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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,110 ratings

About the Course

Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, you’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement....

Top reviews

RP

Apr 20, 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.

VS

Jan 31, 2022

This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

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501 - 525 of 3,012 Reviews for Data Analysis with Python

By Peter G

May 29, 2019

Challenging, but very rewarding course with code that will help you with all your data science endeavors down the road. Thank you!

By guanyu w

Aug 8, 2020

super helpful this course i love the labs and also i found the professors of this course replied quickly about students questions

By Abhijit S

Feb 29, 2020

Very good for beginner. Explained at right pace and lab course and test ensures you understand the steps while able to reproduce.

By Rose C

Apr 19, 2019

I really like the last 4th and 5th sections for data model creation, analysis, evaluation and refinement. Very enjoy this course!

By Carlos A V S

May 26, 2022

Excelente curso. Muy bien explicado y conciso. Las evaluaciones son muy practicas y conceptuales. Me gusto mucho la metodología.

By Sahibjot S

Aug 8, 2021

I would recommend this course to the beginners in data science. This course explains very well how to analyze data using python.

By Ravi P

Apr 7, 2021

Would appreciate the team for a well designed course, which was easy to understand, and practical to apply the knowledge learnt!

By Annissa Z

Sep 11, 2020

This course is simple though practical to the real problem. It harnesses my fundamental skills on data analysis with practices.

By Shiv k

Jun 8, 2020

It was very informative and data analysis is explained from basic to high and the explanation of each and every topic was clear.

By Robert A

Aug 29, 2021

Great learning experience. A challenge that had me go back and review the material several times, and improve on my learning.

By ACHAL P

May 13, 2020

This course is really useful for those who exactly wants to know how data visualize and normalize and how we predict the data .

By Periklis K

Jan 2, 2020

This course is an essential fist step that you should follow if you want to get a good and thorough introduction on this topic!

By Alfonso P

Aug 22, 2019

Excellent Course, develops data Scientist skills associated with the methodology associated with the Data Science Certification

By AKHILESH Y

Apr 7, 2024

Excellent course with practical assignments and clear explanations, greatly enhancing understanding of data analysis concepts.

By Mayank S

Jun 4, 2020

This course has been very helpful for me. I've learned so much in this course. Thank you to the team for making this worth it.

By Kadir Y

Feb 13, 2023

hard to learn from scratch if you are a beginner but perfect to recap what you've learnt and can't get completely understood.

By Sze M C

Oct 22, 2021

awesome content, a quick summary for the pros, cons, purpose and comparison between the 3 main topics will help comprehension

By Samuel K N

Aug 23, 2021

This course is a little more specific coding wise, great to learn some of the principles behind model creation and analysis.

By Sagea T

Jul 31, 2018

It is a very challenging course, I would've like a course project to practice and utilize all the skills taught in the course

By Sergio E A G

Mar 28, 2024

Superb!! It structure is by far the best. Furthermore it is well explain and with enough labs to practice the new knowledge.

By Ritika B

Feb 11, 2022

Beginner Friendly course. Helpful in the terms of simple concepts of Data Analysis. Good course to get started in the field.

By Nick

Jun 3, 2019

There are some important concepts covered (hyperparameters, training data), the visuals are good, but the tests are too easy

By Elisa B

Jan 31, 2025

This has been the most difficult course so far, and I really like it. It is amazing how many things can be done with Python

By Ignacio F

Feb 23, 2023

This course provides you with the python code used for conducting regression analysis and visualizing results. Nice course!