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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,833 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...
...

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.

UA

Jul 28, 2020

AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.

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751 - 775 of 2,952 Reviews for Data Analysis with Python

By Akhilesh P

Jan 12, 2022

It was best experience for me to read,understand and work on python.

thankyou

radhe radhe

By Keith L B

Aug 13, 2021

Very challenging especially having to write the code yourself for the capstone project.

By Saurav K

May 29, 2020

IT is really a wonderful course for those who want to learn data analysis with python.

By Mercy A

Feb 4, 2020

quite insightful,liked the quizzes and the assignment. learned a good number of skills.

By Mo R

Nov 18, 2019

Good course for analyzing datasets with Python using visualization and analytics tools.

By Partha S D

Feb 23, 2019

Please share the slides with us. the videos are informative and labs are very detailed.

By Alish S

Jan 7, 2024

Excellent Course for Data science Analyst and Statistics lovers would love the course

By Reginald V

Sep 29, 2022

Course is great and teaches students with many practical techniques for Data Analysis

By MORUFU B

Sep 19, 2021

This is very interesting, detailed and practical. it is also very challenging, though.

By BOMMAKANTI A

Apr 11, 2021

exceptionally good teaching. I think with this I've filled gaps in data pre processing

By Mohammad Z

Sep 8, 2020

A very well explained course with a lot of hands on practice with quizzes and lab work

By Bobby J W

Apr 30, 2020

This course was challenging and a great course to prepare us for the capstone project.

By Eden P

Feb 7, 2020

A lot more challenging than the other courses I've taken on the subject. Learnt a lot.

By ankit k

Sep 1, 2019

THERE ARE SO MANY THINGS I LEARNED FROM THIS COURSE AND IT WAS VERY BENEFICIAL FOR MR

By Juan S R G

Jul 30, 2023

I learn a lot of python and the data analysis that I can apply in my job Thanksss!!!!

By Laura M A D

Feb 7, 2022

It is a very complete and well structured course, with real life practice exercises.

By Mia

Jun 22, 2021

You can understand easily, you can practice with the notebook provided by the course.

By Temi O

Oct 27, 2020

Really puts your coding to the test with Data modeling! Challenging but doable course

By Ogbonnaya O

Jul 27, 2020

I love this course, it sequential. Now i have a foundation towards my tinyML journey

By OUMZIL Z

Apr 21, 2020

Très bonne formation pour les motivés souhaitant débuter leurs carrières dans la data

By Ramiro B

Feb 25, 2020

Knowledge was amazing and fun. These contents are ready to use in real-life problems.

By Prosper O P

Feb 18, 2020

I enjoyed it and learned a lot of new skills from this. Worth every minute and penny.

By Barış B

Aug 14, 2019

Very clear presentation, highly pedagogical. Thanks for the efforts for preparing it.

By sergey k

Feb 14, 2019

imho, this course must include final assignment to improve modeling skills in python.

By Muhammad I K

Sep 30, 2021

Awesome content. I learnt a lot from this amazing course. Thank you Coursera and IBM