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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM

15,083 Bewertungen
2,272 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....



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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676 - 700 von 2,278 Bewertungen für Datenanalyse mit Python

von Eik U H

12. Dez. 2018

It would be nice if teaching staff could correct notified errors in quizzes.

von Ricardo O

7. Feb. 2022

O Coursera sempre surpreendendo com seus conteúdos. Altamente recomendavél.

von Dustin E

29. Juli 2021

One of the most informative and hands-on courses that I have done thus far.

von Dr. A J

28. Mai 2020

course was very informative and very well organized. Full credit to teacher

von Nikhil J

18. Apr. 2020

Neatly structured. Great course. Will recommend to anyone interested in DS.

von Sergi R

15. Apr. 2020

Muy buena visión de los pasos a seguir para generar un modelo y verificarlo

von Hashum A

7. Apr. 2020

this course is very excellent they give you depeath knowledge of statistics

von Revalda P

24. Juli 2019

This course is great, it covers the foundation of Data Analysis with Python

von Junaid A

20. Feb. 2019

More than sufficient overview of SQL and how to use it in jupyter notebook.

von Omar E

21. Juni 2022


von Harsha M K

10. Sep. 2021

Very very happy with the course thank you IBM for this amazing opportunity

von mohammad f a

1. Mai 2020

Awesome course data enthusiast must take this course . Best course content

von Johann F R P

19. Apr. 2020

Excelente, felicitaciones a los creadores del contenido y de los Notebooks

von Gerardo J P

25. März 2020

A very good course to start learning Python and, of course, data analysis.

von Yohanes

21. Jan. 2020

It's Good for people who wants to know python and data analysis for newbie


12. März 2019

The course is unique in it's own way, simple in understanding and applying

von Haley T

16. Jan. 2019

One of my favorite courses on Coursera. I have learned a lot about Python.

von Carolina Z O

28. Aug. 2020

Es un curso completo, con el recurso del laboratorio de IBM es excelente.

von Alejandro G

24. Apr. 2020

The topics are well explain to catch up in statistical terms and concepts

von Geetha N

2. März 2020

Well thought off module as well inputs and project work are well designed


17. Feb. 2020

Excelente curso, los laboratorios brindan una mejor comprensión del curso

von Saad Z

7. Nov. 2019

Probably the best to teach data analysis using Python. Thank you so much.

von Kalpa

18. Apr. 2019

Hands on and practical course, Lab exercises help to drive in the methods

von Manuel A N R

3. Mai 2022

Very insightful and a great star to begin to understand Machine Learning

von Divya J C

3. Apr. 2022

Brilliant course content. Thorough covering of topics for data analysis.