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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM

4.7
Sterne
14,464 Bewertungen
2,147 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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1851 - 1875 von 2,144 Bewertungen für Datenanalyse mit Python

von Alpha Z

2. Feb. 2020

Too easy. Make it more challenging!

von Sachin G

29. Mai 2019

should have more thorough examples

von Liliana R

14. Nov. 2018

There are some errors in the labs

von Rauf S

8. Apr. 2020

you can explain more efficiently

von José C D S

7. Juni 2019

It took me longer than estimated

von Edoardo B

13. Jan. 2019

Missing a Peer-reviewed exercise

von ABHISHEK A

22. Juli 2018

Where good to start for beginner

von Sripriya D

19. Juli 2020

it felt very dry for some parts

von Jignesh P

12. Mai 2020

Great Learning from this course

von Joseph S

3. Mai 2020

Modules 4 & 5 need more detail.

von Shamik K

27. Dez. 2020

Diff course but well planned !

von Trang N D N

28. Feb. 2020

there are some bugs in the lab

von Igor G

5. Juni 2019

No linter was used by authors.

von JAWALGEKAR S S

20. Feb. 2020

it was worst experiance !!!!!

von VIGNESHKUMAR R

22. Dez. 2019

Good but need to improve labs

von Sakthivadivelan

15. Juli 2020

labs can be more explanatory

von Tyler X

8. Mai 2019

It's a little hard to learn.

von A A A

13. Apr. 2020

Fantastic coding experience

von Eslam G M I

2. Feb. 2019

This course taught me a lot

von Rhytham D

7. Apr. 2021

It is a good crash course

von Nina W

22. Juli 2019

课程的视频部分讲的比较简单,阅读材料值得认真完成。

von Chandrakanth R

8. Mai 2019

Complex topic simplified

von ZOUZOU K F R

18. März 2021

tres ravi de terminer

von lalitha_sri

11. Juli 2020

it was very helpful.

von Joshua T

28. Juli 2019

Final test had bugs.