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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,235 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

LM

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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

AB

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Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

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1426 - 1450 of 2,855 Reviews for Data Analysis with Python

By Arjun B

Aug 2, 2022

great practical experience

By Diego F M

May 22, 2022

It was an excellent course!

By SENAAT3257

Jan 9, 2022

Very Good Course. Thank you

By Dhruvi T

Aug 31, 2021

EXCELLENT LEARNING PLATFORM

By JEAN-BLAISE A A

Jul 26, 2021

nice and instructive course

By Graig L

Oct 25, 2020

Great course, very complete

By Rafael M

Aug 12, 2020

Very good labs and datasets

By G S K

Jun 25, 2020

a very informative seesions

By Sarika J

May 2, 2020

very nice and easy language

By Albert D

Jan 14, 2020

I learn a lot in this class

By RK

May 1, 2019

excellent course i loved it

By Lei

Dec 9, 2018

very good. I will continue.

By Bishoy N

Jun 22, 2024

Very interesting study👍👌

By brandy L

Dec 20, 2021

really useful for beginner

By elmer e

Sep 26, 2021

Great learning experience!

By Samsonova A

Nov 4, 2020

This course is very useful

By Eiichi S

Sep 18, 2020

Thank you for the contents

By Greg D

Jun 11, 2020

Very useful for my project

By Prashant K

Apr 24, 2020

Really nice taught course.

By Khoong L E

Dec 13, 2019

Great course for beginner!

By Александр И

Nov 28, 2019

Best course for beginners!

By Debolina

Jul 3, 2019

A very informative course!

By Grigori P

Mar 29, 2019

Excellent course , thanks!

By Xiaoqi Z

Nov 11, 2018

Very systematic and clear.

By Shaik V

Jul 29, 2024

great learning experiance