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

15,272 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....



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.


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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1951 - 1975 von 2,310 Bewertungen für Datenanalyse mit Python

von Umasankar M

1. Aug. 2020

Need more model development examples will be helpful

von Themba M

11. Juni 2020

Explanation of lab steps has a room for improvement.

von Andres E S G

11. Jan. 2020

It could have a little more theory about statistics.

von Adesua A D

4. Nov. 2019

My first course on coursera and its very informative

von Alexandru S

3. Juni 2019

A lot of information, it is at times hard to follow.

von Boru R

6. Sep. 2020

good course, but final assignment is way too simple

von siu t

19. Juli 2020

Week 4 was too hard, while other modules were okay.

von Pham T S

13. Juni 2020

Very good course for learning about buidling models

von Neelam S

3. Jan. 2020

Examples should contain more codes used frequently.

von ZJ Y

1. Okt. 2019

it might need updating according to the new version

von Eirini K

20. Mai 2020

Quite good to begin with, but not going in depth.

von Selina Z

26. Sep. 2019

Good resource to have a knowledge of pandas, etc.

von Deepratna A

24. Juni 2019

Time and topic depth are not proportional at all.

von Patricia W

23. Aug. 2020

I thought it should be a little more assistance.

von khaled C

22. Apr. 2020

There are some little mistakes in the notebooks.

von Malege T M

26. Aug. 2019

A thoroughly impactful and well presented course

von Sachin M

29. Juni 2021

Need more details other-wise very good course.

von Hussain T

30. Apr. 2019

a good course but its not going deep in things

von Serdar M

16. Nov. 2018

would be better if there were more exercises.


18. Aug. 2021

Not very easy to understand the coding part.

von Myrlene C

15. März 2021

Great Course.. It went a bit too fast though

von Shashank V M

9. Apr. 2020

Simple as compared to real world challenges.

von GSR S

20. Sep. 2019

Good Lab examples and thorough explanations.

von Ali N

17. Juli 2019

It was a good course. The labs were helpful.

von Balavignesh R C

18. Dez. 2018

Good Understanding of Data Science concepts.