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Code Free Data Science

Code Free Data Science

FREE

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8.8/10 (Our Score)
Product is rated as #75 in category Data Science

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data–driven decisions. During the class learners will acquire new skills to apply predictive algorithms to real data, evaluate, validate and interpret the results without any pre requisites for any kind of programming. Participants will gain the essential skills to design, build, verify and test predictive models. You Will Learn – How to design Data Science workflows without any programming involved – Essential Data Science skills to design, build, test and evaluate predictive models – Data Manipulation, preparation and Classification and clustering methods – Ways to apply Data Science algorithms to real data and evaluate and interpret the results UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are …

Instructor Details

Courses Code Free Data Science Hadoop Platform and Application Framework

Specification: Code Free Data Science

Duration

16 hours

Year

2019

Level

Beginner

Certificate

Yes

Quizzes

Yes

4 reviews for Code Free Data Science

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  1. kalikinkar

    Good over all information provided on bigdara

    Helpful(1) Unhelpful(0)You have already voted this
  2. Paulo O M d P e S

    Alguns exercicios e testes nao possuiam informacoes suficientes ou precisas sobre as configuracoes a serem utilizadas, o que dificultava que os valores esperados fossem encontrados de primeira.

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  3. JAMES S Q

    Very relevant course.

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  4. Codrin K

    Assignments need to be better described and settings details or results can vary.

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