Duration
35 hours (usually 5 days including breaks)
Requirements
Analytical thinking approach.
Basics of statistics and mathematical analysis.
Overview
KNIME is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with only minimal, programming. To some extent as advanced analytics tool KNIME can be considered as a SAS alternative.
Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas like CRM customer data analysis, business intelligence and financial data analysis.
Course Outline
- Introduction to data processing and data analysis
- Fundamental information of KNIME platform
- Installation and configuration
- Overview of the interface
- Discussion of tool integration
- Building workflows
- Methodology of creating business models and data modeling
- Documentation
- import and export workflows
- Basic nodes
- Design ETL processes
- Data mining
- Data Import
- from files
- from relational databases using SQL
- creating SQL queries
- Advanced nodes
- Data analysis:
- data preparation
- data check-up
- statistical data examination
- data modeling
- Introduction to Flow Variables and Loops
- Advanced process automation
- Visualization Features
- Open source data sources
- Data mining basics
- selected types of Data Mining tasks and processes
- Getting more knowlegde from data
- Web Mining
- SNA
- Text Mining
- Data visualization on graphs
- Install Extensions and Integrations
- R
- Java
- Python
- Gephi
- Neo4j
- Reporting
- Overview
- BIRT Integration
- KNIME WebPortal
- Conclusion and Q&A session
Duration
21 hours (usually 3 days including breaks)
Requirements
A basic aptitude for making sense out of data.
Overview
KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.
This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows
Certification
NobleProg and KNIME design, build and deliver end-to-end advanced analytics solutions that are customized to each customer’s business needs.
By combining KNIME’s leading open solution for data driven innovation with NobleProg’s domain and technical expertise in analytics, we help our customers reduce costs and gain data-driven insights for better business outcomes.
Course Outline
Getting Started with KNIME
- KNIME Analytics Platform Overview
- Installation
- GUI Based Programming
- Workflows
- Nodes
- Importing Workflows
Data Access
- Reading From A Text File
- Database Access
- External REST Services
- Artificial Data Generation
Visualization
- Data Visualization
- JavaScript Based Visualization
- Data Views
- Highlighting
- Graphics Through R
- ETL And Data Manipulation
Data Filtering
- Data Aggregations
- Concatenation And Join
- Data Transformations
- Workflow Clean Up
- Datetime Manipulation
- In-Database Processing
Data Mining
- Process Overview
- Training And Applying A Decision Tree
- Scoring A Model
- PMML
- K-Means Clustering
- Recommendation Engines
- Other Models Available
Reporting
- Overview
- BIRT Integration
- KNIME WebPortal
Conclusion
