Chevron Left
Back to Code Free Data Science

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

4.3
stars
207 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 fo...
...

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

JA

Oct 27, 2020

I like this course since it gives me an operational overview on what data science can do on a large data. How I wish there is an extension to this course. Thank you!

Filter by:

51 - 60 of 60 Reviews for Code Free Data Science

By Thas T

•

Jan 29, 2022

Overall this is a good course, but there are some places where it can be frustrating, whether it be lack of information, ambiguous questions, bad audio, etc.

By Nathapab J

•

Feb 28, 2022

something was missing like a clarified explanation of the methods and resources for the quiz is totally incompetence

By Thana U

•

Mar 13, 2022

Knime is the good way to better understand in Data Science

By Jeevan A

•

Nov 19, 2020

Very clearly explains the basics of using KNIME.

By Surya S

•

Jan 30, 2022

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

By kinshuk

•

Jun 16, 2021

it was a good and fun course

By ALBERTO C C

•

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 Raja S T N

•

Jun 6, 2024

There are several missing connections across many lecture videos. Some of the undiscussed Nodes of KNIME are directly used in follow up video making it difficult to follow the examples. Moreover, the demonstration of concepts felt more like just reading through the slides. things to improve: 1. always maintain same context or examples for demonstrating the concepts from video to video to help learner follow the concepts and practice 2. make the examples in the video available for download including the lecture slides 3. take it with moderate pace. Don't just read the text on slide. it might just loose the focus of the learner. somehow bring in interactive mode

By Benjamin P

•

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

•

Sep 29, 2020

Everything more complicated, no one look at discussion forum