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.

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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2026 - 2050 of 2,993 Reviews for Data Analysis with Python

By Ishita

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Mar 2, 2021

Great!

By Kasi V

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Nov 2, 2020

Thanks

By Piriyapong W

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May 26, 2020

Great!

By Purple M

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Mar 21, 2020

great!

By Alberto T

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Feb 29, 2020

Useful

By oussama r

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Oct 12, 2019

Greaat

By 小屑芯谢械械胁褋泻懈泄袙袚

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Sep 14, 2019

Great!

By Adil S

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Jan 27, 2019

zaebis

By Karthik G

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Feb 5, 2025

great

By Pooja K

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Sep 13, 2024

goood

By Maaly M E H

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Jul 14, 2024

Great

By cathyxu

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Jun 1, 2024

Great

By M T E

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May 19, 2024

bravo

By Lahiru P

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Feb 3, 2024

Great

By KKAK K

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Nov 24, 2023

great

By Golamari m

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Oct 29, 2023

SUPER

By Veeramanikandasamy T

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Oct 9, 2023

Super

By DYLAN E

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Sep 18, 2023

tanks

By Tuan P

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Oct 31, 2022

nice

By 21083010111 I R A

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Oct 21, 2022

good

By Aravind R

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Oct 16, 2022

good

By JAIPRAKAS G

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Oct 10, 2022

good

By SONALI M

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Oct 6, 2022

good

By Nightcore E

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Jul 16, 2022

迟耻测峄噒

By Amol C

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Sep 6, 2021

great