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Voltar para Data Analysis with Python

Comentários e feedback de alunos de Data Analysis with Python da instituição IBM

3,166 classificações
415 avaliações

Sobre o curso

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Melhores avaliações


Apr 20, 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.


Jul 13, 2018

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

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1 — 25 de {totalReviews} Avaliações para o Data Analysis with Python

por Guy P

Dec 06, 2018

So many mistakes in videos and labs, including spelling errors, misnaming functions and code that causes errors.

These have been listed extensively in the course discussion forums, with some complaints from over 6 months ago, and have not been addressed

por Amy P

May 19, 2019

I am working through the IBM Data Science Certificate courses (in order) and this is easily the best one I have taken so far. Once again, the labs provide a variety of hands-on exercises that help to cement the topics introduced in the lectures (which, to be fair, are very fast-paced). Everything taught is practical and relevant. One request would be to fix the pacing of the videos and lecture quizzes, which often appear to test students' comprehension mere seconds after the topic was discussed! I did also notice a few errors in the labs, but they did not stop me from learning the material. Overall, great course.

por Alexandr D

Oct 17, 2018

Very low quality of the course. The structure of the course is illogical. Also it takes too little effort to accomplish the course. In the beginning of th course labs contain all the code so a pupil doesn't have to do his/her best to solve tasks. I can just constantly press ctrl+enter and get my certificates. It is not what I expected from the course. Also quizes never contain coding practice, so to accomplish I just need to show the understanding of the basic aspects of the topic, not the coding skills. The, at the end of the course (after I have lost all the motivation during the first weeks you give us difficult function, including custom functions, never explaining them at all). Have a huge doubt about buying the subscribe for the next month.

por Karen B

May 26, 2019

Does an excellent job in providing the Python commands needed to do data analysis, along with some descriptions of what the steps actually involve. Has quite a few typos and minor issues -- looks a little sloppy.

por Oana M

May 22, 2019

Thank you so much! - Oana

por ashirwad s

May 22, 2019

Recommended course to understand the how to do data analysis using python

por Aditya M

May 21, 2019

Overall apt content for beginners and naive learners.

por Jim C

May 20, 2019

Well organized, good explanations, and very good labs.

por Vineet M N D

May 20, 2019

Great experience

por Sampras G

May 19, 2019

best course for beginners

por Firat G

May 18, 2019

A seriouse deal of statistical modelling taught with a perfect content. I really appricate the effort put in order to not being "hard-to-understand", but still finding the way to teach complex statistics. You will have a very good useful knowledge of statistical modelling without getting lost through too many greek symbols and long explanations.

por Aditya J

May 18, 2019


por Rohit P

Apr 20, 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.

por Maksim M

Apr 18, 2019

Very serious, professional, empowering course. Clear straightforward detailed explanations. A good deal of practice.

por Daniel T

Apr 09, 2019

This was a great review of stuff math I learned in high school and college. Of course it's all easy now because it's baked into Python. We used to do it by hand and with slide rules back in the early 1970s

por Uygar H

Mar 14, 2019

I have really learned many things in this course which are meaningful and helpful in real life. It is not just lines and numbers , it is exciting how you can apply these methods to find solutions in your real life problems. Combined with strong Python skills , you will enjoy more..Thank you

por Florian P

Dec 11, 2018

Decent introduction to basic concepts of data analysis. However, the 'labs' and quizzes feel insufficient to practice the theoretical aspects. Further on the downside, the quality of the material in this course is quite poor. Even worse, several months after learners mention errors in the discussion forums (and partly get an instructor response), the mistakes remain in the material.

por Prakash C

Jun 06, 2019

Great course. I had fun having a kick start in the field of data in machine learning. I understood the concepts related to how to improve the model.

Thank you

por Ted H

Jun 06, 2019

Covers a lot of ground but the Python Labs are great at bringing everything together.

por Firat E

Jun 04, 2019

It is really a good course, simple to understand and very complete. Thank you !

por Paulo B M d S

Jun 04, 2019

A very complete course of Data Analysis.

por Luis H

Jun 04, 2019

I liked so much that I solve more short test because it helps me to remember information easily and guess it allowed me to perform better. It's the first time I get 100% three times in final tests of each week.

por Siddhartha S

Jun 04, 2019

Great Course. Amazing Work By the team. Concepts explained clearly, followed by the week end quiz to revise. The Labs Do a great work in helping out

por Theodore G

May 19, 2019

This needs to go much more in depth on the options for analysis, and provide more examples.

In addition, the labs and final exams were not fully completed/corrected/reviewed, so there were many erroneous issues, including assumptions made that was not clear to us students.

por Shernice J

Mar 30, 2019

Instead of having a lab after each topic, this course one lab per week encompassing all of the topics. Some might find that better than having smaller labs but to me the information was assimilated better when i did a lab right after the topic. That being said, you can open the lab first and follow along with/after each video. You just need to be mindful of what works best for you. Taking time to understand the code is a must and some more documentation would be helpful. I wasn't a beginner with Python and it took some time and work out what was happening at times.