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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM

4.7
Sterne
14,243 Bewertungen
2,110 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....

Top-Bewertungen

RP
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.

SC
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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2001 - 2025 von 2,105 Bewertungen für Datenanalyse mit Python

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 Yasmin A

3. Feb. 2020

Un cours riche et adéquat pour les débutants

von Hiro H

27. Nov. 2019

Very nice course. It gives you what you need

von Brian S

29. März 2020

Notebooks are sloppy, with typos and errors

von Fariha M

28. Sep. 2020

The course didn't seem challenging to me.

von Sachin L

26. Sep. 2019

More examples and detailed explanation

von Nilanjana

12. Juli 2019

More examples and code examples needed

von Hamed A

8. Apr. 2019

The course needs a final assignment!

von piyush d

6. Dez. 2019

exercises could have been better.

von Jyoti M

26. März 2020

I felt it was too fast to grasp.

von Baptiste M

2. Nov. 2019

Final assignment is quite messy

von Murat A

21. Apr. 2021

could not access the labs.

von Yuanyuan J

17. Jan. 2019

Not clear on the last part

von Ahmad H

8. Juni 2019

This course is very tough

von conan s

20. Dez. 2019

Lots of technical issues

von David V R

17. Juni 2019

Exams should be harder

von Riddhima S

8. Juli 2019

la lala la la laa aaa

von Daniel S

8. Feb. 2019

Not easy to follow.