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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM

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14,904 Bewertungen
2,236 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.

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1876 - 1900 von 2,238 Bewertungen für Datenanalyse mit Python

von Eliezer A

30. Juli 2019

there are some errors in the code lines through the lecutres.

von WANG T

24. Jan. 2019

Typos in the videos and notebooks should have been corrected.

von Raja U A

4. März 2021

Course Contents were excellent but not well arranged/planned

von alvaro a

30. Sep. 2020

Buen curso, los talleres permiten la aplicación de conceptos

von Abhay S

12. Mai 2020

Quiz sections are very simple in comparison to the lessons.

von Brijesh O

6. Mai 2020

Final assignment could be better thought out. very simple.

von Rahul S

18. Juli 2019

Very Helpful course..and very good contents..learnt alot..

von Narayanaswamy N

25. Mai 2019

First go for module 8 - Machine Learning and come to this.

von Ajay M

7. März 2020

The Non-Graded Online Assignment need more practice cases

von Filiberto H

17. Jan. 2020

Very difficult if you don't have some statistics bases

von Serena R T

22. Nov. 2019

A tough course yet interesting. Like the lab exercises

von Ran D

4. Jan. 2019

The question jumped up in the video is quite annoying.

von John P

20. Juli 2021

​Quite disappointed with the material in the course.

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.