Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,618 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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1251 - 1275 of 2,912 Reviews for Data Analysis with Python

By 18-1245

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Jun 29, 2020

this course provides a great skills in ds

By Alexandre d C P

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Apr 15, 2020

I really like this course, teach so much.

By Heera K

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Apr 12, 2020

Awesome course for a very good foundation

By Mahendra S

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Jul 12, 2019

Very useful and nicely explained content.

By Ankit G

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Jan 3, 2019

Good program for new Learners, thank you.

By Bhuvana P K P

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Nov 24, 2018

Informative course which is easy to learn

By Mohammed Z A

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Aug 1, 2018

Thank you coursera & IBM for this course.

By Amrachu A

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Jun 5, 2023

Helpful and informative training project

By Udegbunam K V

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Jul 24, 2022

a very good course with hands on project

By Jorge H R U

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Sep 20, 2020

Excellent course and great labs. Thanks.

By Assem S

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Aug 7, 2020

Really good course! Thank you very mcuh!

By José A P C

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Jun 6, 2020

Excelente curso... excelente metodología

By Edwar A H S

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May 16, 2020

Buen curso, muy didáctico e interesante.

By Pedro L A A

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Feb 14, 2020

En general muy bien explicado y conciso.

By 김경윤

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Aug 18, 2019

The course was very helpful for practice

By Fernando L I

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Jul 23, 2019

Very interesting, challenging and useful

By pawar p

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Jun 29, 2019

Good course with detailed explainations.

By Girish O

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Oct 8, 2018

Good Start for Data Analysis with Python

By vignaux

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Jul 11, 2018

Great Course. Practice and learning deep

By Vijay S

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Apr 10, 2023

I enjoyed this course and learned a lot

By Dr. A K

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Feb 11, 2021

i get lot of knowledge from this course

By Luis B

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Sep 16, 2020

Very good material. I enjoyed doing it.

By Paul S

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Jul 4, 2020

you learn a lot of practical tool uses!

By Gustave M

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Jun 7, 2020

Excellent tool and reference functions!

By Juan P A

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Apr 29, 2020

All this courses are so good for learn.