Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,616 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

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.

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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1876 - 1900 of 2,912 Reviews for Data Analysis with Python

By Jose A A G

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Sep 17, 2024

excellent

By Carlos A R P

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Sep 4, 2024

Excelente

By Jose D

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Aug 25, 2024

very good

By Gnonsoa A C T

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Aug 15, 2024

Excellent

By Amandeep S

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Aug 3, 2024

very nice

By Abhishek K S

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Jul 29, 2024

thank you

By MOHAN B

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Jun 11, 2024

Very good

By Hnin A

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May 15, 2024

difficult

By Kiệt T

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Jan 22, 2024

realistic

By Rodrigo P

•

Sep 12, 2023

Excelente

By Hamas A

•

Jul 27, 2023

nextlevel

By SUMEET S

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Mar 18, 2023

very good

By Vernando B

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Nov 28, 2022

very good

By Danitza A L

•

Nov 2, 2022

Good one!

By AwkNinja

•

Oct 17, 2022

Amazing.

By Winner

•

Jul 30, 2022

Very good

By Mahdi T

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Jun 12, 2022

the best

By 文素婷

•

Dec 8, 2021

very good

By EMAD A A A

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Nov 9, 2021

excellent

By Shubhanshu

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Sep 4, 2021

very good

By Gaurish G

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Jul 22, 2021

Excellent

By Rafael J A C

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Oct 19, 2020

Excellent

By OLAWALE F

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Sep 1, 2020

Excellent

By Ever J O H

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Jul 20, 2020

EXCELENTE

By Sai R P

•

Jun 16, 2020

usefull!!