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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,110 ratings

About the Course

Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, you’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement....

Top reviews

RP

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.

AB

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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901 - 925 of 3,012 Reviews for Data Analysis with Python

By Antonio J T D

Jul 10, 2019

Fantastic review on basic python libraries and methods for Data Science.

By Taras S

Mar 3, 2019

Super nice overview of applied data science techniques and Python tools!

By Minh D D

Sep 3, 2018

Excellent course. I will definitely recommend this course to my friends!

By Julian T

Apr 3, 2025

Awesome. taught everything i needed without any extra unnecessary stuff

By Ying Z

Apr 18, 2022

This course gives me a clear overview of how to analyze data in Python.

By Miguel C R

Jul 31, 2020

Useful course to learn some techniques to analyze data and visualize it

By Bijoy M

May 18, 2020

A fantastic course. Short , precise and well organized. Thanks a lot...

By Stella S

Feb 22, 2020

Easy to follow with great content for new in data analysis with Python.

By Zhen W

Oct 20, 2019

I learned a lot from this course, both the videos and the labs, thanks!

By anita s

Sep 27, 2019

Its nice course, challenging peer assignment , alot of thing can learn.

By TARIQ N

Jan 30, 2025

I recommend this course for every one, who want to become data analyst

By Syed M T

Mar 11, 2023

It was truly an interesting course. Definitely the best for beginners.

By Gadang W

Feb 15, 2023

very good training, easy to follow, with helpful exercise and guidance

By Bhagyashree N

Mar 1, 2022

Great course, got hands-on understanding of data analysis using Python

By Venkata S

Dec 24, 2020

Excellent course for knowing Data Analysis insights and Hands on work.

By OLATUNJI O E

Dec 5, 2020

The structuring and delivery of this course is the best of the series.

By Cristian D A

Nov 17, 2020

Aprendí muchas nociones básicas de python enfocado a análisis de datos

By Anupam D

Sep 10, 2020

Fast track course for learning Exploratory Data Analysis and modelling

By KEE L E

Jun 20, 2020

Easy to follow with practical, relatable cases as coursework examples.

By Khar S Y

Jun 8, 2020

This course is really good for beginner whom have no basics in Python.

By Rama Y

Apr 4, 2020

Provide useful skills for industry-standard Data Analysis of real data

By Deleted A

Aug 2, 2018

Really helpful introduction to machine learning and predictive models!

By PJ G

Jun 14, 2023

Only downside is the rampant malicious grading with the peer reviews.

By Samuel N

Mar 5, 2022

Was a well directed,self explanatory course thanks to the instructors

By Rohan R

May 18, 2021

It was Great Learning. Thanks to IBM for creating such a good course.