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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,518 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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2326 - 2350 of 2,896 Reviews for Data Analysis with Python

By vivek l

Jul 7, 2020

This is a tough course for beginners. So instead of playing a presentation they should look up for a good instructor.

By Prasanth K M

May 11, 2020

This is good to understand and plot the data using Python. Most of the course and test are revolve around statistics.

By Deemo

Jun 6, 2020

Good tool with little mistakes.

The quizzes are too easy

Hope can code the whole project not a part of the vital codes

By vineet r p

Mar 18, 2020

It's an amazing course but I think there should more theoretical information about Linear and Polynomial regression.

By Roberto M

Nov 17, 2019

The course is very interesting with a lot of detail but it doesn't but it is to short for all the matters it covers.

By Rafael M S

Jan 5, 2023

It is a very interesting course. You can learn more about statistics and how apply with Python and their libraries.

By DILEEP S

May 30, 2020

This course has really helped me boost my confidence levels in handing data with Python. Thanks for the instructor.

By Ronak P

Jun 27, 2024

It was a great course. It gives insight about how to clean the data , visualize the data and gain insight from it.

By JAVIER A P S

Oct 29, 2020

Muy acertado en los temas tratados, agregaron al final del curso los subtitulos en español por lo que se agradece.

By Collin C

Jan 6, 2020

Well organized topics with pretty sufficient instruction. The more advanced coding only got a cursory explanation.

By Marco S S

Nov 9, 2020

Very good course, it goes straight into the useful tools and concepts in regards to data analysis and prediction.

By Juan L S

Nov 20, 2018

I mean, it's super well prepared, but the scalation of topics seemd to be a it too quick, at least it was for me.

By Amit K S

Jun 27, 2020

The videos are bit faster. It would have been better if it was done by some real teacher rather than voice over.

By Harjit S G

Oct 25, 2019

use of names was a bit confusing at times compared to final assignment, but otherwise very helpful and enjoyable

By Jeremy G

Oct 12, 2020

This course should come after the Data Visualization with Python course in the Professional Certificate program

By Lida X

Jan 10, 2020

Maybe a bit too fast for those who are not familiar with various kinds of regressions...

Other parts are great!

By Cristina

May 29, 2018

Interesting course, but there are some moments when they give an interesting idea, but not the implementation.

By CAMILO A P Q

Jun 20, 2020

Good course, but it's too basic. I learned basics of pandas, scikitlearn, seaborn and other python libraries.

By Nikhil

May 14, 2020

High quality, concise content, well timed videos with pop up questions that ensures focus of the participant.

By Deepak P

May 18, 2019

The Content was really good but some topics are explained in very short.

But Thanks for this awesome course!

By Kerem B

Feb 3, 2020

The difficulty level of this course goes up very dramatically and it took me very long time to understand.

By Gabriel A

Jun 6, 2019

Best course in the specialization so far. An introduction to the statistical concepts could be beneficial.

By Praveen A

Jul 20, 2019

Very good introduction to data analysis. Some of the concepts mentioned here needs much more explanation.

By Mr. S

May 1, 2023

Really good course, just that sometimes it seems it takes in big steps which may provoke some confusion.

By FILPE R F

May 29, 2022

It was a good course. However, in my point wiew, it was necesserary exploring the Pandas and Numpy more.