Avis et commentaires pour d'étudiants pour Exploratory Data Analysis With Python and Pandas par Coursera Project Network
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Meilleurs avis
All the explanations were very clear and well explained. This was an excellent course! Please continue building up on this series and move to basic machine learning algorithms using regression.
Amazing course. Full concept coverage with easy to understand codes. I do not think i will have to look at any other material to get EDA done for my projects
1 - 25 sur 55 Avis pour Exploratory Data Analysis With Python and Pandas
par Anas A
•It does not really deal with categorical data
par f_m
•No ability to access the Jupyter Notebook once the course has ended (it says the session has ended). So what's the point?
par Suhaimi C
•This guided project is one of the best I have learned so far. Bassim is an awesome instructors. He gave lots of insights about exploratory data analysis with Python and pandas. Great tips and tricks. Easily to understand and follow. Highly recommend this guided project to get you started in python programming using pandas, numpy and seaborn libraries.
par Pushpendu S
•Thanks for such a beautiful introduction to Pandas. I have taken other introductory courses but this takes the cake. Apart from teaching Pandas and Seaborn, it builds up gradually and lays out a path for practical EDA. Kudos for a heck of a course !!
par Poorva J
•best
par Courtlin H
•Nice introduction to the topic of EDA with Python. Just long enough to cover the basic in 1-2 hours. I'll keep the course notebook for reference in future EDA work. I would like to see an intermediate and advanced course on the same topic from this instructor.
par Asif M
•This course was useful in at least two ways, firstly- the quick hands on learning and practice of pandas, seaborn and matplotlib, and secondly- got an idea of what basic data exploration/visualizations are usually performed.
par Pragya M
•Amazing course. Full concept coverage with easy to understand codes. I do not think i will have to look at any other material to get EDA done for my projects
par Silas A A
•Straight forward, easy to follow along and understand.
Great for someone who needs a refresher or a basic overview on Data Analysis with Python and Pandas
par Daniel M L
•This was an amazing course! In all honesty I didn't expect to learn this much from a 2-hour project, but Bassim proved me wrong! This was great.
par Emmanuel S
•Excellent tutorial! It gave context to dealing with different datasets and not just the one we were working with.
par Dennis R
•Awesome step by step instruction and explanation of each command and function used. Overall an excellent course.
par Lasal J
•This course is really interesting and well balanced. Kudos to the instructor. I recommend anyone to take it!!!!
par Amal P F
•The content seems very easy to understand and pace at which it is taught is also wonderful.
par Anu S
•Excellent project - course covers indepth details of data analysis. Instructor was great!
par Sebastian
•Simple, Short and concise with proper explanations on EDA which are easy to understand.
par Edwar A H S
•Muy útil este hands On para empezar a aplicar herramientas de
Exploratory Data Analysis
par Salih K
•Simple yet very organized, and elegant Data Analysis project. I really liked it!
par 3ali M
•The instructor covered well all the materials that listed in the course outline
par Stuart F
•Top marks, I would do any courses with this tutor, it was really great. thanks
par m.ponmani
•Great introduction for a newbie interested in data analyst career
par Marc L
•This is a really good foundational course on EDA. Nicely done.
par Puspavathy R
•Enjoyed the session. It was easy to follow and fun to learn
par 이진우
•for this course, i can learn data analysis! thank you
par Faizal E
•Loved the clarity with which the course was taught!
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