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

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15,309 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....

Top-Bewertungen

RP

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.

SC

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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1576 - 1600 von 2,315 Bewertungen für Datenanalyse mit Python

von saiganesh g

11. Mai 2020

Happy

von Mauro M M R

23. März 2020

great

von kuncoro a n

18. Jan. 2020

goood

von Diego B

18. Dez. 2019

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von Arnab C

15. Aug. 2019

best!

von Kathleen P

31. Dez. 2018

Great

von Hanafi R J

27. Juli 2022

Nice

von Kevin L

3. Mai 2022

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von 121910304029 D A

28. Apr. 2022

GOOD

von Santosh S H

26. Apr. 2022

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von 121910309055 K S D

25. Apr. 2022

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28. Feb. 2022

nice

von Omar C V L

14. Feb. 2022

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von Mohamed E

27. Okt. 2021

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27. Sep. 2021

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13. Sep. 2021

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von Md. S I S

11. Sep. 2021

nice

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6. Sep. 2021

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von Kofi D

17. Aug. 2021

good

von Yuqi X

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von Sarath M

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30. Juni 2021

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9. Juni 2021

nice

von Nikhil B

5. Juli 2020

done

von Zixuan D

29. Juni 2020

good