Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,798 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 20, 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.

Feb 13, 2020

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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926 - 950 of 2,946 Reviews for Data Analysis with Python

By Enock A

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Jul 17, 2023

A great way, to start learning python programming for data analysis.

By Justin E

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Feb 24, 2023

All I can really say is that this is a very straight-forward course.

By Elias L

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Sep 9, 2022

Nice to discover the basic libraries used in a Data Science project

By Juan C J T

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Jul 24, 2022

Exceptional information for construct a well understanding summary.

By Alejandro B

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May 30, 2022

GREAT! Mainly if you're getting started at pandas and sci-kit learn.

By Allan B

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Mar 12, 2021

I'm so glad I had this opportunity, thank you coursera thank you IBM

By Christopher J M

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Oct 3, 2020

Outstanding coverage of Python tools and concepts for data analysis!

By GAURAV D G

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May 6, 2020

excellent course fo those who want to start a career in data science

By ong k s

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Oct 30, 2019

So far the best course to learn about statistical model development.

By S K

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Jan 29, 2019

excellent course, ideal for everyone aspiring to be a data scientist

By Natalia M

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Oct 7, 2018

Great and informative - amazing basis for Data Analytics with Python

By srbokrup

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Sep 7, 2023

Everything is explain on practical way. Thx a lot for this course.

By Yuliia S

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Apr 24, 2023

Great course with ton of important and useful information and labs.

By Aditya M

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Nov 12, 2020

Excellent course that eases learners into data analysis with Python

By Abdoulaye B

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May 14, 2020

highly recommend this course to anyone who wants to do data science

By Eduard C

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Jul 15, 2019

This is the best course in the IBM professional certificate program

By Alejandro M

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Jul 24, 2024

I found the issue, about my certificate. Thank you for this course

By Federico A G

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Jul 8, 2024

Very valuable course, specially as a first course in Data Analysis

By Dumitru C

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Apr 7, 2022

Well done, with clear explanations and hints on real life exemples

By Asim S

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Sep 7, 2021

I didnt get the certificate after the completion, I only got batch

By Azajul I N

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Dec 24, 2020

Wow. I really enjoyed this course. Highly Recommended. Keep it up.

By Edwin K

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Apr 9, 2020

I enjoyed the course because the labs were helpful for me to learn

By Bakari D

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Jul 22, 2019

Great basis for developing regression models and model evaluation.

By Osinowo P

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Jul 15, 2019

Not a bad course but you need to still do your homework thoroughly

By Gaurav K

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Nov 4, 2018

This course covered the basics of data analysis. Could be improved