Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,528 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 19, 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.

May 5, 2020

I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.

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By PIYUSH B

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Sep 10, 2024

GOOD

By SONAJI S B

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Sep 10, 2024

GOOD

By T K

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Aug 30, 2024

good

By Narayan B

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Aug 21, 2024

nice

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good

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Aug 6, 2024

good

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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

good

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Jun 6, 2024

good

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Jun 1, 2024

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By Mark J

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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

By Husan S

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May 13, 2024

GOOD

By MOHAMMED N

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Feb 24, 2024

Nice

By Jomya M G

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Oct 12, 2023

good

By MUHSIN I

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Sep 18, 2023

good

By Hamza A

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Sep 1, 2023

well

By Azeez Y

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Aug 17, 2023

Good

By surya a

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Jul 7, 2023

good