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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,616 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 regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge....

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.

SC

May 5, 2020

I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.

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2251 - 2275 of 2,912 Reviews for Data Analysis with Python

By Lim Y T

Apr 23, 2020

Great course. especially on the final assignment and as a new learner without any basic knowledge on python skill. it took me quite a while and challenge to get it complete.

By John T K

Jun 2, 2023

I really liked the course overall.

I expected a bit more depth in the final, but the class material was gold.

Best breakdown of the Chi2 I've come across, very easy to follow.

By Aaron Z

Jun 12, 2020

Would be a bit hard for someone who hasn't got a background with math and statistics knowledge. Not very much explanation. Also, not much interpreting for the methods used.

By Mark H

Feb 10, 2019

Pretty dry material. Hard topic to teach since the process really comes from experience. Could stand to focus a bit more on ways to explore and clean data. Not bad though.

By Setiadi S

Jul 21, 2020

The lab is good for learning, the quiz i think should be add more questions, too small, overall is ok for the beginner for learning the data analysis with Python, thanks.

By Omar G

Nov 6, 2023

very good course, it's getting harder in W5,6 and it was hard to understand, I think that the instructor could be more informative about topics discussed in these week .

By Or R

Aug 4, 2020

Good introduction to the things one can do with Python and Pandas, but overall fairly basic and does not require the students to actually program something of their own.

By Andrew B

Jan 25, 2019

Good for a first course in data analysis however this course covers the subject on a very superficial level. There are a few errors in the assignment's solution guide.

By Rahul S

Apr 10, 2019

Good but in the end of the course specially week 4 and week 5, speed of information providing in videos get to very high speed comparative to other weeks information.

By SAYONNIL B

Jun 24, 2020

For a Beginner data science ,the entire course is very helpful.Though some portion of the course needs more clarification about the topic,but overall I am satisfied

By Mix U T

May 15, 2020

The course provides a complete guide for beginners to start data analysis. but mostly it provides a rough overview of concepts so we need to learn in detail manually

By Krithin K V

Dec 2, 2019

Some of the topics at the end of the video have been rushed to end. I would rather liked to see an elaborate examples for those topics to atleast have an idea of it.

By LEONARDO R

Apr 8, 2020

185/5000

It requires more technical skills and knowledge in other areas not mentioned like python or IBM platform.

However this has done push me to learn more skills.

By Timothy B

May 8, 2020

I could have used a little more explanation when it came to Pipelines and Polynomials, but I figure there will likely be more of that to come in the later courses.

By Siddharth T

May 1, 2020

The course is a good start for beginners. The course contained everything useful form churning of data to regression. Pretty decent explanation with practice labs.

By Zwe Z O K

Jul 6, 2024

Good For Begineer approach to Data Analysis with Python .. Data Visualization with python is more understanding about visualization experience after this course .

By Jonathan P

Oct 18, 2022

Great coverage of fundamentals. Seems to be missing some content around diagnostic metrics for classification problems (e.g. binary class) using AUC/ROC curves.

By Ísis S C

Nov 21, 2020

The course is well organized and the content is presented is an accessible manner. Exercises could be more challenging and cumulative to help increase retention.

By Eliseo B F

Feb 11, 2020

Most of the course is very easy to understand, although the exercises in the notebook can become complex, the exercises do not always run and must be done again.

By Harshit T

Sep 22, 2018

Fun course! Lots of interesting content. It could've been more interesting and challenging with addition of a couple of marked assignments or a capstone project!

By Rebecca L

Jan 3, 2022

The course material is great enough for a beginner. However, some of the presentation method is confusing. The narrator also seems like a laymen for the course.

By Neil A

Jan 30, 2022

Great content, but awkward, untimely popping of questions during video lectures, very annoying. Labs are very useful and productive, but videos are too short.

By Shivam C

Jun 3, 2020

This Course was very informative and beneficial and conceptual too, being newbie i personally feel that this course has taught me alot. Thanks to team Coursera

By Sebastián M

Apr 22, 2020

Muy buen curso, por mejorar: varios errores en los talleres y también no fue posible ingresar a estos durante varios días lo cual atrasó el proceso de estudio.

By Osagie A

Dec 22, 2020

I love how engaging the course is with its labs and how it is well-packaged in such a manner that encourages beginners to learn... keep up the good work guys.