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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,841 ratings

About the Course

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis
with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing &
formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating
data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and
create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial...
...

Top reviews

RP

Apr 19, 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

UA

Jul 28, 2020

AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.

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2826 - 2850 of 2,956 Reviews for Data Analysis with Python

By Sachin L

Sep 26, 2019

More examples and detailed explanation

By Nilanjana

Jul 12, 2019

More examples and code examples needed

By Hamed A

Apr 8, 2019

The course needs a final assignment!

By Rosaura R d H

Jan 21, 2025

el contenido no se traduce muy bien

By Reza B

Oct 19, 2024

Not enough depth and using only csv

By Boris S

Oct 5, 2024

The final exam has broken questions

By piyush d

Dec 6, 2019

exercises could have been better.

By Jyoti M

Mar 26, 2020

I felt it was too fast to grasp.

By Baptiste M

Nov 2, 2019

Final assignment is quite messy

By Murat A

Apr 21, 2021

could not access the labs.

By Yuanyuan J

Jan 17, 2019

Not clear on the last part

By Ahmad H

Jun 8, 2019

This course is very tough

By conan s

Dec 20, 2019

Lots of technical issues

By David V R

Jun 17, 2019

Exams should be harder

By Riddhima S

Jul 8, 2019

la lala la la laa aaa

By Daniel S

Feb 8, 2019

Not easy to follow.

By Diego F C I

Sep 7, 2024

Videos en Español

By Allan G G

May 10, 2022

Muy poco practico

By thibauly t

Sep 27, 2021

très bon cours

By Vidya R

Apr 16, 2019

Very Math!

By Alagu S

Nov 13, 2024

GOOD

By SAGAR C

Apr 22, 2023

good

By Ulrich S

Feb 13, 2025

The whole training is a bit messy. For example, it offers two different versions for the jupyter-notebook in the final lesson. And the code in this notebook is even buggy (Invalid datatype). The most terrible thing about it is that the Peer Review Process for the final lesson is broken! It asked me to review my own solutions. They were presented to me as if somebody else had submitted it. Furthermore, I was asked to review the solution of a totally different course! Also, in the final exam, some of the questions have ambiguous answer options. (Polynomial Regression is a form of Multilinear Regression, numpy definitely contains algorithms as well, square-root error is in fact a suitable measure for comparing the performance of two models with different order, ...) What also bugged me was the fact that the voice of the training videos was not spoken by a human. It really makes you feel worthless, when you are teached by a computer voice. I still give 2 stars, as I really did learn something on this course.

By James H

Apr 29, 2020

Definitely not one of my favorite courses in the Data Science Certificate series. There were times I was ready to give up the pursuit of the certificate altogether during this class... There should have been a prerequisite for this course of the statistical tools and methods that would be covered in here... Sure I could program these things after this class, but i still dont understand why I would choose to use one over another? This is one of those classes where you walk away feeling more confused than when you went in... Also there were a lot of mistakes, typos, and obsolete things in the labwork - some reported and acknowledged months ago, but still not fixed in the lab (video I can understand, but not the labs)

By Ruben W

Oct 6, 2018

The content is good, but if you are not familiar with Python, I wouldn´t recommend this course. There are a lot of typos in the video. The code contains a lot of errors where you have to find a solution. So, you are forced to debug their code often.

But if you are only interested in the course certificate, you could quickly go through the videos and quizzes, without any problems. It's easy to pass because the questions are like: What is the result of print("Hello world"). So no real challenges at all.

Please, try to fix the typos. Sometimes it was very embarrassing. Example (Week 3) instead of

"from sklearn.metrics ..." the video comes up with "from sklearn.metrixs ..."