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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM

4.7
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15,098 Bewertungen
2,275 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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1576 - 1600 von 2,281 Bewertungen für Datenanalyse mit Python

von NAMBURU V

11. März 2020

good

von Nicolas M

5. Jan. 2020

good

von KARIMULLA S S

12. Dez. 2019

Good

von Tanmay S

1. Dez. 2019

Best

von Thilini H

17. Nov. 2019

good

von Mahendra S

9. Nov. 2019

cool

von Manea S I

10. Sep. 2019

nice

von Marouane E O

5. Sep. 2019

good

von Jacob K J

12. Aug. 2019

good

von Yuan Y

15. Juli 2019

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von Miriam R

27. März 2019

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von Talha P

26. März 2019

good

von Tejpraneeth

25. März 2019

good

von PALEM A

10. März 2019

good

von Mahesh H

9. März 2019

GOOD

von VISHNULAL M

9. März 2019

nice

von Subrahmanyam

5. März 2019

good

von jakkam g

3. Feb. 2019

good

von Jimut B P

22. Sep. 2018

nice

von 121910313050 P S S

11. Apr. 2022

hhj

von Usman R M

27. Apr. 2019

top

von YANAMADALA P

3. Apr. 2019

gud

von SHREYANSH J

3. Feb. 2022

gg

von Talha A

16. Sep. 2019

<3

von Chandra S

7. Aug. 2021