Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,462 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

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.

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.

Filter by:

176 - 200 of 2,886 Reviews for Data Analysis with Python

By Ramjan A

Dec 19, 2018

This is my first course that i completed, and i am very glad to do this .

thanking you for giving me this opportunity to enrolled this course

i learned a lot of new things from this course this was very fruitful for me.

the slides was nicely represented and the way of teaching was so amazing

i am very very thankful to all the Coursera Team

By Penchalaiah G

Aug 7, 2019

This course is very use for regression model end to end scratch of evaluation and easily understand the coding theory explanation but ridge regression is somewhat improvement is needed.

Finally, I suggested to this course for learning data analysis with python.

Thanks for wonder full opportunity to learn this course in course-era team...

By Yasir E

Oct 7, 2018

This course is probably the most concise and well explained course I have ever taken on the subject. Materials are explained very well, and in a concise manner. The only downside is that the assessment for this course is based on quizzes, which are way too easy. Nevertheless, the course contains ungraded labs which are really useful.

By Azhar S

Mar 2, 2022

Good course for beginners, kindly remove the project at the end of the course, make two projects one after completion of 50% of the course and the remaining after 75% of the course.

increase the questions that are mostly related to project, practical work, interview with more focus on the conceptual understanding, than on the syntax.

By Mihailo P

Apr 12, 2020

This is the most complex course in the IBM Data Specialization Curriculum until now. There is a lot to cover and I would advise the students to go through the notebooks for practice 2 times to make sure to remember everything. One thing that is a bit confusing are functions for creating plots as we did not cover them in details yet.

By Rohit B

Mar 16, 2020

Awesome course on gaining Python skills for performing structured data analyses. If you are already attending the IBM Data Science certification, this course is a "step up" from the initial courses to bring a lot of things together. I would highly recommend doing it in the recommended order, else the learning curve may be too steep.

By D E

Feb 2, 2020

Wow! Excellent course that provides a great skills-focused overview on how to do data analysis with Python. The videos are first-rate, high quality and summarize the essential points nicely. The data set is real and it is used throughout the course and that helps understand the different features of data analysis taught by pandas.

By Lee C

Jun 28, 2024

Very good, learn what I needed to. Make sure to do the python basics first or if you have pre-existing knowledge of the basics, that's fine too. Having some pre-existing knowledge of statistics would be very useful and I don't think the explanations are sufficient to fully understand the concepts, but are sufficient to use them.

By Paul C

Nov 5, 2022

The course content is pitched at the right level. I suggest that the presenters provide complete threads of code for the earlier videos since some learners may not have the background skills.

I had challenges with electricity so I had to keep restarting the labs and that aected my performance.

Overall a very empowering experience

By Helena R

May 1, 2022

Not that the course was over-challenging. A few ideas were better explained (Ridge Regression, Polynomial Models & pipelines). Would have preferred to have had access to slides rathan than the textual notes. Thought that the discussion forum was extremely helpful and the staff who responded earned their rightl. Congrats.

By Stuart S

Apr 2, 2020

Great introduction for using Python for data analysis. I found the segments on using Pandas, scikitlearn, and Matplotlib, particularly useful. Also, the labs' use of Jupyter notebooks, were excellent, because of the ability to introduce new variables or other data, and to see how it affects the outcome. Thank you very much!

By Dongre O

May 2, 2020

This course gave me very good understanding on basic concepts in Data Science and how we can make use of python. I would recommend this course to people who are searching for basics of data science. If you are from programmer then you will be able to correlate software development life cycle and Data Science Development.

By Mostafejur R

May 27, 2019

It was really helpful for me. Now i can clearly explain what is data. How we can explore data from a big data-set, How we can analyze different type of data-set. I am so much happy with this course. Now i will try to use this technique in my next steps. Special thanks Coursera community for creating this opportunity.

By David W

Sep 7, 2023

This is a good course with good instruction and labs that helped solidify my understanding of using Python and Jupyter Notebook to analyze data. I recommend it to others. Please note that there are a few areas where the libraries are out of date, but a quick google search should help you figure out how to fix it.

By Agu J I

Jun 23, 2022

This course is mind-blowing.

The structure and curriculum were topnotch. I enjoyed every bit of the process.

Although it was challenging at some points, the patter of tutorship made it easy to navigate.

I am very appreciative of the entire team that put up this course.

Thanks a lot for this great opportunity.

Regards.

By David A

Oct 16, 2019

Very useful analytical techniques were learned such as cleaning the data, multiple linear regression, and working with test and training data. This course gave me a good foundation on the approach to analyze large databases. I also feel this will help in learning R because I now know the analytical process.

By PEDADA S

Sep 10, 2023

It's a great course to learn the basic concepts of Data analysis with Python and thanks a lot to COURSERA .

there is a personal suggestion to coursera regarding to increase the syllabus in the modules if possible.

feeling glad for completing this course and eagerly waiting to do more like these, Thank You.

By Mayank S

Jun 12, 2021

Trust me! This is best course for beginners, This is how it should be taught. No previous coding experience needed, even mathematics used is explained clearly. Making notes will help you in future while writing codes. After this course, you can confidently move to other courses of IBM Data specialization.

By Юрий Д

May 9, 2022

Hello. Very cool course, designed not for beginners in python. Due to difficulties in translation, I had to additionally search for information on the Internet + take notes in Google documents. Sometimes you get very immersed in the ongoing process and forget about the time. Thanks to course developers.

By Aakanksha R

Sep 20, 2020

It is a really well-planned and informative course. The labs provided after every chapter are indeed a lot helpful to understand, recollect and visualize what we learnt during theory lectures. I would recommend this course to all as I found it helpful to improve my Data Analysis & Visualization skills.

By Sachin B

Nov 27, 2021

I always fascinated towards programming languages from university days as it makes the complicated work easier. as having basic cleared about python helps me to sail out through this course. all levels are thoroughly covered with proper scripts which make better understanding even for newcomers also.

By Mack S

Jun 20, 2022

Great course with helpful excersise. The only thing that needs to be looked into is peer review for projects. One of the peers rated my project 8 out of 18 and i was asked to re do but because i knew it was correct i just resubmitted without changing anything and 3 peers who reviewed gave me 17/18

By Meenakshi S A

Nov 20, 2019

It was a very interesting and correctly paced course for learning Data Analysis with Python. The course content and the assignments were very helpful in understanding the course well. Will recommend this course to all who want to do a well paced introductory course on Data Analytics using Python

By Md. R H

Sep 22, 2019

This course is outstanding valuable for the beginners who wants to build their career as data analysist. I have learned a lots of valuable statistical and progrmming for data analysis. Thanks to all instructor to give us such a opportunity to learn such kind of code and method for data analysis.

By Marta F d O F d N N

Jun 2, 2020

This was a great introductory course to statistical modeling with Python. I learned a lot of the basic methods to perform linear regression models and to describe statistical variables. The final assignment was slightly challenging, but doable if you follow the labs. All and all a great course!