Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,528 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

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.

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.

Filter by:

976 - 1000 of 2,898 Reviews for Data Analysis with Python

By PRUDHVI

Jul 18, 2020

Heavy Brainstorming for Beginners and that's actually good :)

By Russel A

Jul 15, 2020

Excellent Lectures. A wonderful experience learning Analytics

By Anuj K

May 22, 2020

structured course to get started on data analysis with python

By Azman A

May 4, 2020

Great Content , balanced and well delivered to guide learning

By Vibhor G

Apr 29, 2020

Much needed course for those who are from a different fields.

By Friscian V C

Jan 20, 2020

best course so far! lot's and lot's of information, loved it.

By Siddharth C

Jan 13, 2020

The whole course was very interactive and easily understable.

By hassan s

Aug 19, 2019

Thank god - Nice course and good perception of understanding.

By Nagaraj V

Apr 3, 2024

Very elaborate coverage of the subject matter. Good insights

By Russell H

Sep 6, 2022

Great course with great example projects for analysing data

By Iwona

Mar 14, 2022

Good course about data analysis with python; I recommend it.

By CV V

Sep 13, 2021

Not yet receive Certificate Professional, Please issue to me

By Himanshu C

Jul 30, 2021

good structure of the course help to relate things very well

By B M S

Apr 10, 2021

Excellent course for analyzing data and regression modelling

By Amruta G

Jul 20, 2020

It is the best course for beginners to start with .Thank you

By Robin V

Mar 5, 2020

The course is well designed. Learned the concepts very well.

By Maaz A

Apr 14, 2019

One the very well defined and finest course I have ever seen

By Đức A V

Mar 25, 2019

At least, I have learnt something new at a very basic level.

By Matheus L T A

Mar 15, 2019

Great! Filled with lots of concepts and practical exercises!

By Muhammad R

Mar 9, 2019

Good Course ,learn mant things about Data science in details

By David C

Dec 19, 2018

This one was a little more difficult than the previous ones.

By Akshay S

Jul 26, 2023

Excellent Teaching and course content for Boost the Carrier

By jiayonghui

Jun 1, 2022

Very nice instructions and the lab portion is very helpful.

By Lương A

Sep 22, 2021

best course for who want to be a DA, De at biggining lever.

By Tuyen L T H

Nov 1, 2020

A very great course that I can learn much useful knowledge.