Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,872 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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By MOHAMMED N

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Feb 24, 2024

Nice

By Jomya M G

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Oct 12, 2023

good

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Sep 18, 2023

good

By Hamza A

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Sep 1, 2023

well

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Aug 17, 2023

Good

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Jul 7, 2023

good

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May 28, 2023

good

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May 4, 2023

good

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Mar 27, 2023

good

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Mar 17, 2023

nice

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Feb 10, 2023

amma

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Jul 27, 2022

Nice

By Kevin L

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May 3, 2022

Good

By Dokuparthi A

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Apr 28, 2022

GOOD

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Apr 26, 2022

Good

By 121910309055 K S D

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Apr 25, 2022

good

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Feb 28, 2022

nice

By Omar C V L

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Feb 14, 2022

Good

By Mohamed E

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Oct 27, 2021

good

By Satish w

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Sep 28, 2021

good

By Pradeep K

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Sep 13, 2021

Good

By Md. S I S

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Sep 11, 2021

nice

By Isabella A T

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Sep 6, 2021

Good

By Kofi D

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Aug 17, 2021

good

By Yuqi X

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Aug 3, 2021

good