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Kursteilnehmer-Bewertung und -Feedback für Datenanalyse mit Python von IBM

14,024 Bewertungen
2,080 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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726 - 750 von 2,075 Bewertungen für Datenanalyse mit Python


3. Feb. 2021

Totally relevant and gives a feel of real-time logical anlysis

von mo t

25. Dez. 2020

The training was very good and the quizzes were not difficult.

von João R

28. Sep. 2020

Very practical and relevant for Data Science! Congratulations!

von Mohammad F

26. Apr. 2020

This is a great course for learning data analysis with Python.

von Tanish S

4. März 2020

Superb for beginners for such those who are not able to afford

von David A C C

2. März 2020


An excellent course.

- Good methodology

-. Well examples.

von Matteo E

1. Aug. 2019

It is a good course for beginners, topics are explained enough

von Moises R G G

27. Mai 2019

I learned new concepts and reinforce my statistical knowledge.

von Anna B

13. Okt. 2018

Great course!

you get all needed material to analyse a dataset!

von Anurag S

23. Mai 2021

Really great course. Content and videos are really exemplary.


18. Juli 2020

Heavy Brainstorming for Beginners and that's actually good :)

von Russel A

15. Juli 2020

Excellent Lectures. A wonderful experience learning Analytics

von Anuj K

22. Mai 2020

structured course to get started on data analysis with python

von Azman A

4. Mai 2020

Great Content , balanced and well delivered to guide learning

von Vibhor G

29. Apr. 2020

Much needed course for those who are from a different fields.

von Friscian V C

20. Jan. 2020

best course so far! lot's and lot's of information, loved it.

von Siddharth C

13. Jan. 2020

The whole course was very interactive and easily understable.

von hassan s

19. Aug. 2019

Thank god - Nice course and good perception of understanding.

von Chau V V

13. Sep. 2021

Not yet receive Certificate Professional, Please issue to me

von Himanshu

30. Juli 2021

good structure of the course help to relate things very well

von B M S

10. Apr. 2021

Excellent course for analyzing data and regression modelling

von Amruta G

20. Juli 2020

It is the best course for beginners to start with .Thank you

von Robin V

5. März 2020

The course is well designed. Learned the concepts very well.

von Maaz A

14. Apr. 2019

One the very well defined and finest course I have ever seen

von Đức A V

25. März 2019

At least, I have learnt something new at a very basic level.