Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,235 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

LM

Invalid date

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

AA

Invalid date

Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course.

I appreciate the coordinators in making it possible. Thank you.

Filter by:

2776 - 2800 of 2,855 Reviews for Data Analysis with Python

By Joe W

Jan 19, 2021

This course is not for anyone without pre-existing knowledge of statistics and basic python. Although I made it through the course, I ended without feeling confident I could apply any of the learnings on my own. Other more interactive coding courses I have taken have proven far more useful that this one.

By Rashmi S

Feb 14, 2021

Concepts were not explained in detail. Exercises were also very easy. Overall it was not enough for people who're looking to learn the concepts in depth and apply them to some real-world problems. Since it's a paid course expectation was to learn something substantial from it, but I'm disappointed.

By Amiee E

Mar 15, 2020

The course itself 5 star. But because the lab experience is so terrible, I minus 3 stars. Please fix or remove Cognitiveclass completely from future courses, it delays my learning and interrupt my focus on the subject, there are 3 more courses to go and I can only expect more bad lab experience.

By Martin V

Sep 5, 2020

A lot of inconsistency and errors of the code in the videos presented. Expected a better quality for a course from IBM tbh. Also the assignment does not leave any room for creativity ut is merely a "code-along" exercise which does not require a lot of thinking...

By Seth C

Mar 16, 2024

Instructors seemed more like customer service reps than teachers. Their limited knowledge was a real drawback. The listed instructor does not teach this course. There really was no good information once the course hit pipelines and hyperparameters.

By Karthik S

Jul 13, 2018

This course let me down. The crux of real-world is in analysis and in this course the author, IMHO, didn't do justice in explaining the concepts, the why are things done the way they are clearly; instead the author opted to breeze through things.

By Tiago M d C D

Dec 5, 2022

I can't reset my deadlines!! Why don't you send an email when the deadline is due soon?? Why does it seem like the course has no real support real time? Why is it so hard to get the IBM tools working? So many things are going wrong with this...

By Alistair J W

Nov 17, 2018

There were numerous issues with editing of the content in this course that certainly impacted its effectiveness. While that is not uncommon the forums indicated that these had been identified by other learners months ago and not addressed.

By Mattia S

Mar 19, 2024

It's a very good course that I would recommend. My 2/5 rating is due to the difficult to use the coding notebooks: I often had to switch to Anaconda in my laptop, and I think it should be fixed. Apart from this, it's a 4/5 rating for me.

By ubaid m w

Oct 22, 2018

In lab there are many funtion , libiraries Which have been used first time with out any description , then I have to search for each and every funtion or lib which is way time consuming which make this course worst courses in my list.

By jitao f

May 2, 2019

The content of this course is too basic. Though it provides enough knowledge to start a practice. No 0 to 1 but more like 0 to 0.1. And Forum support is terrible. Can't really answer my question( don't even think they have read it ).

By Zac M

Oct 29, 2019

The topics are great, but the content is pretty terrible. The questions are incorrectly formatted and hard to understand. It would be nice if someone reviewed these before they make them live and you have to pay for them.

By Brahmrysti A B

Jun 2, 2020

A lot of mistakes here. Clearly rushed and not given the care and attention it needed. Some assignments REQUIRE you to go to the discussion board to figure out what the author intended and why your code isnt working.

By Ashish D

Dec 22, 2019

Does the job of a good introduction.

Very limited and restrictive practice and assinments.

For a true learning experience one needs to do a lot of external research and work to show a measureable benifit.

By Steve H

May 19, 2020

The content is good but there are a lot of mistakes and typos in the material. The peer review is extremely vulnerable to errors - only one person reviewed my assignment and gave me the wrong mark.

By D W

Aug 17, 2019

Useful course but riddled with typos & inconsistent questions and answers. Needs a proper review by someone (probably not the people answering on the forums, who didn't seem especially clued up).

By Aaron C

Jul 15, 2020

The videos really are not very engaging (relative to any other course that I have completed here on Coursera). The concepts are not explained very thoroughly. Thanks anyway guys.

By Berkay T

Sep 27, 2019

Too much content, so less practice. This course doesn't teach anything that you can make use of in the long term. It only gives an idea on what you have to work on in the future.

By Sheen D

Aug 11, 2019

This is by far the worst course in the specialization. So many mistakes in the lab session, including unclear instruction, or syntax is not uniform across each module, and etc.

By Cláudia S B

Jul 16, 2021

The artificial voice used over the video is truly awful for learning. I enjoyed the jupyter notebooks where I actually could learn what was bla-bla-blaed in the videos

By Michael M

Dec 20, 2019

The IBM Developer Skills Network (at labs.cognitiveclass.ai) is very slow and doesn't work most of the time.

It doesn't allow to finish the course properly.

By Ismael S

Jun 2, 2019

Content is thrown to the student with too much information and videos of only 3-4 minutes. Too much to absorb and too little to practice properly

By David K

Apr 28, 2020

Too many errors. Please renew the course asap for the future learners. These errers are distracting and make the learning experience less fun.

By Archana B

Apr 28, 2021

Model Development and Model Evaluation & Refinement Concepts are not explained properly neither in Videos nor in Lab!!Really disappointing :(

By Tarun S

Mar 10, 2021

Concepts of the algorithms are unclear. In the notebooks as well, it is not in a flow. Very confusingg for a beginner to learn from this.