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

14,072 Bewertungen
2,090 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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751 - 775 von 2,085 Bewertungen für Datenanalyse mit Python

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.

von Matheus L T A

15. März 2019

Great! Filled with lots of concepts and practical exercises!

von Muhammad R

9. März 2019

Good Course ,learn mant things about Data science in details

von David C

19. Dez. 2018

This one was a little more difficult than the previous ones.

von Lương A

22. Sep. 2021

best course for who want to be a DA, De at biggining lever.

von Tuyen L T H

1. Nov. 2020

A very great course that I can learn much useful knowledge.

von Gene M A

27. Mai 2020

Well though-out format for teaching such a complex subject.

von Mpho L C

17. Mai 2020

The course was awesome and delivered in an efficient manner

von Varun S

8. Mai 2020

Extremely good course to begin your Data Science Journey !!

von Ninan A

1. Apr. 2020

Good course to quickly learn basics and start experimenting

von Mahomet N

24. Feb. 2020

The best course I've ever had on Coursera, very insightful!

von Ivan R A V

24. Feb. 2020

Excelente, muy agradecido por los conocimientos adquiridos.

von Zayed R

2. Sep. 2019

This course is providing valuable insight in Data analysis.

von Thanh C D

14. Juni 2019

Great Course! A lot of advanced knowledge. Very valuable <3

von Yves B

3. März 2019

Very thorough teaching of statistical analysis using python

von Amanzhol K

21. Jan. 2019

The most useful course on studying statistics in short time

von Valerii P

25. Nov. 2018

That was a great start for Data Analysis field's discovery!

von Rutav M

22. Okt. 2018

Good explanation for each topic and nicely designed course.

von charles l

19. Aug. 2020

Great course - really great notes, exercises and projects!

von Ashish S

11. Juli 2020

Very good course learnt a lot and cleared a lot of doubts.

von Stan M

11. Juni 2020

Great content. Ton of stuff to learn if you are motivated.

von Yiming Z

14. März 2020

great experience with IBM data analysis with Python


von Hasan F

8. Feb. 2020

Concise but effective lectures, great learning experience.