The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
автор: Duvert P•
You need kind of basics about programming, Further, the activities you need a lot of self research to clarify the statements
автор: jordanno p•
Course itself really good, assignments rather boring, specially the repetition and the manual cleaning/checking of the data.
автор: Matthew H•
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.
автор: Guido L•
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.
автор: Moustafa S•
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
автор: sunit j•
A very good course for any aspiring data scientist to improve their data wrangling and pre-processing skills using Python.
автор: Saurav K•
The Video content is not satisfactory. The content must be improved. It does cover only the edge. This should be enriched.
автор: Tiago F M•
Curso muito bom e esclarecedor, apenas as atividades a serem desenvolvidas que são um pouco mal apresentadas ao estudante.
автор: Zaks L•
Good course - requires a lot of self-learning, but that's not a huge problem. I think we could use a little more support.
автор: Vaishnavi C•
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.
автор: Nico A•
This course will be a great start for people to know about data science with python and get familiar with few simple data.
автор: Rahul S•
The material seemed a bit hurried at times..but overall a great learning experience and the assignments were truly helpful
автор: Ozgun S•
First, classes give you knowledge about topics. Then,
assignments come which encourages you to learn more.
автор: Rômulo M R•
In my opinion, the assignments problems could be more clearily explained, I think it could be improved for next sessions.
автор: JAI K•
The videos could have been more Assignment friendly, as the assignments were tough to crack after seeing just the basics
автор: Akshay S•
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.
автор: Youdinghuan C•
First two weeks are great. The third week becomes a bit disporportionately difficult. The autograder is very inflexible.
автор: Geoffroy D•
Good course, going a bit fast on certain aspects but good use of Jupyter and interesting coursework, challenging enough.
автор: Charles K•
Difficult, but do-able. Recommend having a strong baseline understanding of Python + Jupyter Notebooks before starting.
автор: Varun C•
I have gained much knowledge of the pandas library from this course.I will forever be grateful to Dr.Christopher Brooks
автор: MUHAMMAD R S•
This course was very much fast paced.This course is not for beginners but for people who wants to refresh there topics.
автор: NITHIN M•
Amazing course the basic fundamentals and overview idea of the data science using python is covered in this course.....
автор: Gerardo d l O•
Great material, but the lectures go extremely fast and have no external notes. The last assignment is way out of scope.