Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

17,806 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 Coursera course certificate, you will also earn an IBM digital badge....

Top reviews

May 5, 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.

Apr 19, 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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2601 - 2625 of 2,731 Reviews for Data Analysis with Python

By Jakubina K

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Dec 19, 2018

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

By Ankit K S

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Jan 29, 2020

It would be nice if the course had more assignments.

By Bhanu S

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Apr 28, 2019

It was difficult to retain the knowledge imparted.

By Alton M

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Jun 8, 2019

The course requires more interactive programming.

By Xiangyu L

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Jan 19, 2019

There are lots of mistakes throughout the courses

By Abdul M A

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Apr 17, 2019

Not very interactive with fewer help to learners

By Ashwin G

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Apr 26, 2019

Too fast and could have included more examples.

By Gerhard E

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Feb 12, 2019

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

By Aditya D J

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Mar 8, 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 adéquat pour les débutants

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 28, 2020

The course didn't seem challenging to me.

By Sachin L

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Sep 26, 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 8, 2019

The course needs a final assignment!

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 21, 2021

could not access the labs.

By Yuanyuan J

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Jan 17, 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