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

12,259 Bewertungen
1,772 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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1451 - 1475 von 1,754 Bewertungen für Datenanalyse mit Python

von Brijesh O

May 06, 2020

Final assignment could be better thought out. very simple.

von Rahul S a

Jul 18, 2019

Very Helpful course..and very good contents..learnt alot..

von Narayanaswamy N

May 25, 2019

First go for module 8 - Machine Learning and come to this.

von Ajay M

Mar 08, 2020

The Non-Graded Online Assignment need more practice cases

von Filiberto H

Jan 17, 2020

Very difficult if you don't have some statistics bases

von Serena R T

Nov 22, 2019

A tough course yet interesting. Like the lab exercises

von Ran D

Jan 05, 2019

The question jumped up in the video is quite annoying.

von Umasankar M

Aug 02, 2020

Need more model development examples will be helpful

von Themba M

Jun 11, 2020

Explanation of lab steps has a room for improvement.

von Andres E S G

Jan 11, 2020

It could have a little more theory about statistics.

von Adesua A D

Nov 04, 2019

My first course on coursera and its very informative

von Alexandru S

Jun 03, 2019

A lot of information, it is at times hard to follow.

von Boru R

Sep 06, 2020

good course, but final assignment is way too simple

von Siu T J

Jul 19, 2020

Week 4 was too hard, while other modules were okay.

von Phạm T S

Jun 13, 2020

Very good course for learning about buidling models

von Neelam S

Jan 03, 2020

Examples should contain more codes used frequently.

von ZJ Y

Oct 01, 2019

it might need updating according to the new version

von Eirini K

May 21, 2020

Quite good to begin with, but not going in depth.

von Selina Z

Sep 26, 2019

Good resource to have a knowledge of pandas, etc.

von Deepratna A

Jun 24, 2019

Time and topic depth are not proportional at all.

von Patricia W

Aug 23, 2020

I thought it should be a little more assistance.

von khaled C

Apr 22, 2020

There are some little mistakes in the notebooks.

von Malege T M

Aug 26, 2019

A thoroughly impactful and well presented course

von Hussain T

Apr 30, 2019

a good course but its not going deep in things

von Serdar M

Nov 16, 2018

would be better if there were more exercises.