Chevron Left
Zurück zu Datenanalyse mit Python

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

4.7
Sterne
15,264 Bewertungen
2,303 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.

Filtern nach:

1526 - 1550 von 2,309 Bewertungen für Datenanalyse mit Python

von Daniel R

20. Mai 2020

perfect!

von lixulun

6. Mai 2020

课程节奏太棒了!

von Nicolas R

7. Feb. 2020

Great :D

von Lanwo A R

22. Dez. 2019

great!!1

von Roberto M

9. Dez. 2019

awesome!

von Josemar T M

23. Aug. 2019

Completo

von Appala N

15. Juni 2019

good one

von Shashank R

6. Apr. 2019

Amazing!

von Ivan I

26. März 2019

Awesome.

von Deleted A

21. März 2019

Good one

von Sirojiddin D

2. Apr. 2022

awesome

von Raghavendra S K

13. Sep. 2021

amazing

von yuebin l

20. Feb. 2021

amazing

von Esteban O

24. Okt. 2020

Usefull

von Harsha G

7. Mai 2020

AWESOME

von Zakaria E

24. Apr. 2020

awesome

von Alejandro A

24. Apr. 2020

Great!!

von Yu M C

9. Dez. 2019

Awesome

von Patkari H B

16. Juni 2019

Awesome

von 武全程

18. Apr. 2019

perfect

von Soumya R B

13. Dez. 2018

Awesome

von Sergejs S

22. Okt. 2018

Thanks!

von Kehinde D

23. Mai 2022

Great!

von Zijun H

30. Apr. 2022

Great!

von Abul B

22. Feb. 2022

thanks