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

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.

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.

Filter by:

1026 - 1050 of 2,898 Reviews for Data Analysis with Python

By Anna L

May 5, 2020

Excellent course, lots of theory and practical excercises

By sumit g

Jan 5, 2020

The course architecture was very fluid and easy to learn.

By Ratheeshwaraa K ( t F l

Aug 14, 2019

It helped me a lot to start my role towards data science.

By sandeep r

Oct 24, 2018

Very good explanation of concepts using a perfect example

By Chengbo S

Sep 10, 2024

Great! It broke down the big difficulty into small steps

By Дандыбаев Ж Е

Mar 28, 2023

Very useful and easy to start. I really like this course

By Anurag S

Sep 13, 2021

PPerfectly Presented and Smoothly explained the concepts

By Balasaheb G

May 19, 2021

Very good course for starting Data analysis with Python.

By Roger P

Dec 5, 2020

Buen curso para iniciar en el mundo de ciencia de datos.

By Gaurav P

Aug 22, 2020

Great for beginners who are interested in data analysis.

By Ahmed A

Jul 27, 2020

Amazing course. Very well structured and well organised.

By Ramana G

Jun 25, 2020

Thank you for the course content and excellent delivery.

By Priyam P

Jun 22, 2020

This is a good for beginners. It teaches all the basics.

By Mauricio P

Apr 16, 2020

Good start to learning about linear regression in Python

By Samip T

Mar 1, 2020

Exceptional course. Kudos to the instructors. Thank you.

By Leehyungjoon

Feb 20, 2020

Strongly recommend if you need basic knowledge of python

By Tianhui G

Jan 12, 2020

Very nice combination with statistics and data analysis.

By MOHANAKRISHNAN V

Mar 22, 2019

VERY GOOD I HAVE LEARNED NEW THINGS THANK YOU VERY MUCH

By Deleted A

Mar 13, 2019

The best gentle intro on creating and evaluating models.

By SONAL C

Mar 9, 2019

Complete coverage for all important topics with examples

By MD M H

Feb 4, 2019

It was one of the hardest course among all the courses.

By Sopheap H

Jun 18, 2024

Very practical course. I would recommend other to take.

By Duy C T

Jan 26, 2024

The course is very informative and useful! Many thanks!

By Vishaal S

Aug 25, 2023

Good course and concepts are really easy to understand.

By Verónica E A M

Feb 22, 2023

Very well explained, good start to expand the knowledge