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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 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.

VS

Jan 30, 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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2501 - 2525 of 3,012 Reviews for Data Analysis with Python

By Abhishek k

Mar 31, 2024

Nice and Excellent content of data analysis which will be very beneficial .

By Shubhodeep M

Oct 22, 2021

It is a great first step towards learning data analysis. Highly recommended.

By Mohammad Q

Aug 21, 2019

Great but it has lots of information and require simple statical background

By Harsh B

May 31, 2025

videos could have been a bit more informative otherwise labs were very gud

By Saqlain H S

Oct 13, 2019

This course is very useful if you want to learn the field of data science.

By Adam C

Feb 14, 2021

Good course, Get's a bit tricky when it starts talking about regression.

By Coco

Jan 14, 2020

Quizs could be more practical. The part of explaining models is amazing!

By Manuel O

Aug 21, 2019

Learning may be more beneficially if we actually wrote most of the code.

By Kisha B

Jun 28, 2019

I took this course out of sequence, but it has been the best one so far!

By ZHANG B

Apr 22, 2019

The content in the lab is great! However, video courses are not so good.

By Raphael I

Apr 27, 2021

great course,

exam handling not learner friendly & not very challenging

By shiva m a

Aug 3, 2020

Awesome introduction to data analysis with python. Loved it absolutely!

By Moaz M

Oct 11, 2019

some topics have not been covered well like piplines , cross validation

By David O

Jul 26, 2020

The materials are well-organized, but there are many typos throughout.

By Angeliki M

Dec 2, 2019

A really good course. Probably the best so far in the IBM Certificate.

By Nanjun L

Jan 9, 2019

Would be better if more programming-oriented assignments are provided.

By Rahul P

May 12, 2020

Excellent course with detailed hands-on experience via lab exercises.

By Manas C

Mar 31, 2020

The course covers all the fundamental concepts needed for a beginner.

By Obong G

Feb 19, 2019

Though found the ending modules a bit challenging, its a great course

By Padraig M D

Jun 7, 2020

Quite a challenging course, but very rewarding. I really enjoyed it.

By Charles R

Jun 15, 2023

Probably needs a refresh based on current environments now present.

By mohsin a

Oct 17, 2020

Hands on Labs are awesome .They helped to consolidate my concepts .

By Rohit S P

Apr 25, 2019

Needed a more brief explanation on ridge regression and grid search

By Garimella B S

Apr 28, 2025

Good introductory course on Data Analysis. Hands-on labs are good.

By Ninad M K

Jul 14, 2020

It is a great course and it teaches me data analysis with python.