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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
17,693 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

RP

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.

SC

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.

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2301 - 2325 of 2,715 Reviews for Data Analysis with Python

By John P

Jul 20, 2021

Quite disappointed with the material in the course.

By Umasankar M

Aug 1, 2020

Need more model development examples will be helpful

By Themba M

Jun 11, 2020

Explanation of lab steps has a room for improvement.

By Andres E S G

Jan 11, 2020

It could have a little more theory about statistics.

By Adesua A D

Nov 4, 2019

My first course on coursera and its very informative

By Alexandru S

Jun 3, 2019

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

By Rosemary M

May 8, 2023

This is a very educative course .Thank you Coursera

By Boru R

Sep 6, 2020

good course, but final assignment is way too simple

By siu t

Jul 19, 2020

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

By Son P T

Jun 13, 2020

Very good course for learning about buidling models

By Neelam S

Jan 3, 2020

Examples should contain more codes used frequently.

By ZJ Y

Oct 1, 2019

it might need updating according to the new version

By Eirini K

May 20, 2020

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

By Hui Z

Sep 26, 2019

Good resource to have a knowledge of pandas, etc.

By Deepratna A

Jun 24, 2019

Time and topic depth are not proportional at all.

By Patricia W

Aug 23, 2020

I thought it should be a little more assistance.

By khaled C

Apr 22, 2020

There are some little mistakes in the notebooks.

By Malege T M

Aug 26, 2019

A thoroughly impactful and well presented course

By D T

Apr 14, 2023

Great exexamples and practice questions. Thanks

By Sachin M

Jun 29, 2021

Need more details other-wise very good course.

By Hussain T

Apr 30, 2019

a good course but its not going deep in things

By Serdar M

Nov 16, 2018

would be better if there were more exercises.

By SARAVANAN M

Aug 18, 2021

Not very easy to understand the coding part.

By Myrlene C

Mar 15, 2021

Great Course.. It went a bit too fast though

By Shashank V M

Apr 9, 2020

Simple as compared to real world challenges.