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

15,272 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....



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.


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.

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1926 - 1950 von 2,310 Bewertungen für Datenanalyse mit Python

von Ginger M

18. März 2020

I think that for weeks 4 and 5 the course needs more explanation

von Wen P

24. Dez. 2019

Easy understanding

Good sample and comprehensive

Good for beginner

von Jeff J

27. Aug. 2019

Nicely explained. But many minor mistakes here and there though

von Bashar M

5. Feb. 2019

thank you very much ,this course was very useful and interesting

von Cherif H W A

14. Dez. 2019

as usual the labs are great but the videos could be much better

von Nicholas J F

3. Mai 2019

Good content. Still spelling errors and mistakes in some place.

von Mudita N

20. Feb. 2019

Last few weeks were a bit confusing but overall a good course .

von Ismayil J

5. Nov. 2018

Good overview of classic Statistic methods performed in Python.

von Shine

18. Juni 2019

There are something wrong in the final assignment submit page.

von Tatiana K

25. Jan. 2019

Great course, but the number of errors in videos is tremendous

von Logic

16. Juni 2020

This is a good course for beginners, but not enough in-depth.

von Eliezer A

30. Juli 2019

there are some errors in the code lines through the lecutres.

von WANG T

24. Jan. 2019

Typos in the videos and notebooks should have been corrected.

von Raja U A

4. März 2021

Course Contents were excellent but not well arranged/planned

von alvaro a

30. Sep. 2020

Buen curso, los talleres permiten la aplicación de conceptos

von Welamaza A M

18. Juni 2022

Well taught and is challenging enough to keep one motivated

von Abhay S

12. Mai 2020

Quiz sections are very simple in comparison to the lessons.

von Brijesh O

6. Mai 2020

Final assignment could be better thought out. very simple.

von Rahul S

18. Juli 2019

Very Helpful course..and very good contents..learnt alot..

von Narayanaswamy N

25. Mai 2019

First go for module 8 - Machine Learning and come to this.

von Ajay M

7. März 2020

The Non-Graded Online Assignment need more practice cases

von Filiberto H

17. Jan. 2020

Very difficult if you don't have some statistics bases

von Serena R T

22. Nov. 2019

A tough course yet interesting. Like the lab exercises

von Ran D

4. Jan. 2019

The question jumped up in the video is quite annoying.

von John P

20. Juli 2021

​Quite disappointed with the material in the course.