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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,786 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 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 2,945 Reviews for Data Analysis with Python

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 Elijah

May 30, 2021

This course could not be much greater. I enjoyed every bit of it and learnt so much. Thanks IBM for such a wonderful course.

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!

By BIBHUTI B B

Nov 9, 2022

It was very helpful for clearing my fundamentals. Coursera helped me to get the course for free and I am thankful for that.

By Amol G

May 14, 2020

very good course and i have learn lot of skill of data science from this course

also it contain very good project at last .

By Lakshminarayana D

Sep 27, 2019

Its was a great learning experience working with model fitting, different methods and different data visual representation.

By Jeevan P

Jun 6, 2020

Nice course with lot of content. It would be nice if extra content is provided to learn about some of the topics in depth.

By Jonathan T ( T

May 2, 2020

Pretty cool course, I really appreciate the material in here, i learned a lot about data analysis in here. Awesome Thanks!

By Johann D J O H

Feb 21, 2020

Is a great course and you can learn some functions to develop models to predict results. All with the big python language

By Kang R K

Sep 29, 2019

The fastest way to learn Python's famous libraries such as pandas, numpy, scikit-learn, and etc, as tools of data science.