Description

Introduction of  KNIME Analytics:

The L4-TP: Text Processing in KNIME Analytics Platform certification offers a comprehensive curriculum designed for professionals seeking to harness the power of text data in their analytics projects. This certification provides an in-depth exploration of text mining techniques, covering essential processes such as data preprocessing, tokenization, sentiment analysis, and topic modeling. Participants will gain hands-on experience in building and optimizing workflows within the KNIME platform, allowing them to effectively manage and analyze unstructured data.

By mastering these techniques, candidates will be equipped to derive meaningful insights from text sources, enabling data-driven decision-making in various domains. This certification is particularly beneficial for data analysts, data scientists, and business analysts who aim to enhance their expertise in text analytics and contribute to their organizations’ data strategies.

Prerequisites for L4-TP: Text Processing in KNIME Analytics Platform Certification:

1. Basic Knowledge of KNIME:
   Familiarity with the KNIME Analytics Platform interface and basic workflow creation.
2. Understanding of Data Analytics:
   A foundational understanding of data analytics concepts, including data manipulation and visualization.
3. Programming Skills (Optional):
   Basic knowledge of programming languages such as Python or R can be beneficial but is not mandatory.
4. Familiarity with Text Data:
   Basic understanding of text data structures and common text processing techniques.
5. Analytical Thinking:
   Ability to approach problems analytically and a willingness to experiment with different text processing methods.

Cost: $150

Prerequisites: L1, L2, & L3 Certification
Recommended Preparation Courses: L4-TP
65 minute multiple-choice exam: 45 questions

Topics Covered:

• General text mining concepts
• Introduction to text processing and Importing text
• Creating Document objects, parsing and tagging
• Cleaning and transforming text into numeric representations
• Advanced applications, such as visualizations of world frequencies and topic modeling

Conclusion:
This certification demonstrates proficiency in handling complex text data with KNIME, enabling data-driven solutions through advanced text analytics. It validates expertise in building workflows for effective text processing.

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