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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,618 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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2376 - 2400 of 2,912 Reviews for Data Analysis with Python

By Viwan J

May 24, 2019

It is a good course but -1 star because many typos/errors/unclear tasks in the assignment submission.

By Aisha P

Jul 26, 2022

I am fully satisfied with this course.this course helhed me to enhance my skill just awesome course.

By Vicente C L F

Nov 18, 2019

Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.

By Stéphan D

Mar 6, 2022

Some technical problems with IBM watson while doing the course. Questions could be more difficult.

By Ivan L

Dec 9, 2021

Final Assignment is Ok, theory esp. some of the quizes subject for improvement (to make it perfect)

By Juan D M G

Jun 17, 2020

Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.

By Shrinidhi S

May 9, 2020

My assignments with the correct answers were only given partial marks.Pls do the need for the same.

By Daniel O V

May 6, 2020

I think it should have a higher level of difficulty, not so much more difficult but a little more.

By Fab T

Jan 30, 2019

Great! Still thinking in go back to review the details that maybe I missed.. But excellent course.

By Abdullah T A

Jan 18, 2022

The stuff in week 5 confused me a lot. but other than that it was great. especially lab sessions

By Reinhard H J

Oct 18, 2019

I learned some new things, but I think more attention should be given to the theoretical aspects.

By Nur C N

Jul 11, 2019

Too much information in one course, it's good but need to be put more example to make it clearer.

By Adrian A

Sep 5, 2022

Good background knowledge.

Assignment did not have a model answer script provided for peer review

By Umesh S

Jul 21, 2020

may be a course or module on statistics may be more helpful to get better insight of this course

By Fahad R

Jun 28, 2020

Very comprehensive course but it would be great to add some more material from basic statistics.

By Sajal J

Oct 19, 2019

Good for learning basics of data analysis using simplest explanation methods .HIGHLY RECOMMENDED

By Adam A

Feb 1, 2022

Peer Review Assignmnet is flawed - not all students assess properly and give incorrect marks.

By Letshabo M

Jul 20, 2021

This course has given me a good start up to analysing with python. Thank you IBM and Cousera.

By Puneet K U

Apr 12, 2020

Very well structured course, but it felt a bit easy. You can make it a bit more challenging!

By Manal C

Sep 10, 2019

Very condensed, and requires additional research for those without a programming background

By shaikh s

Sep 10, 2019

i think its a better way to learn python and will be eligible for job in any organization.

By Abdullah h

Oct 12, 2019

this course is so great but the last 2 section (week 4 and 5 needs some more explanation

By Sanskriti T

May 17, 2020

This course is great!!! I loved it and provides better understanding of data analytics

By Munir N

Oct 17, 2019

Again very good designed by IBM and Coursera. It was a bit tough but good for learning

By Rubén G

Apr 11, 2020

Please include more examples in the laboratories, for a better interpretation.

Thanks.