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

4.7
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15,281 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

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.

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.

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1551 - 1575 von 2,311 Bewertungen für Datenanalyse mit Python

von Zijun H

30. Apr. 2022

Great!

von Abul B

22. Feb. 2022

thanks

von AHMED A I M

3. Okt. 2021

GOOOOD

von Ishita

1. März 2021

Great!

von Kasi V

1. Nov. 2020

Thanks

von Piriyapong W

25. Mai 2020

Great!

von Purple M

21. März 2020

great!

von Alberto T

28. Feb. 2020

Useful

von oussama r

12. Okt. 2019

Greaat

von Смолеевский В Г

14. Sep. 2019

Great!

von Adil S

27. Jan. 2019

zaebis

von Nightcore E

15. Juli 2022

tuyệt

von Amol C

6. Sep. 2021

great

von Mehmet G I

18. Feb. 2021

10/10

von KIM T

16. Feb. 2021

Great

von CS M L

26. Jan. 2021

great

von Shreya M

13. Okt. 2020

Great

von Rafiul A

4. Aug. 2020

Great

von Pankaj S

24. Juni 2020

great

von Fernando P

13. Mai 2020

Nice!

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

great

von Arnab C

15. Aug. 2019

best!