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

12,239 Bewertungen
1,770 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....



Apr 20, 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.


May 06, 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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1726 - 1750 von 1,752 Bewertungen für Datenanalyse mit Python

von Jen E

Jul 31, 2019

So many problems with the lessons and the final project.

von Rasmi D

Jun 18, 2019

very high level... topics not covered in depth

von Hakki K

Jul 09, 2020


I completed entire program and received the Professional Certificate. On the Coursera link of my certificate "3 weeks of study, 2-3 hours/week average per course" is written. This information is not correct at all, it takes approximately 3 times of that time on average! I informed Coursera about it but no correction was made. It should be corrected with "it takes approximately 19 hours study per course" or "Approx. 10 months to complete Suggested 4 hours/week for the Professional Certificate".

Here is the approximate duration for each course can be found one by one clicking the webpages of the courses in the professional certificate webpage: (*)

Course 1: approximately 9 hours to complete

Course 2: approximately 16 hours to complete

Course 3: approximately 9 hours to complete

Course 4: approximately 22 hours to complete

Course 5: approximately 14 hours to complete

Course 6: approximately 16 hours to complete

Course 7: approximately 16 hours to complete

Course 8: approximately 20 hours to complete

Course 9: approximately 47 hours to complete

This makes in total approximately 169 hours to complete the Professional Certificate. As there are 9 courses, each course takes approximately 19 hours (=169/9) to complete.


von Thamarak

Aug 22, 2020

This course is too hard. This should be go on more slowly and explain more about meaning of each value described. The course is not for beginner and not for a person who doesn't have enough statistics background.

von Prem K G

Jun 14, 2019

Longest course and the most boring one. The quizes have some problem even the correct ans are corrected and incorrect . The questions seem to change change their mind on the answers!!!

von Antonio A

Aug 10, 2020

This course isn´t offering value, every automata can follow this course and pass it. I´m looking courses which can help me improve my professional skills.

von Louise B

Jun 21, 2018

Typos and mistakes in the quizz, phrasing of questions is misleading. Meant for beginners but with all mistakes hard to learn the right way.

von Abhijit R

Sep 06, 2019

Course content is very poor. Not clearly explaining each & every thing in each slide. Disgusting

von Ali A

Sep 05, 2018

Too shallow course material. It just call libraries and functions without describing why.

von Somayeh A

Jul 29, 2020

The instructor does not explain the codes at all. She just rushes to finish the videos!

von Chayan S

Jun 17, 2019

This course is not descriptive in nature and just has been surfaced on the topics.

von Jianfei Z

Feb 18, 2019

No systematic teaching. Only pick a few pebbles and assume you can build a palace.

von Zeyad M

Aug 17, 2020

worst ever

the greatest thing i have learned here is patience and searching online

von James

Sep 01, 2019

Shambolically organised, an overt plug for IBM's barely functional cloud systems

von Steve L K A

Jun 08, 2019

Hardly challenging. No programming practice and all MCQs.. unstimulating.

von Paolo F

Mar 19, 2020

Salta dei pezzi. Spiega troppo veloce e non ti lascia vedere le slide

von Ritesh C

Aug 04, 2020

Nothing explained in course, nor even exercise for practice any good

von Ласковый А А

May 09, 2020

The course is interesting, but those who check are inattentive

von Krishna S

Jun 13, 2019

Worst mooc I ever taken, they just advertise about IBM

von Jinling C

Jul 03, 2019

so confused and several errors , pls correct them

von Kenneth H

May 04, 2020

I would like to give it a 0 but it won't let me

von Michael R

Aug 31, 2018

No support from moderators, plenty of typos.

von Ahmed B

Jul 14, 2020

the explanation isn't good

von wanlinberg

Sep 02, 2019