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Learner Reviews & Feedback for Code Free Data Science by University of California San Diego

4.3
stars
199 ratings

About the Course

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...

Top reviews

NM

Mar 22, 2022

VERY GOOD COURSE TAILORED FOR EVERYONE WHO IS WILLING TO LEARN. KEEP IT'S UP . I HAVE LEARNED ALOT AND GAIN SOME VITALS KNOLWEDGES ABOUT KNIME MACHINE LEARNING ALGORITHM. THANK U SO MUCH COURSERA

AH

Jul 21, 2020

this course is so helpful for me as I am on the entry-level of data science learning.

however, 1 questions on the last quiz need to be reviewed,

Thank you, Coursera!

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51 - 57 of 57 Reviews for Code Free Data Science

By Jeevan A

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Nov 19, 2020

Very clearly explains the basics of using KNIME.

By Surya P S

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Jan 30, 2022

Great Course....simple and clear content...

By kinshuk

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Jun 16, 2021

it was a good and fun course

By ALBERTO C C

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Apr 18, 2023

Es un curso muy básico para personas que no tengan experiencia en programación ni análisis de datos. Está estructurado en 4 módulos. El primero de ellos está orientado a mentalizar de la importancia del Big Data y las principales dificultades. El segundo de ellos permite iniciarse en la herramienta visual KNIME, en mi opinión lo más interesante del curso. El tercer módulo introduce conceptos de manipulación y visualización básicos (filtrar columnas, filas, recodificación de columnas, gráficos, etc.). El último módulo introduce algunas técnicas de Machine Learning como árboles y K-means.

En general me parece que algunos de los documentos (especialmente algunos del primer módulo) que recomienda leer son prescindibles y lo interesante de los mismos lo cuenta en los vídeos que son de menor duración y permiten un aprendizaje más eficiente. Tampoco están bien calibrados los tiempos estimados ya que una de las lecturas es un capítulo de 88 páginas de un libro y estima que se lee en 45 minutos.

Sólo lo recomendaría a alguien que no esté acostumbrado a tratar datos o el módulo 3 a alguien que quiera iniciarse en una herramienta visual que no necesite codificación.

By Nanna V

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Feb 2, 2022

The course was conducted in such poor quality. So many typos, the instruction wasn't clear enough. The data provided and the data used in the quiz were unaligned. This course was like a mess. I'm so happy that I didn't pay for it.

By Benjamin P

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Feb 24, 2020

good course to get an overall introduction, but content is shown very fast and there is a lot of reading material.

By Evren T

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Sep 29, 2020

Everything more complicated, no one look at discussion forum