib
• Export data from Spark into KNIME and Hadoop

Attendees will get a one year single-user license subscription for the KNIME Big Data Connectors and the KNIME Spark Executor.

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Instructor: Stefan Weingärtner (DATATRONIQ GmbH & AdvancedAnalytics.Academy GmbH)
When: Feb 23, 10:00am–6:00pm
Room: Kreuzberg

This course is designed to teach essentials of Advanced Analytics. Learn to explore and prepare data, select appropriate algorithms and settings. Learn best practices for selecting , building, evaluating, and deploying models with the KNIME Analytics Platform: Topics covered include:

• Data Science, Data Mining, Machine Learning, Predictive Modeling, Knowledge Discovery: Key concepts of Advanced Analytics
• Advanced Analytics-Algorithms with the KNIME Analytics Platform
• Data Preparation and Data Exploration for Advanced Analytics (e.g. Feature Engineering, Missing Value & Outlier Treatment)
• Supervised Learning (Decision Trees, Logistic Regression, Neural Networks, Uplift Modeling, Ensemble Modeling)
• Unsupervised Learning (Cluster Analysis, Association Analysis)
• Model Assessment & Model Comparison
• Model Deployment

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