Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,026 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 糖心vlog官网观看 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.

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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By bilibil

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Feb 18, 2021

10/10

By KIM T

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Feb 16, 2021

Great

By CS M L

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Jan 27, 2021

great

By Shreya M

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Oct 14, 2020

Great

By Rafiul A

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Aug 4, 2020

Great

By Pankaj S

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Jun 24, 2020

great

By Fernando P

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May 14, 2020

Nice!

By saiganesh g

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May 11, 2020

Happy

By Mauro M M R

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Mar 23, 2020

great

By kuncoro a n

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Jan 19, 2020

goood

By Diego B

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Dec 18, 2019

great

By Arnab C

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Aug 16, 2019

best!

By Kathleen P

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Jan 1, 2019

Great

By Nguyen M H

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Apr 5, 2025

good

By Md H R

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Mar 26, 2025

best

By Geetha K

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Mar 18, 2025

good

By Niladri P

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Feb 27, 2025

Good

By Dhanyashree S

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Dec 8, 2024

Good

By 2899_Aryan M

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Dec 6, 2024

Nice

By Thaniyamirsa A

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Dec 6, 2024

Good

By Sridhar M

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Dec 4, 2024

Good

By 2298_MONALISHA P

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Nov 23, 2024

good

By Ravi S

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Nov 21, 2024

good

By 袛芯褋褌芯薪袦

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Nov 18, 2024

Good

By Alejandra S M

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Oct 10, 2024

good