Chevron Left
Volver a Code Free Data Science

Opiniones y comentarios de aprendices correspondientes a Code Free Data Science por parte de Universidad de California en San Diego

4.3
estrellas
170 calificaciones

Acerca del Curso

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...

Principales reseñas

NM

22 de mar. de 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

21 de jul. de 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!

Filtrar por:

51 - 54 de 54 revisiones para Code Free Data Science

por Nanna V

2 de feb. de 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.

por Benjamin P

24 de feb. de 2020

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

por Susanna P

3 de mar. de 2022

This course is missing a lot of information necessary to complete it. Some of the videos are low quality and the audio cuts off in some parts. In week 3 there is a whole explanation missing. This is not a good course for beginners. I had to look up a lot of stuff on Google. Thank goodness for the discussion forum.

por Evren T

29 de sep. de 2020

Everything more complicated, no one look at discussion forum