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

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16,180 Bewertungen

Über den Kurs

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge....

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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1651 - 1675 von 2,443 Bewertungen für Datenanalyse mit Python

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 Tuan P

31. Okt. 2022

nice

von 21083010111 I R A

21. Okt. 2022

good

von Aravind R

15. Okt. 2022

good

von JAIPRAKAS G

10. Okt. 2022

good

von SONALI M

6. Okt. 2022

good

von Nightcore E

15. Juli 2022

tuyệt

von Amol C

6. Sep. 2021

great

von Bilinclizihin

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!

von Kathleen P

31. Dez. 2018

Great