Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,138 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鈥檒l 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鈥檒l build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you鈥檒l 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鈥檒l not only develop strong data analysis skills but also earn a 糖心vlog官网观看 certificate and an IBM digital badge to showcase your achievement....

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.

Jan 31, 2022

This is totally one of the hardest course I've ever taken on 糖心vlog官网观看. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

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2601 - 2625 of 3,018 Reviews for Data Analysis with Python

By Aman R

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Jun 19, 2022

It was such a great experience learning.

By Javier I R

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Dec 27, 2021

Easy, fast. A good course for beginners.

By Moussa S

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Apr 26, 2020

Excellent ! Helped me discover new tools

By Harshil G

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Apr 30, 2020

It's very good start into data science.

By Atuhaire E

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Sep 18, 2022

Very mind challenging but insightful

By 螖畏渭萎蟿蟻畏蟼韦

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Mar 2, 2022

It was a beneficial lesson generally.

By Oladeji S O

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May 13, 2020

Wonderful course, I really enjoyed it

By Lovely K

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Jun 15, 2022

this course is very important for me

By ASMITA K

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Oct 6, 2019

Average Course with simple learning.

By MK S

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May 2, 2020

linkage between each module require

By Alpha Z

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Feb 2, 2020

Too easy. Make it more challenging!

By Sachin G

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May 30, 2019

should have more thorough examples

By Liliana R (

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Nov 15, 2018

There are some errors in the labs

By Rauf S

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Apr 9, 2020

you can explain more efficiently

By Jos茅 C D S

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Jun 7, 2019

It took me longer than estimated

By Edoardo B

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Jan 13, 2019

Missing a Peer-reviewed exercise

By ABHISHEK A

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Jul 22, 2018

Where good to start for beginner

By Hamid R

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May 18, 2025

tr猫s int茅ressant et tr猫s riche.

By Ruchika G

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Dec 25, 2022

best course for basic concepts.

By Sripriya D

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Jul 20, 2020

it felt very dry for some parts

By Jignesh P

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May 12, 2020

Great Learning from this course

By Joseph S

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May 4, 2020

Modules 4 & 5 need more detail.

By Rizwan N T

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May 30, 2023

good course, i would recommend

By NIMMAKAYALA S

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Apr 5, 2023

good for data analytics course

By Shamik K

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Dec 28, 2020

Diff course but well planned !