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Отзывы учащихся о курсе Exploratory Data Analysis With Python and Pandas от партнера Coursera Project Network

4.6
звезд
Оценки: 249
Рецензии: 56

О курсе

In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Лучшие рецензии

PG
11 февр. 2021 г.

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.

SA
3 дек. 2020 г.

Straight forward, easy to follow along and understand.\n\nGreat for someone who needs a refresher or a basic overview on Data Analysis with Python and Pandas

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1–25 из 55 отзывов о курсе Exploratory Data Analysis With Python and Pandas

автор: Anas A

17 окт. 2020 г.

It does not really deal with categorical data

автор: f_m

19 янв. 2021 г.

No ability to access the Jupyter Notebook once the course has ended (it says the session has ended). So what's the point?

автор: Suhaimi C

18 окт. 2020 г.

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.

автор: Pushpendu S

4 сент. 2020 г.

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 !!

автор: Poorva J

22 авг. 2020 г.

best

автор: Courtlin H

21 февр. 2021 г.

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.

автор: Asif M

8 мар. 2021 г.

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.

автор: Pragya M

19 дек. 2020 г.

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

автор: Silas A A

4 дек. 2020 г.

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

автор: Daniel M

3 сент. 2020 г.

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.

автор: Emmanuel S

5 нояб. 2020 г.

Excellent tutorial! It gave context to dealing with different datasets and not just the one we were working with.

автор: Dennis R

14 сент. 2020 г.

Awesome step by step instruction and explanation of each command and function used. Overall an excellent course.

автор: Lasal J

20 нояб. 2020 г.

This course is really interesting and well balanced. Kudos to the instructor. I recommend anyone to take it!!!!

автор: Amal P F

20 авг. 2020 г.

The content seems very easy to understand and pace at which it is taught is also wonderful.

автор: Anu S

3 окт. 2021 г.

Excellent project - course covers indepth details of data analysis. Instructor was great!

автор: Sebastian

11 окт. 2020 г.

Simple, Short and concise with proper explanations on EDA which are easy to understand.

автор: Edwar A H S

19 сент. 2020 г.

Muy útil este hands On para empezar a aplicar herramientas de

Exploratory Data Analysis

автор: Salih K

30 сент. 2020 г.

Simple yet very organized, and elegant Data Analysis project. I really liked it!

автор: 3ali M

4 февр. 2021 г.

The instructor covered well all the materials that listed in the course outline

автор: Stuart F

24 сент. 2020 г.

Top marks, I would do any courses with this tutor, it was really great. thanks

автор: m.ponmani

12 сент. 2020 г.

Great introduction for a newbie interested in data analyst career

автор: Marc L

26 апр. 2021 г.

This is a really good foundational course on EDA. Nicely done.

автор: Puspavathy R

23 дек. 2020 г.

Enjoyed the session. It was easy to follow and fun to learn

автор: 이진우

21 февр. 2021 г.

for this course, i can learn data analysis! thank you

автор: Faizal E

23 авг. 2020 г.

Loved the clarity with which the course was taught!