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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM

15,098 Bewertungen
2,275 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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2151 - 2175 von 2,281 Bewertungen für Datenanalyse mit Python

von Filippo M

27. Sep. 2019

Useful course, but the IBM online platforms are not working well.

von Robert P

17. Mai 2019

Some concepts were quite confusing and not that well explained.

von Atharva Y

23. Jan. 2020

As compared to other courses this course seems to be too fast

von Nirav

26. Juni 2019

Lot's of errors in this course, please update and correct it.

von Anmol P

14. Okt. 2019

Course could have been more elaborate in depth and scenarios

von Tichaona M

5. Aug. 2020

This is a great course for building the base to use Python!

von 林tanya

27. Dez. 2019

the lab is extremely useful, however, videos are too short

von Michael A D R

1. Nov. 2019

Extremely interesting BUT it gets long and hard to follow.

von Nihal N

18. Apr. 2019

not in depth.... needs more clarity on a variety of topics

von Alejandro A S

25. Juli 2019

Experimented a lot of problems to complete the assignment

von Troy S

14. März 2019

Quizzes are too easy. Don't even need to watch the videos

von Anurag P

18. Jan. 2020

Mostly theoretical; very little to implement on our own.

von Pulkit D

29. Juni 2019

Please update and explain Rigid Regression a little more

von Appa R M

24. Okt. 2019

The kernal is stuck for some questions and its annoying

von Qing L

26. Jan. 2020

Kurs gut organisiert aber

die Fragen sehr oberflächlich

von Jakubina K

19. Dez. 2018

It would be more useful if labs were be rated as well.

von Ankit K S

29. Jan. 2020

It would be nice if the course had more assignments.

von Bhanu S

28. Apr. 2019

It was difficult to retain the knowledge imparted.

von Alton M

8. Juni 2019

The course requires more interactive programming.

von Xiangyu L

19. Jan. 2019

There are lots of mistakes throughout the courses

von Abdul M A

17. Apr. 2019

Not very interactive with fewer help to learners

von Ashwin G

26. Apr. 2019

Too fast and could have included more examples.

von Gerhard E

12. Feb. 2019

Copy of videos, not a fan of tools used in labs

von Aditya D J

8. März 2022

Nice, but I can't try IBM Cloud Trial for free

von Yasmin A

3. Feb. 2020

Un cours riche et adéquat pour les débutants