Linkedin Learning – Data Science Made Easy Hands-On Analytics With No-Code Software Tool KNIME By Pearson 2026 BOOKWARE-LERNSTUF

Linkedin Learning – Data Science Made Easy Hands-On Analytics With No-Code Software Tool KNIME By Pearson 2026 BOOKWARE-LERNSTUF | Apps-Tutorials | MKV | 761.92 MiB

438 kb/s 1280×720 | AAC 2 CH

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                               Linkedin Learning
 Data Science Made Easy: Hands-On Analytics With No-Code Software Tool KNIME By
                                    Pearson
                                      2026
            __.                                                ..            . 
 .. - -  - /- --- _- [   R E L E A S E   D E T A i L S   ]- . ./\ . - __./---' 
  Release Date : 2026-02-13
  Publisher    : Linkedin Learning
  Title        : Data Science Made Easy: Hands-On Analytics With No-Code Software Tool KNIME By Pearson
  Year         : 2026
  Month        : February
  Category     : Data-Science Knime
  Language     : English
  Section      : BOOKWARE
  Files        : 03 x 300 MB
               _                                             .                 
 .. - - ___- _/ \____--[   R E L E A S E   N O T E S   ] _-- -\\_ ___--'-__ .. 
 https://www.linkedin.com/learning/data-science-made-easy-hands-on-analytics-wi
                   th-no-code-software-tool-knime-by-pearson
   Explore the fundamental concepts, methods, algorithms, and applications of
  data science. Learn about the current best practices in the field and how to
 execute them using the intuitive, visual, no-code software tool KNIME. Get an
    overview of data science, commonly used tools, ML model development with
  KNIME, and the relationship between data science, AI, and machine learning.
   Along the way, develop essential skills in text analytics and text mining.
                _       .                                 __.                  
 .. - - _//- ___\____---' [   R E C R U i T i N G   ] . - _\_ ___--'-_ -- -_ . 
                         iF YOU HAVE ANYTHiNG TO OFFER                         
                CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW               
              ...       .                                      ___.            
 .. - - ___- _/ \____--' \ [   G R E E T i N G S   ] _-------' \\___-- -  // . 
    GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE    
       STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE       
          _                                                   _             _  
 .. -_- -/_- __--\__ [   C O N T A C T   D E T A i L S   ] --- -___-- -  \ - . 
                         lernstuf [at] proton [dot] me                         
               .          .                    .-.                .            
 .. - - ___- _/ \____---' \\___-- .. - - ___- _/ \___----  -___-/__-- -  -- .  
           ._/       -     '                 -                 '    - .        
File List:
9.9M	001-data_science_made_easy_introduction.mkv
2.3M	002-topics.mkv
37M	003-definition_terminology_and_a_simple_taxonomy.mkv
44M	004-data_science_process.mkv
32M	005-data_science_methods_and_algorithms.mkv
48M	006-ai_ml_evolution.mkv
2.5M	007-topics-2.mkv
40M	008-tool_landscape.mkv
40M	009-introduction_to_knime_ap.mkv
5.9M	010-nodes_and_extensions.mkv
25M	011-knime_demo_with_iris_dataset-part_1.mkv
59M	012-knime_demo_with_iris_dataset-part_2.mkv
2.0M	013-topics-3.mkv
48M	014-data_ingestion_and_preparation-part_1.mkv
34M	015-data_ingestion_and_preparation-part_2.mkv
27M	016-ml_model_building_and_testing.mkv
19M	017-comparative_assessment.mkv
3.9M	018-topics-4.mkv
42M	019-data_balancing_for_class_imbalance_problem.mkv
28M	020-cross_validation_for_bias_variance_trade_off.mkv
35M	021-model_ensembles_with_bagging_and_boosting.mkv
50M	022-model_explainability_xai.mkv
2.5M	023-topics-5.mkv
20M	024-overview_of_text_mining_and_natural_language_processing_nlp.mkv
31M	025-text_mining_process.mkv
46M	026-tm_applications_sentiment_analysis.mkv
33M	027-tm_applications_topic_modeling.mkv
6.6M	028-data_science_made_easy_summary.mkv
652K	LERNSTUF
648K	LERNSTUF/lernstuf_introduction_2025.rar
762M	total

File: 001-data_science_made_easy_introduction.mkv
Size: 10343509 bytes (9.86 MiB), duration: 00:03:08, avg.bitrate: 440 kb/s
Audio: aac, 44100 Hz, stereo
Video: h264, yuv420p, 1280x720, 30.00 fps(r) (eng)
Subtitles: eng 
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Keywords: Linkedin, Learning, 8211, Data, Science, Made, Easy, Hands, Analytics, With, Code, Software, Tool, KNIME, Pearson, 2026, BOOKWARE, LERNSTUF
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