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

16,189 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....



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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2276 - 2300 von 2,446 Bewertungen für Datenanalyse mit Python

von Camilo P T

15. Juni 2020

Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.

von Kenneth S

12. Jan. 2020

As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.

von Bjoern K

14. Juni 2019

Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help

von Nadeesha J S

11. Apr. 2019

I would like to see a final project in this course. It will encourage the learners to do more work.

von Edward S

2. Aug. 2020

The week 4 lab had issues with pipelines and did not function well and the final exam locked up.

von Miguel V

12. Nov. 2020

Needs more information on statistical tests. Specifically, when to use one model over another.

von Poorna M

24. Juni 2020

Videos in this section could be little more descriptive. It was not in the pace of a beginner.

von Nathan P

1. Jan. 2020

It was cool to see the stuff at work but I need more hands on practice to really learn stuff.

von Varun V

18. Dez. 2018

This looks good for experienced but not the best of course for beginners/intermediate level.

von Connor F

27. März 2020

when it got to model development it got too complicated too fast. The first half was great.

von Badri T

28. Mai 2019

Lots of good concepts. However, too complicated and could have been explained a bit more.

von Jesse Z

5. Juni 2019

For such a important topic, it seems like the videos sped through some essential topics.

von Debra C

24. März 2019

Course was worthwhile for general understanding of what can be accomplished with Python.

von Miguel A I B

13. Mai 2020

Exelent training to get familiar and intruducing to Python capabilities and programing

von Xinyi W

26. Jan. 2020

Superfacial level of Python while being not very through on the data analysis methods.

von Ana C

11. Juni 2019

To short

Goes to fast in some aspects, the theory is completely missing in this course

von Sathiya P

27. Aug. 2019

Nicely thought, but I felt concepts like Decision trees, Random forest were missing

von Ros R

12. Aug. 2019

The course is too long. The material should be divided and explained more detailed.

von Amanda A

16. Apr. 2020

There were many typos in the labs which made it difficult to understand at points.

von Juan S A G

20. Aug. 2020

very simple exercises which does not help to learn altough videos were exeptional

von Nafsika G

1. Nov. 2022

It was a good course but maybe a little too easy with all the prompts provided.

von Mohsen R

16. Juni 2020

The course does not explain the processes enough, there should be more examples.

von Maciej L

16. Mai 2019

Too many complicated things happening at once. It is hard to digest and follow.

von Tomasz S

19. Nov. 2018

Few small hiccups with the training videos and quite a few in the lab-excercise

von Craig S M

21. März 2022

It ok. Some parts of the course were bare bone. I liked the hands on sections.