Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,018 ratings

About the Course

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the 糖心vlog官网观看 course certificate, you will also earn an IBM digital badge....

Top reviews

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.

Jan 31, 2022

This is totally one of the hardest course I've ever taken on 糖心vlog官网观看. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

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2851 - 2875 of 2,990 Reviews for Data Analysis with Python

By Aditya D J

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Mar 9, 2022

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

By Nicholas P

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Sep 8, 2022

Final Project grading system was messed up.

By Yasmin A

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Feb 3, 2020

Un cours riche et ad茅quat pour les d茅butants

By Ambe E

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Nov 27, 2019

Very nice course. It gives you what you need

By Brian S

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Mar 29, 2020

Notebooks are sloppy, with typos and errors

By AVNISH R

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Apr 6, 2022

I am not able to download my certificate.

By Fariha M

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Sep 29, 2020

The course didn't seem challenging to me.

By Sachin L

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Sep 27, 2019

More examples and detailed explanation

By Nilanjana

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Jul 12, 2019

More examples and code examples needed

By Hamed A

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Apr 9, 2019

The course needs a final assignment!

By Rosaura R d H

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Jan 22, 2025

el contenido no se traduce muy bien

By Reza B

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Oct 20, 2024

Not enough depth and using only csv

By Boris S

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Oct 5, 2024

The final exam has broken questions

By piyush d

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Dec 6, 2019

exercises could have been better.

By Jyoti M

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Mar 26, 2020

I felt it was too fast to grasp.

By Baptiste M

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Nov 2, 2019

Final assignment is quite messy

By Murat A

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Apr 22, 2021

could not access the labs.

By Yuanyuan J

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Jan 18, 2019

Not clear on the last part

By Ahmad H

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Jun 8, 2019

This course is very tough

By conan s

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Dec 20, 2019

Lots of technical issues

By David V R

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Jun 18, 2019

Exams should be harder

By Riddhima S

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Jul 8, 2019

la lala la la laa aaa

By Daniel S

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Feb 9, 2019

Not easy to follow.

By Diego F C I

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Sep 8, 2024

Videos en Espa帽ol

By Allan G G

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May 10, 2022

Muy poco practico