Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,032 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.

Jul 29, 2020

AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.

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2551 - 2575 of 2,994 Reviews for Data Analysis with Python

By Neelam S

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Jan 3, 2020

Examples should contain more codes used frequently.

By ZJ Y

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Oct 1, 2019

it might need updating according to the new version

By Eirini K

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May 21, 2020

Quite good to begin with, but not going in depth.

By Hui Z

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Sep 26, 2019

Good resource to have a knowledge of pandas, etc.

By Deepratna A

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Jun 25, 2019

Time and topic depth are not proportional at all.

By Patricia W

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Aug 24, 2020

I thought it should be a little more assistance.

By khaled C

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Apr 22, 2020

There are some little mistakes in the notebooks.

By Malege T M

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Aug 26, 2019

A thoroughly impactful and well presented course

By D T

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Apr 14, 2023

Great exexamples and practice questions. Thanks

By Sachin M

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Jun 29, 2021

Need more details other-wise very good course.

By Hussain T

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May 1, 2019

a good course but its not going deep in things

By Serdar M

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Nov 16, 2018

would be better if there were more exercises.

By SARAVANAN M

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Aug 18, 2021

Not very easy to understand the coding part.

By Myrlene C

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Mar 16, 2021

Great Course.. It went a bit too fast though

By Shashank V M

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Apr 10, 2020

Simple as compared to real world challenges.

By Rohitaksh G

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Sep 20, 2019

Good Lab examples and thorough explanations.

By Ali N

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Jul 18, 2019

It was a good course. The labs were helpful.

By Balavignesh R C

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Dec 18, 2018

Good Understanding of Data Science concepts.

By Dolat P

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Sep 14, 2023

excellent

but i still can't get certificate

By Linh T

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Oct 31, 2022

I wish there're more explain and examples.

By Priyanka S

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May 31, 2021

Good course for beginners in data analysis

By Vishal A

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Apr 19, 2020

good course with almost all topics covered

By hayoung_lee@kbfg.com

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Apr 7, 2020

Easy to follow. Comprehensive explanation.

By ahmed f

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Jan 18, 2019

concepts were not explained very carefully

By KONDAPALLI N K

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May 13, 2020

Excellent course with detail description.