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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.

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476 - 500 of 2,898 Reviews for Data Analysis with Python

By Muhammad Z

Feb 21, 2019

One of the best course that I have taken. Starts from foundations and leaves you where you can be on your own in further discoveries.

By Amitangshu D

Dec 20, 2018

Just that some of the questions asked in videos were inappropriately timed, often at middle of sentences and words of the narration.

By OMKAR R N

Apr 21, 2020

very good and descriptive course . learned a lots of things . both programming and mathematical concepts . Labs are very helpful .

By uttam g

Apr 17, 2020

Great course for beginner

Learned lots of new things from this course .Being a beginner it was really tough but thanks to instructor

By Chris B

Apr 13, 2020

Great way to learn, at your own pace when it suits you. Course was well set out taking you from easy content to harder at the end.

By Harsh N M

Apr 11, 2020

Great learning experience with lot of quizs and assignment testing one's understanding. Waiting to learn and complete more courses.

By Peter G

May 29, 2019

Challenging, but very rewarding course with code that will help you with all your data science endeavors down the road. Thank you!

By guanyu w

Aug 8, 2020

super helpful this course i love the labs and also i found the professors of this course replied quickly about students questions

By Abhijit S

Feb 29, 2020

Very good for beginner. Explained at right pace and lab course and test ensures you understand the steps while able to reproduce.

By Rose C

Apr 19, 2019

I really like the last 4th and 5th sections for data model creation, analysis, evaluation and refinement. Very enjoy this course!

By Carlos A V S

May 26, 2022

Excelente curso. Muy bien explicado y conciso. Las evaluaciones son muy practicas y conceptuales. Me gusto mucho la metodología.

By Sahibjot S

Aug 8, 2021

I would recommend this course to the beginners in data science. This course explains very well how to analyze data using python.

By Ravi P

Apr 7, 2021

Would appreciate the team for a well designed course, which was easy to understand, and practical to apply the knowledge learnt!

By Annissa Z

Sep 10, 2020

This course is simple though practical to the real problem. It harnesses my fundamental skills on data analysis with practices.

By Shiv k

Jun 7, 2020

It was very informative and data analysis is explained from basic to high and the explanation of each and every topic was clear.

By Robert A

Aug 29, 2021

Great learning experience. A challenge that had me go back and review the material several times, and improve on my learning.

By ACHAL P

May 13, 2020

This course is really useful for those who exactly wants to know how data visualize and normalize and how we predict the data .

By Periklis K

Jan 2, 2020

This course is an essential fist step that you should follow if you want to get a good and thorough introduction on this topic!

By Alfonso P

Aug 22, 2019

Excellent Course, develops data Scientist skills associated with the methodology associated with the Data Science Certification

By AKHILESH Y

Apr 7, 2024

Excellent course with practical assignments and clear explanations, greatly enhancing understanding of data analysis concepts.

By Mayank S

Jun 4, 2020

This course has been very helpful for me. I've learned so much in this course. Thank you to the team for making this worth it.

By Kadir Y

Feb 13, 2023

hard to learn from scratch if you are a beginner but perfect to recap what you've learnt and can't get completely understood.

By Sze M C

Oct 22, 2021

awesome content, a quick summary for the pros, cons, purpose and comparison between the 3 main topics will help comprehension

By Samuel K N

Aug 23, 2021

This course is a little more specific coding wise, great to learn some of the principles behind model creation and analysis.

By Sagea T

Jul 31, 2018

It is a very challenging course, I would've like a course project to practice and utilize all the skills taught in the course