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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM

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15,077 Bewertungen
2,271 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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1551 - 1575 von 2,276 Bewertungen für Datenanalyse mit Python

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

Good

von 121910309055 K S D

25. Apr. 2022

good

von Dibyendu s

28. Feb. 2022

nice

von Omar C V L

14. Feb. 2022

Good

von Mohamed E

27. Okt. 2021

good

von Satish w

27. Sep. 2021

good

von Pradeep K

13. Sep. 2021

Good

von Md. S I S

11. Sep. 2021

nice

von Isabella A T

6. Sep. 2021

Good

von Kofi D

17. Aug. 2021

good

von Yuqi X

3. Aug. 2021

good

von Sarath M

2. Aug. 2021

good

von harsh h

30. Juni 2021

good

von Swati P

9. Juni 2021

nice

von Nikhil B

5. Juli 2020

done

von Zixuan D

29. Juni 2020

good

von VISHNU T B

28. Juni 2020

Good

von Soumyajit D

11. Juni 2020

good

von ARIJIT K

28. Apr. 2020

good

von Prashant P

9. Apr. 2020

good

von NAMBURU V

11. März 2020

good

von Nicolas M

5. Jan. 2020

good

von KARIMULLA S S

12. Dez. 2019

Good