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

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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.

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Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should.

A good starter course to wet your feet in DA!

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1926 - 1950 of 2,859 Reviews for Data Analysis with Python

By 西山郡

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Apr 18, 2019

perfect

By Soumya R B

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Dec 13, 2018

Awesome

By Sergejs S

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Oct 22, 2018

Thanks!

By S A B A

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Jul 27, 2024

ممتازه

By Martha B G R

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Mar 25, 2024

Great!

By a. y

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Oct 23, 2023

thanks

By AHMED A I M

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Nov 23, 2022

GOOOOD

By Amber V

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Aug 13, 2022

awsome

By Kehinde D

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May 23, 2022

Great!

By Zijun H

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Apr 30, 2022

Great!

By Abul B

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Feb 22, 2022

thanks

By Ishita

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Mar 1, 2021

Great!

By Kasi V

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Nov 1, 2020

Thanks

By Piriyapong W

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May 25, 2020

Great!

By Purple M

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Mar 21, 2020

great!

By Alberto T

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Feb 28, 2020

Useful

By oussama r

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Oct 12, 2019

Greaat

By Смолеевский В Г

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Sep 14, 2019

Great!

By Adil S

•

Jan 27, 2019

zaebis

By Pooja K

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Sep 13, 2024

goood

By Maaly M E H

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Jul 13, 2024

Great

By cathyxu

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May 31, 2024

Great

By Taieb E

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May 19, 2024

bravo

By Lahiru P

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Feb 2, 2024

Great

By KKAK K

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Nov 23, 2023

great