Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,026 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.

Feb 13, 2020

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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By Siham

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Nov 16, 2024

amazing

By Rustam S

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Jul 13, 2024

Amazing

By Nho C D

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Apr 9, 2024

usefull

By ADEEBA R 2

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Jul 8, 2023

Perfect

By Sirojiddin D

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Apr 3, 2022

awesome

By Raghavendra S K

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Sep 14, 2021

amazing

By yuebin l

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Feb 21, 2021

amazing

By Esteban O

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Oct 25, 2020

Usefull

By Harsha G

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May 7, 2020

AWESOME

By Zakaria E

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Apr 25, 2020

awesome

By Alejandro A

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Apr 24, 2020

Great!!

By Yu M C

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Dec 10, 2019

Awesome

By Patkari H B

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Jun 16, 2019

Awesome

By Will C

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Apr 18, 2019

perfect

By Soumya R B

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Dec 13, 2018

Awesome

By Sergejs S

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Oct 23, 2018

Thanks!

By Pham T H

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Oct 8, 2024

Great!

By S A B A

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Jul 28, 2024

賲賲鬲丕夭赖

By Martha B G R

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Mar 25, 2024

Great!

By a. y

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Oct 23, 2023

thanks

By AHMED A I M

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Nov 23, 2022

GOOOOD

By Amber V

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Aug 13, 2022

awsome

By Kehinde D

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May 23, 2022

Great!

By Zijun H

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Apr 30, 2022

Great!

By Abul B

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Feb 23, 2022

thanks