Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,528 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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1926 - 1950 of 2,898 Reviews for Data Analysis with Python

By Lanwo A R

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Dec 22, 2019

great!!1

By Roberto M

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Dec 9, 2019

awesome!

By Josemar T M

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Aug 23, 2019

Completo

By Appala N

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Jun 15, 2019

good one

By Shashank R

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Apr 6, 2019

Amazing!

By Ivan I

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Mar 26, 2019

Awesome.

By Deleted A

•

Mar 21, 2019

Good one

By Siham

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Nov 15, 2024

amazing

By Rustam S

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Jul 12, 2024

Amazing

By Nho C D

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Apr 9, 2024

usefull

By ADEEBA R 2

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Jul 7, 2023

Perfect

By Sirojiddin D

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Apr 2, 2022

awesome

By Raghavendra S K

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Sep 13, 2021

amazing

By yuebin l

•

Feb 20, 2021

amazing

By Esteban O

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Oct 24, 2020

Usefull

By Harsha G

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May 7, 2020

AWESOME

By Zakaria E

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Apr 24, 2020

awesome

By Alejandro A

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Apr 24, 2020

Great!!

By Yu M C

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Dec 9, 2019

Awesome

By Patkari H B

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Jun 16, 2019

Awesome

By Will C

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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 Pham T H

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Oct 7, 2024

Great!

By S A B A

•

Jul 27, 2024

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