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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM

4.7
Sterne
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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2001 - 2025 von 2,276 Bewertungen für Datenanalyse mit Python

von Gogo p

31. Juli 2021

Nice course

von B N B

6. Juni 2020

GOOD COURSE

von Shubham M

27. Feb. 2019

Good Course

von SAURAV

11. März 2022

goodcourse

von Sajeev R

25. Juli 2021

Lear Again

von Bhavesh J

22. Juni 2020

informaive

von Omer. K

11. Okt. 2021

excellent

von Daniel F V V

24. Aug. 2020

Good job

von Isaac N

3. Dez. 2019

Thank's

von Veronica S

6. Apr. 2019

not bad

von Germán G R

17. März 2022

s​o so

von Sakhumzi D

8. Sep. 2021

Decent

von Motlatsi M

23. Dez. 2020

BEST

von Landyn C O

6. Okt. 2020

good

von David H

7. März 2020

good

von Oseyi K

12. Juli 2019

good

von Abhishek K S

23. Apr. 2019

good

von Vigneshwaran P

13. März 2019

good

von Ayo S

23. Okt. 2018

Good

von Momin P

22. Mai 2022

na

von 李康杰

17. Okt. 2021

no

von shubham S s

9. März 2022

.

von Isaac S

5. Juli 2020

.

von MAHESH K W

21. Jan. 2020

M

von Christopher L

5. Feb. 2020

The course itself is good. But the amount of material covered is staggering large compared to the previous 5 classes. Why cram so much into this one class! The material is broad enough that it should be covered in 2 classes not 1. And as I've found in all the classes in this certificate program, there are not enough problems given to help students exercise all they are learning. There should be problem sets (with answer keys) given after each week that helps to drive home the important concepts. These could be optional, but I think it is imperative that students have an opportunity to work through more problems to help lock all of this important information in. There should also be links to places to go to learn more about each presented topic.

And the amount of errors in both the videos and labs is really bad. The class preparers (IBM) have done a horrendous job of catching and fixing the multitude of errors in the videos & labs that simply lead students astray. They have to find some method to get all the material correctly updated quickly and I suggested they should keep an ERRATA PAGE that lists all of the known errors that haven't been fixed yet. This would help them to keep an active punch-list of what has to be corrected and allow students to more easily check if a problem they are seeing is related to incorrect materials without having to scrub the forums to try to find answers. And the forums are not run very well. It generally takes a day to get any answers and the answers are not very thorough and in many cases just wrong. Students need a better way to ask questions when they get confused and the answers should be completely explained and relevant.