Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,446 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

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.

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.

Filter by:

2476 - 2500 of 2,884 Reviews for Data Analysis with Python

By hayoung_lee@kbfg.com

•

Apr 7, 2020

Easy to follow. Comprehensive explanation.

By ahmed f

•

Jan 18, 2019

concepts were not explained very carefully

By KONDAPALLI N K

•

May 13, 2020

Excellent course with detail description.

By manish c

•

Mar 28, 2020

Best data analysis course for beginners .

By Krishnaraj S B

•

Jan 21, 2023

very tough course not for begginer level

By Hardcore G

•

Jun 18, 2022

It was such a great experience learning.

By Javier I R

•

Dec 26, 2021

Easy, fast. A good course for beginners.

By Moussa S

•

Apr 26, 2020

Excellent ! Helped me discover new tools

By Harshil G

•

Apr 29, 2020

It's very good start into data science.

By Atuhaire E

•

Sep 17, 2022

Very mind challenging but insightful

By Δημήτρης Τ

•

Mar 1, 2022

It was a beneficial lesson generally.

By Oladeji S O

•

May 13, 2020

Wonderful course, I really enjoyed it

By Lovely K

•

Jun 15, 2022

this course is very important for me

By ASMITA K

•

Oct 6, 2019

Average Course with simple learning.

By MK S

•

May 2, 2020

linkage between each module require

By Alpha Z

•

Feb 2, 2020

Too easy. Make it more challenging!

By Sachin G

•

May 29, 2019

should have more thorough examples

By Liliana R (

•

Nov 14, 2018

There are some errors in the labs

By Rauf S

•

Apr 8, 2020

you can explain more efficiently

By José C D S

•

Jun 7, 2019

It took me longer than estimated

By Edoardo B

•

Jan 13, 2019

Missing a Peer-reviewed exercise

By ABHISHEK A

•

Jul 22, 2018

Where good to start for beginner

By Ruchika G

•

Dec 25, 2022

best course for basic concepts.

By Sripriya D

•

Jul 19, 2020

it felt very dry for some parts

By Jignesh P

•

May 12, 2020

Great Learning from this course