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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,235 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

LM

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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

AB

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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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1976 - 2000 of 2,855 Reviews for Data Analysis with Python

By krishna k

Aug 20, 2024

good

By محمد ن ف ا

Aug 6, 2024

good

By Suggar A S N

Aug 5, 2024

NICE

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Jul 4, 2024

Nice

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Jun 15, 2024

GOOD

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Jun 7, 2024

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Jun 1, 2024

GOOD

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May 31, 2024

Nice

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May 31, 2024

good

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May 28, 2024

good

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May 28, 2024

good

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May 26, 2024

GOOD

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May 26, 2024

GOOD

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May 13, 2024

GOOD

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Feb 24, 2024

Nice

By Jomya M G

Oct 12, 2023

good

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Sep 18, 2023

good

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Sep 1, 2023

well

By Azeez Y

Aug 17, 2023

Good

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Jul 7, 2023

good

By JAYARATHNA M N M G

May 28, 2023

good

By Mohamed A

May 4, 2023

good

By TANNERU V 3

Mar 27, 2023

good

By Aymane M

Mar 17, 2023

nice