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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM

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....



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.


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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1851 - 1875 von 2,238 Bewertungen für Datenanalyse mit Python


22. Apr. 2019

The content in the lab is great! However, video courses are not so good.

von Raphael I

27. Apr. 2021

great course,

exam handling not learner friendly & not very challenging

von shiva m a

3. Aug. 2020

Awesome introduction to data analysis with python. Loved it absolutely!

von Moaz M

11. Okt. 2019

some topics have not been covered well like piplines , cross validation

von David O

26. Juli 2020

The materials are well-organized, but there are many typos throughout.

von Angeliki M

2. Dez. 2019

A really good course. Probably the best so far in the IBM Certificate.

von Nanjun L

9. Jan. 2019

Would be better if more programming-oriented assignments are provided.

von Rahul P

12. Mai 2020

Excellent course with detailed hands-on experience via lab exercises.

von Manas C

31. März 2020

The course covers all the fundamental concepts needed for a beginner.

von Obong G

19. Feb. 2019

Though found the ending modules a bit challenging, its a great course

von Padraig M D

7. Juni 2020

Quite a challenging course, but very rewarding. I really enjoyed it.

von mohsin a

17. Okt. 2020

Hands on Labs are awesome .They helped to consolidate my concepts .

von Rohit P

25. Apr. 2019

Needed a more brief explanation on ridge regression and grid search

von Ninad M K

14. Juli 2020

It is a great course and it teaches me data analysis with python.

von Ginger M

18. März 2020

I think that for weeks 4 and 5 the course needs more explanation

von Wen P

24. Dez. 2019

Easy understanding

Good sample and comprehensive

Good for beginner

von Jeff J

27. Aug. 2019

Nicely explained. But many minor mistakes here and there though

von Bashar M

5. Feb. 2019

thank you very much ,this course was very useful and interesting

von Cherif H W A

14. Dez. 2019

as usual the labs are great but the videos could be much better

von Nicholas J F

3. Mai 2019

Good content. Still spelling errors and mistakes in some place.

von Mudita N

20. Feb. 2019

Last few weeks were a bit confusing but overall a good course .

von Ismayil J

5. Nov. 2018

Good overview of classic Statistic methods performed in Python.

von Shine

18. Juni 2019

There are something wrong in the final assignment submit page.

von Tatiana K

25. Jan. 2019

Great course, but the number of errors in videos is tremendous

von Logic

16. Juni 2020

This is a good course for beginners, but not enough in-depth.