Chevron Left
Back to Data Analysis with Python

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

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:

651 - 675 of 2,896 Reviews for Data Analysis with Python

By William F

Oct 24, 2019

Great hands on experience with python implementing fundamental analytical processes with data sets.

By Pepe R

Sep 23, 2024

Certainly challenging, but also enjoyable, instructive, and propelling onto the next step, thanks.

By Wuilmer P

May 4, 2020

Excellent way of explaining! I like the narrative along with the graphics rather than someone face

By Mayurkumar S

Jul 7, 2024

The design of course and content is very structured. I appreciate the content quality of Coursera

By rishab p

Aug 30, 2022

Eexceptional content, very easy language, and easy to understand, very good course for beginners

By Prashant B

Aug 26, 2022

I agree that my feedback may be viewed by the Coursera community, in compliance with the Coursera

By 2K18/BT/035 S D

May 31, 2022

A good course to get you started with the data analysis using python and various python libraries

By Ajin

Aug 25, 2021

Amazing course. Thought from zero to advanced beginner level concepts. Really super for beginners

By Timothy S

Apr 12, 2020

Great course. Cuts the BS and gets straight to the point. Also very effective in course outcomes!

By cavillacvc 1

Jan 22, 2020

Curso que cubre de manera completa lo necesario para iniciarse en el mundo de la Ciencia de Datos

By Akash V

Sep 10, 2019

Such a complex and effective course with good course work. Thank you for teaching me this course.

By Thomas A

May 30, 2019

Really enjoyed all the different type of models and the statistical evaluations for those models.

By Amogh K

Jul 29, 2020

Very good course!! great stuff, could've been even better if the questions had been a bit harder

By JUAN J T R

Jul 4, 2020

Good introduction to data manipulation and analysis of data. Good extra tools of platform (lab).

By Nikhil A

May 5, 2020

A great introductory course to learn more about python , data visualization & Regression basics.

By AC

Nov 15, 2019

Great Flow... Suggest to carefully go through at slower pace and repeat to clear the concepts...

By Liu C

Mar 6, 2019

very good course, i now know for about how to analyze data and find the right model for analysis

By Sheikh F

May 21, 2024

A professionally explained course. It helped me to learn and advance on my Data Science journey

By Abenezer E B

Feb 8, 2024

Thank you, this is very helpful. I love the hands-on experience in the lab and the cheat sheet.

By A A

Aug 3, 2023

Very easy to follow for beginners. Excellent course. Thank you to all the instructors and IBM !

By HAITAM B

Aug 16, 2022

Cours riche en théorie et pratique . Bien présenté et bien expliqué.Bravo Coursera et Bravo IBM

By Daniel P

Jan 23, 2022

Loved it. Took so much out of it. I have a broader overview of the data science life cycle now.

By MAURICIO C

Jan 14, 2021

this is specially for understand the sources of plotting and determinate the best Model to use.

By Chin-hui W

Dec 18, 2020

This course is very helpful so that I have basic understand and skills to analysis with Python.

By Ilia S

Jun 29, 2020

The course provides a basic understanding of data analysis and basic tools for proper operation