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Learner Reviews & Feedback for Data Analysis with Python by IBM Skills Network

4.7
stars
16,337 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

SC

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.

RP

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.

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1676 - 1700 of 2,482 Reviews for Data Analysis with Python

By Alejandro A

•

Apr 24, 2020

Great!!

By Yu M C

•

Dec 9, 2019

Awesome

By Patkari H B

•

Jun 16, 2019

Awesome

By chengwuquan

•

Apr 18, 2019

perfect

By Soumya R B

•

Dec 13, 2018

Awesome

By Sergejs S

•

Oct 22, 2018

Thanks!

By AHMED A I M

•

Nov 23, 2022

GOOOOD

By Amber V

•

Aug 13, 2022

awsome

By Kehinde D

•

May 23, 2022

Great!

By Zijun H

•

Apr 30, 2022

Great!

By Abul B

•

Feb 22, 2022

thanks

By Ishita

•

Mar 1, 2021

Great!

By Kasi V

•

Nov 1, 2020

Thanks

By Piriyapong W

•

May 25, 2020

Great!

By Purple M

•

Mar 21, 2020

great!

By Alberto T

•

Feb 28, 2020

Useful

By oussama r

•

Oct 12, 2019

Greaat

By Смолеевский В Г

•

Sep 14, 2019

Great!

By Adil S

•

Jan 27, 2019

zaebis

By Tuan P

•

Oct 31, 2022

nice

By 21083010111 I R A

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Oct 21, 2022

good

By Aravind R

•

Oct 15, 2022

good

By JAIPRAKAS G

•

Oct 10, 2022

good

By SONALI M

•

Oct 6, 2022

good

By Nightcore E

•

Jul 15, 2022

tuyệt

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