Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,518 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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2501 - 2525 of 2,896 Reviews for Data Analysis with Python

By Sachin G

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May 29, 2019

should have more thorough examples

By Liliana R (

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Nov 14, 2018

There are some errors in the labs

By Rauf S

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Apr 8, 2020

you can explain more efficiently

By José C D S

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Jun 7, 2019

It took me longer than estimated

By Edoardo B

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Jan 13, 2019

Missing a Peer-reviewed exercise

By ABHISHEK A

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Jul 22, 2018

Where good to start for beginner

By Ruchika G

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Dec 25, 2022

best course for basic concepts.

By Sripriya D

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Jul 19, 2020

it felt very dry for some parts

By Jignesh P

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May 12, 2020

Great Learning from this course

By Joseph S

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May 3, 2020

Modules 4 & 5 need more detail.

By Rizwan N T

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May 29, 2023

good course, i would recommend

By NIMMAKAYALA S

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Apr 4, 2023

good for data analytics course

By Shamik K

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Dec 27, 2020

Diff course but well planned !

By Trang N D N

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Feb 28, 2020

there are some bugs in the lab

By Igor G

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Jun 5, 2019

No linter was used by authors.

By Lalaine J B

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Jul 28, 2024

still didnt receive the badge

By JAWALGEKAR S S

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Feb 20, 2020

it was worst experiance !!!!!

By VIGNESHKUMAR R

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Dec 22, 2019

Good but need to improve labs

By ANJALI T

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Nov 22, 2023

Good oppotunity for learners

By Midastouch m

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Jul 15, 2020

labs can be more explanatory

By Tyler X

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May 8, 2019

It's a little hard to learn.

By A A A

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Apr 13, 2020

Fantastic coding experience

By Eslam G M I

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Feb 2, 2019

This course taught me a lot

By FREDRICK S

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Oct 29, 2023

This is an amazing courses

By Nagendra K S

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Jun 30, 2022

Good Course to start with.