Good Intro part for pandas. The homework part is more difficult than the materials. Materials could have been more organized.

You need kind of basics about programming, Further, the activities you need a lot of self research to clarify the statements

Course itself really good, assignments rather boring, specially the repetition and the manual cleaning/checking of the data.

This is an intro class but it feels like Data Science 5000. Be prepared for long nights, but I feel there will be a payoff.

Takes some more time than it is said in the course. I didn't have any experience in Python so that is probably the reason.

it was really good and challenging and of course it made me feel like i'm solving a problem for a job or a life experience

A very good course for any aspiring data scientist to improve their data wrangling and pre-processing skills using Python.

The Video content is not satisfactory. The content must be improved. It does cover only the edge. This should be enriched.

Curso muito bom e esclarecedor, apenas as atividades a serem desenvolvidas que são um pouco mal apresentadas ao estudante.

Good course - requires a lot of self-learning, but that's not a huge problem. I think we could use a little more support.

The course assignments were very helpful in understanding the concepts better while encouraging the students to self-learn

The assignment is useful, however, the grading does not give much information on the submission except the points awarded.

This course will be a great start for people to know about data science with python and get familiar with few simple data.

The material seemed a bit hurried at times..but overall a great learning experience and the assignments were truly helpful

First, classes give you knowledge about topics. Then,

challenging

assignments come which encourages you to learn more.

In my opinion, the assignments problems could be more clearily explained, I think it could be improved for next sessions.

I. (eg wasting 30mins on df.pivot() vs df.pivot_table()!)Think my next course will be more intermediate level in python.

The videos could have been more Assignment friendly, as the assignments were tough to crack after seeing just the basics

The assignments and the projects touched upon not just the basics. The video lectures could've been a bit more detailed.

The pace of the course is fast, need quite a bit of python experience and a lot of study outside of the course material.

First two weeks are great. The third week becomes a bit disporportionately difficult. The autograder is very inflexible.

Good course, going a bit fast on certain aspects but good use of Jupyter and interesting coursework, challenging enough.

Difficult, but do-able. Recommend having a strong baseline understanding of Python + Jupyter Notebooks before starting.

I have gained much knowledge of the pandas library from this course.I will forever be grateful to Dr.Christopher Brooks

This course was very much fast paced.This course is not for beginners but for people who wants to refresh there topics.