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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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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776 - 800 of 2,855 Reviews for Data Analysis with Python

By AMAN G

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Apr 5, 2020

WONDERFUL COURSE IT IS. so many things to learn . clearly defined and very helpful

By Howoo J

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Dec 10, 2019

LABs are great. You will take some time to get used to deal with all the features.

By Parab N S

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Oct 5, 2019

An excellent course by Professor Joseph Santarcangelo on Data Analysis with Python

By Rafael A

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Feb 3, 2019

Really well designed and brilliant examples that help to understand complex ideas.

By Jeferson S

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Sep 23, 2023

Fantastic Course. Congratulations to the authors and IBM for such a great course!

By David C

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Mar 14, 2022

quite a lot of material and getting into the details gets challenging at the end.

By Sean

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Feb 3, 2022

Of the courses in the IBM Data Science track this one has been my favorite so far

By Abhishek P G

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Jul 6, 2020

This is a very well organized online teaching technology skill - building course.

By Ishani S

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Apr 21, 2020

A good and thorough course about data analysis used by Data Scientists in Python.

By Anuradha D

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Apr 15, 2020

I have learnt a lot new cool features in this course. Great work. Keep it up sir.

By Lana N

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Feb 19, 2020

content of the video instruction is quite easy for beginners. Highly recommended!

By Kamal K

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Jan 26, 2020

this course is very useful for me, and I learn so much from this course.thank you

By Jyoti D S

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Dec 20, 2018

This course is very informative and good for beginners.Exercises are very useful.

By Fatemeh K

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Nov 19, 2023

this course will help deeply understand the concepts and tools of data analysis.

By aswitha t

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Oct 29, 2023

I have learned a lot from this course . its very useful and efficient. Thank you

By Tarun K A

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Sep 10, 2020

One of the best courses to understand Data Analysis via Python. Labs help a lot.

By Maria C

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Jun 9, 2020

Wow I just felt this was the right way to teach someone. Learnt a lot by the way

By Emmanuel D

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Jan 29, 2020

All you need is self motivation because this course will make you a data analyst

By Thibault M

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Nov 27, 2019

Excellent, Learning Linear Regression with an excellent approach. Great course !

By Sagnik A

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Nov 14, 2019

This was a very helpful and good course for learning Data Analysis with python .

By Mani B

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Jul 20, 2019

This course is really a great way to learn regression and practice with python.

By Kean T K

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Apr 19, 2019

The materials are easy to understand and the labs help to enhance understanding.

By Juan M O L

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Aug 18, 2022

A really good course . It was necessary to me an extra research on some topics.

By Balu

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Aug 1, 2022

I have learned alot from this course . i really loved it . Thank you coursera.+

By Christopher I F

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Mar 21, 2021

I wish I had known some of the information in this course during my Ph.D. study