Chevron Left
Back to Basic Data Processing and Visualization

Learner Reviews & Feedback for Basic Data Processing and Visualization by University of California San Diego

4.3
stars
198 ratings

About the Course

This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. This course will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization....

Top reviews

PA

Jun 29, 2022

Great content. When you apply yourself to this course , there's no "dirty" data you can't handle.

AC

Mar 4, 2021

Really nice. Learnt a lot ! Thanks to the faculties and UC San Diego.

Filter by:

51 - 58 of 58 Reviews for Basic Data Processing and Visualization

By Kotronis A

Nov 30, 2019

very subjective assignments

By Olivia Z

Nov 3, 2020

The notes are not very clear and no body is answering the students' questions.

By Luiz V K M

Apr 4, 2020

it's not a intermediate level course, it's a really basic one

By Davide C

Jun 18, 2019

The test scripts make no sense.

By Zihaohan S

Sep 27, 2021

not very user-friendly. why they cannot link the data set directly? I find asking users to download the files are annoying and totally unnecessary.

By Lucas O

May 15, 2020

No clear instruction on how to download datasets. If we can't download the dataset, how are we suppose to proceed with the class.

By Matthias K

Sep 14, 2020

I need to unenroll as I did not apply FA

By Peter M

Aug 23, 2020

awful, don't waste your money