Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,452 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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1476 - 1500 of 2,884 Reviews for Data Analysis with Python

By Zhengweifan

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Sep 25, 2019

lab materials are helpful

By Vivek K

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Sep 22, 2019

Great Hands-on Experience

By Maikel R P d S

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Jun 25, 2019

Delighted with the course

By renwenlong

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Apr 23, 2019

通过这门课程, 我学到了很多关于数据分析方面的方法

By Juan D C G

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Mar 29, 2019

Easy but very instructive

By Zulfiqar A

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Jul 24, 2023

Great Course Must Attend

By PRATYUSH A

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Feb 18, 2023

It was an amazing course

By MOHAMMAD A

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Oct 29, 2022

good for data analysis.

By Sin X

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Apr 27, 2022

Excellent course content

By José G J

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Oct 18, 2021

Excellente course! 10/10

By Hassan y

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Aug 3, 2020

This is a helpful course

By Yu J

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Jul 12, 2020

Very good course design.

By Ahmed N

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Jun 19, 2020

The Lab was very helpful

By Oleksandr T

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May 13, 2020

Great course! Thank you!

By embashosho

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Apr 18, 2020

Really helpful materials

By SACHIN R

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Mar 24, 2020

Nice course for beginner

By Farrukh N A

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Oct 3, 2019

Good Course, Must for ML

By Steve M

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Jul 12, 2019

Another great course....

By RICHARD J F

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May 14, 2019

FANTASTIQUE VRAIMENT !!!

By Vay R

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Sep 13, 2018

Amazing course. Best yet

By Darius A

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Dec 28, 2023

Cours très bien élaboré

By Ahmed A

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Sep 27, 2023

thanks for your support

By Elena G

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May 25, 2023

Thank you! Great course

By BHUSHAN D

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Jun 16, 2022

One of the best course.

By Vikas S P

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Jun 10, 2022

Good course for beginer