Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,446 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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2526 - 2550 of 2,884 Reviews for Data Analysis with Python

By Krishnaraj S

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Oct 1, 2023

good for beginners

By SATYAM K

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Feb 4, 2022

ExcellentExcellent

By mahesh C

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Apr 13, 2020

can go more deeper

By Darshak S

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Jan 28, 2020

very useful course

By RuthuRaj k

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Oct 12, 2023

Beginner Friendly

By Santiago A J

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Mar 8, 2022

Excelent and Fun

By Banappagari S R

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Aug 30, 2024

Vey good course

By Chimi C

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May 16, 2019

was really nice

By Shyam B K

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Sep 10, 2023

NIce exprience

By gabin N D

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Nov 16, 2022

Très bon cours

By aayushi s

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Jul 13, 2022

Great course !

By Luis A A Y

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Jun 15, 2020

Great Course !

By shilparani

•

Aug 23, 2023

good to learn

By Divya s

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Jun 26, 2022

very helpfull

By Ruppa S S

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May 14, 2020

Great course!

By Jitendra K

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Dec 29, 2019

Best course .

By Yipin G

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Apr 7, 2023

very helpful

By Dom R

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Sep 18, 2022

It was fun.

By Pradeep N S

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Aug 3, 2020

Great Course

By MUSHARRAF H B

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May 28, 2020

Great Course

By Arvind G

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May 22, 2020

Nice content

By Douglas Z

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Apr 4, 2019

great course

By Edison G L R

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Mar 15, 2019

Great course

By Adrian G

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Aug 18, 2024

Good course

By radhwen e

•

Jul 5, 2024

nice course