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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,235 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

LM

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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

AB

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Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

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626 - 650 of 2,855 Reviews for Data Analysis with Python

By Ayushman H

Jun 23, 2024

very good course with good explanation and labs. Almost covers the important aspects of data science.

By Dhanesh T

Aug 15, 2022

Excellent course for understanding the various aspects of Data Analysis from a beginner's standpoint.

By ASHFAQ H

Aug 10, 2021

Very hand-on course which gives insights on the methods of analysis using python, highly recommended.

By Ashwin S H

Feb 13, 2021

It was a very insightful and informative course! It increased my interest in python and data science.

By Thanh N N

Mar 11, 2019

This course provide appropriate knowledge for data analysis. I learned more from this course. Thanks!

By Cameron B

Feb 22, 2019

I am going to respond to the mathematical question posed in forum. just been busy. great course tho

By Ekaterina Z

Mar 11, 2022

A very good course. Provides insight into statistics and Python tools for statistical data analysis.

By Masoud R

Dec 7, 2021

Greatest Data Analysis Course on the internet. Kudos to all producers and contributors of the course

By Salil R

Jun 24, 2020

It was pretty interesting to go over. Learnt lot about Modeling & Evaluation.

Thanks to the faculty.

By J K

May 24, 2020

So proud of myself! I did it. Now, I have enough confidence to tackle problems in the world of data!

By LAURA I O E

Feb 14, 2020

This is a really good course, every subject was clearly explained. I appreciate the way they did it.

By Koushik K

Oct 18, 2019

This is one of the most in-depth courses of the entire 9 course program. Lab sessions are excellent.

By Yogesh G

Mar 6, 2019

This course help me in my future career and the learnings was all good which were above my thinking.

By Marius-Liviu B

Dec 20, 2021

The course if focused on Pandas and Scikit-learn. I was amazed by data modelling with Scikit-learn.

By Murat K

Sep 27, 2021

The instructor explains well those complicated issues in a way that everyone can easily understand.

By Ignacio G

Jul 27, 2021

Muy bueno, he aprendido mucho, aunque creo que va a un ritmo un tanto acelerado en algunas partes.

By Giuseppe P

Aug 4, 2020

I enjoy this course. The lab hand-on exercises explain the concepts and coding procedure very well!

By TING T Y

May 28, 2020

I enjoy this course. The lab hand-on exercises explain the concepts and coding procedure very well!

By Bandhela A C

Jan 20, 2020

It gives a great idea over looking dataset, playing with it analyzing anddoing predictive analysis.

By Karen M

Jan 14, 2020

A lot of information presented in a concise format that was easy to follow. Labs were very useful.

By William F

Oct 24, 2019

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

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

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