buen curso

very good

excelent

awesome

nice

GOOD

Good

ok

ok

.

Me gustó la experiencia práctica y el proceso de desarrollar un ejercicio sencillo de minería de datos desde la importación de los datos hasta la presentación de gráficos de manera autónoma. Lo que no me gustó fué que en la 4ta semana la mayoría del contenido eran links a otro curso de Tableau, lo cual le resta valor agregado a este curso. Por otro lado, no es necesario saber python para hacer las tareas pero el 80% del contenido de las clases son en python. Aún así aprendí varias cosas en el proceso y pude aplicar la librería Scikit-learn para hacer unas regresiones con los datos proveídos.

The course is supposed to evaluate SQL skills but unwillingly the learners have to use a lot of their Python skills. That would be my only complain.

Some support is missing, and they should also enable sending pdfs on all deliveries (every week)

It was good well structured course.

I improve my skils

An Awesome Subject

I enjoyed the experience although I had the impression that the instructor explained things like he would explain it to one of his peers, and not a complete beginner in SQL or statistics. Also, I didn't like how he started using Python out of the blue and expected us to know what he was talking about. All in all, it opened my eyes to many new opportunities in the big data industry.

El curso se siente algo desconectado de los anteriores, ya que introduce python, y en lugar de explicarlo, muestra ejemplos directos.

El curso debe salir en español urgente, buen curso

Examples went over mostly Python (pandas library). Wouldn't recommend taking this seperately unless have previous experience in Python

Good luck getting the peer reviews needed to complete the course.

This capstone project is run either on Python / Scala or R. It has almost nothing to do with SQL by itself. You can run it in provided Jupyter notebook sandbox OR on your local machine (technically, you can avoid using SQL in total :D, but can also create SQLite DB localy from the datasets... Provided videos are absolutely not useful, as they show text processing in Python. 3 datasets are provided for capstone, to in .csv file (easy to import anywhere) and once in .json (difficult). Do not enroll if you don't have sufficient skills in statistical programming languages On the other side, the provided datasets allow for some interesting inferential analysis.

I selected the Lobbyists4America dataset. Not to mention, Don demonstrated how to prepare data for analysis using Python, which was not covered in this course and was not a prerequisite. Okay, I skipped these videos.

I imported a tar.gz file into Databricks, but it is unable to build a proper table because the only file formats supported are csv and json. Nobody described how to unpack the tar.gz file into the database environment. Don't tell me to unpack locally and upload it (the unpacked file is 1.6Tb!).

This course if okay itself, but there are a lot of people tyring to plagiarize by submitting empty assignment so that they can go into the review process to have a peak into other people's work. And also the submission for assignment is just very bad, because it does not allow you to submit attachments in the last three assignments, which are actually more crucial. The course leader need to do hard work to rethink the setting of this course.