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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.

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1876 - 1900 von 2,312 Bewertungen für Datenanalyse mit Python

von Abdullah T A

18. Jan. 2022

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

von Reinhard H J

18. Okt. 2019

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

von Nur C N

11. Juli 2019

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

von Adrian A

26. März 2022

Good background knowledge.

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

von Umesh S

21. Juli 2020

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

von Fahad R

28. Juni 2020

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

von Sajal J

19. Okt. 2019

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

von Adam A

1. Feb. 2022

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

von Letshabo M

20. Juli 2021

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

von Puneet K U

12. Apr. 2020

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

von Manal C

10. Sep. 2019

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

von shaikh s

10. Sep. 2019

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

von Abdullah h

12. Okt. 2019

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

von Sanskriti T

17. Mai 2020

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

von Munir N

17. Okt. 2019

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

von Rubén G

11. Apr. 2020

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


von E. R " A

28. März 2020

An extraordinary well-designed course with excellent courseware and tests. A triumph!

von Sven B

26. Sep. 2019

Good quality, a little bit is missing the background explanation for some techniques.


9. Mai 2022

i think you it's better to make the question of the exam harder with add extra steps

von Will S

29. März 2020

The labs weren't available for a period of time, but the information is very useful!

von Lawrence F

18. Dez. 2018

Covers a bunch of useful stuff pretty fast. That may prove a problem in the future.

von Md. S R

14. Sep. 2021

Some syntax is wrong. However, more explanation is required for proper explanation!

von Marcel M R

17. Juli 2019

Week 04 and Week 05 are very confusing and only scratch the surface of the subject!

von Akash M

26. Jan. 2020

nice and balanced course i like the assignments in this course a lot to learn here

von Edinson R S A

5. März 2020

Good course, more explanation of the interpretations of the results will be great