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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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By Абдуманонова А

Jun 6, 2024

good

By malohatsamcity

Jun 1, 2024

GOOD

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May 31, 2024

Nice

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May 28, 2024

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May 27, 2024

GOOD

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May 26, 2024

GOOD

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Feb 24, 2024

Nice

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Oct 12, 2023

good

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Sep 18, 2023

good

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Sep 1, 2023

well

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Aug 17, 2023

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Jul 7, 2023

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May 28, 2023

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May 4, 2023

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Mar 27, 2023

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Mar 17, 2023

nice

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Feb 10, 2023

amma

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Jul 27, 2022

Nice

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May 3, 2022

Good

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Apr 28, 2022

GOOD

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Apr 26, 2022

Good

By 121910309055 K S D

Apr 25, 2022

good