Description

Introduction:
The L4-TS: Time Series Analysis in KNIME Analytics Platform certification is designed for professionals looking to enhance their skills in analyzing and forecasting time-based data using the KNIME Analytics Platform. This advanced course covers the fundamental principles of time series analysis, including data preparation, trend analysis, seasonality detection, and forecasting techniques. Participants will learn to utilize various KNIME nodes and tools tailored for time series data, enabling them to uncover patterns and make informed predictions based on historical data.

Through practical exercises and real-world examples, candidates will gain hands-on experience in developing and implementing time series models, utilizing advanced techniques such as ARIMA, exponential smoothing, and seasonal decomposition. This certification emphasizes best practices for handling time series data, ensuring data integrity and accuracy in analysis. By completing this course, professionals will be equipped to address complex time series challenges and drive data-driven decision-making within their organizations.

Additionally, the certification covers topics such as visualization techniques for time series data, model evaluation metrics, and integrating time series analysis with other data analytics processes. By mastering these skills, professionals will be well-prepared to extract actionable insights and contribute to strategic planning based on time-dependent data.

Cost: $150

Prerequisites: L1, L2, & L3 Certification

1. Basic Proficiency in KNIME:
   Completion of the L1: Basic Proficiency in KNIME Analytics Platform or equivalent knowledge.
2. Understanding of Data Analytics Concepts:
   Familiarity with data manipulation, visualization, and statistical concepts is essential.
3. Experience with Time Series Data:
   Prior experience working with time series data or basic knowledge of time series analysis will enhance the learning experience.
4. Analytical Skills:
   Strong analytical thinking to interpret trends and patterns in time-based data effectively.
5. Technical Skills (Optional):
   Basic knowledge of statistical modeling and forecasting techniques can be beneficial.

Recommended Preparation Courses: L4-TS
65 minute multiple-choice exam: 45 questions

Topics Covered:

• General Time Series Analysis Concepts
• Introduction to Time Series Analysis and KNIME Components
• Naive Method, ARIMA models, Residual Analysis
• Machine Learning, Model Optimization, Deployment

Conclusion:
This certification equips professionals with the skills to analyze and forecast time series data effectively using the KNIME Analytics Platform. By mastering these competencies, candidates can derive valuable insights and contribute to strategic decision-making in their organizations. Achieving this certification demonstrates a commitment to excellence in time series analysis.

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