Chevron Left
Zurück zu Datenanalyse mit Python

Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM Skills Network

15,294 Bewertungen

Über den Kurs

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....



5. Mai 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.


19. Apr. 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.

Filtern nach:

51 - 75 von 2,312 Bewertungen für Datenanalyse mit Python

von Nigel H

13. März 2019

Quizzes are too easy. No evaluation of actual code.

von Louis C C I

28. Feb. 2021

There is a lot of great content in this course and I believe the authors really want their students to learn the material, but the videos could be made better (make them with a real person explaining the concepts) and the labs could be more descriptive with the concepts and the authors should explain their code better. Also, there was a ton of typos, mistakes, or errors in the labs which is very annoying / frustrating. When you see these typos or mistakes it really makes you question the authors, IBM, and the material in general.

Doesn't anyone proof read the labs before they're published? Or are they just rushing to push out content?

von Niko J

29. Apr. 2020

The course included a lot of very useful information. Thank you for that! Unfortunately it is also full of mistakes/misinformation. Every time I was about to report those errors, I found out that they have been already reported in the forum. And usually reporting had happened several months ago so that left me wondering how it can be that the mistakes are still there. So far I've been participating two other Python/AI courses by IBM and they were 5 starts. For this one, unfortunately 3 stars is best I can give with all the unfixed mistakes..

von Vera

7. Apr. 2021

The general course content was okay. Unfortunately I didn't learn too much about Python and Data Analysis for Data Scientists. This was due to the following reasons:

1) a lot of interaction with not working IBM infrastructure. It took me around 3x as much time to get required things working on IBM cloud and IBM Watson compared to the time spent for actual assessments. It is annoying if it's getting that obvious that IBM wants to use the course to promote own products. This is sad as we all already pay for the course...

2) There occurred quiet some arrows in the labs which even after months (according to the discussion) have to been corrected.

3) The amount of hands-on training in the notebooks/labs was really small. It was not a lot one had to program on their own and the parts which had to be programmed were only an exact copy of what was already done before. Even the final assessment did not really contain a real task.

4) Many concepts weren't explained in depth. The explanations just stayed very superficial. Some concepts like fit()/fit_transform() which appeared in the labs weren't explained at all in the videos or in the labs. This led to a lot of confusion as could be seen in the discussion threads.

As we all pay for this course please increase the amount of actually explaining concepts in depth and the amount of real in depth hands-on training and reduce the parts on IBM Watson and other such stuff. Thanks a lot!

von Andrea

22. Okt. 2021

I can't believe this course has an average of 4.5 stars. I think they're fake reviews.

They state that no previous knowledge is needed and yet the topics are complex and not explained during the course. They give you information without any introduction on them, giving for granted that you know that information.

There's a lab to exercise that is full of bugs.

If you want to learn Data Analysis with Python and you don't have any previous knowledge of Python, Statistics and Econometrics, stay away from this course.

Probably if you have a firm knowledge of the above subjects it can be useful.

I think people rated it with high score, because it's easy to get the certificate, not because is useful in terms of learning the subject.

von Jennifer R

31. März 2020

The topic is very interesting, but the execution was poor. Code and numbers were just being read at me, instead of focusing the recorded lectures on teaching concepts and troubleshooting, and leave the code to be read by myself in the labs. Also, the quizzes along the way were nearly useless: only two questions, a "pass with at least 50%", and the questions asked were very superficial. This is the most poorly executed course I have taken on Coursera so far.

von Abhijit R

6. Sep. 2019

Course content is very poor. Not clearly explaining each & every thing in each slide. Disgusting

von Somayeh A

28. Juli 2020

The instructor does not explain the codes at all. She just rushes to finish the videos!

von Ritesh C

4. Aug. 2020

Nothing explained in course, nor even exercise for practice any good

von Ahmed B

14. Juli 2020

the explanation isn't good

von Shuting Z

22. Nov. 2020

Not well designed at all.

von Bryce M

22. Dez. 2020

explanations are lacking

von Franco J

17. Okt. 2019

Really intensive module. Be prepared to learn a lot here. You'll be diving into real stuffs that wil ask you to listen carefully and understand the matter. My advise is to take note of any points that you are not comfortable with and make additional research on google/youtube to become friendly with it.

One of the top module i've complete so far on Coursera. Full of usefull, meaningfull information and knowledge.

von Oritseweyinmi H A

22. Apr. 2020

Great course, that builds up and ties together some earlier parts of the DS certification. It helped me to understand the process behind developing a model and then later evaluating it. Solid introduction to analysing data with Python and I look forward to applying the skills I learn here in the applied capstone project!

von Nora I

12. März 2019

Really great! Tons of information complemented with exercises. To deal with the amount of material, I suggest following the labs very closely and doing a bit of research in the Python documentation avalaible online. I have to say you really hit the core of the matter in this course!

von Luis H

4. Juni 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.

von Cecil K

7. Feb. 2020

The courses from IBM on Data Analysis, Visualization, Machine Learning are great. I am in an online M.S. program, and the material from IBM is lightyears ahead of my university material.

von Opetunde A

12. Juli 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

von Prakash C

6. Juni 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

von Siddhartha S

4. Juni 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

von Aldy P S

7. Mai 2020

helps me a lot! FYI I was new to data science and programming language but this course helps me to understand business analysis with Python!

von Ted H

6. Juni 2019

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

von Paulo B S

4. Juni 2019

A very complete course of Data Analysis.

von Mahmood H

16. März 2019

Tough but useful.

von Vincent Z

10. März 2019

The course content is definitely interesting, but the approach is superficial. You will get a broad overview of the keyword to search for, and what is available in popular Python packages. However, the quizzes are way, way too easy. The course needs a final "open" assignment, where you have to use the tools without being guided along the way. This is the only way to truly learn.