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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
17,670 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.

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251 - 275 of 2,711 Reviews for Data Analysis with Python

By Daniela V

Nov 3, 2022

Excelente curso. Con ejercicios prácticos y un nivel más experto de Python explorando otras librerías mas complejas y con mayor aplicación en machine learning y estadística. La metodología del curso es muy dinámica y amena.

By Phil L

May 31, 2020

Really good course. More challenging than I expected. I expect it will take a few applications of the concepts to get them down 100%. Very good presentation of material. The labs were critical to learning the concepts.

By QUAN Z

Feb 25, 2019

The course perfectly fits those who has some knowledge on python and want to do data analysis with it. It explains how professionals would process data, build model with the data, and use the model to solve a real problem.

By Min T A

Mar 18, 2021

This course covers exploratory data analysis and even furthers onto machine learning with some key statistical introduction such as Linear Regression, Correlation, P-value, F-score, etc, explained in its most clear form.

By K58 L D Q

Sep 25, 2021

A very interesting and informative course. I have access to the foundational knowledge in using Python for Data Analysis. The labs are helpful as well. I know I can apply the lesson I've learned in real life, real work.

By Pranav K J

May 10, 2020

Very good course and well designed , so that a new person also can understand it very well. They way it is taught is admirable. I will recommend, the aspiring data science Engineer, must take this course specialisation!

By Jonathan I O

Jul 14, 2019

This course provides a robust walk-through in the use of python for data analysis. The labs ensure the theories taught are put into practice through hands-on projects that further reinforces skills learned. I loved it!

By Aman S

Mar 26, 2020

A very detailed course. The hands-on exercises were really good and I got to learn a lot of things from this wonderful course. Thanks to all the instructors for their hard work in putting together such a course for us.

By Yan Y L

Aug 28, 2022

The course structure is clear. I can recall the concepts learnt in the previous chapters on this course.

The Final Assignment rubic is clear. I know what I should hand in to prevent mark loss due to misunderstanding.

By Katja K

May 25, 2022

Really helpful course to learn the basics of pandas and scikit-learn. The videos were easy to follow and very clear, and they were complemented well with the lab notebooks and quizzes. Thank you to the organizers! :)

By hamidreza m

Sep 29, 2022

As a data scientist in retail industy I recommend this course to you because this course has lots of meaningful topics and educated professors are teaching you.

Hope you the bests and enjoy learning with Coursera!

By Paul A

Sep 24, 2020

I think this course is the highlight of the Applied Data Science specialization. I learned so much and gave me the tools to learn more on my own. It was really engaging and I never had a dull moment in this Course.

By Roseline A

Jul 9, 2020

This is a great course. I went away with so much knowledge on modelling and model testing. The labs are also very well structured and not just a repetition of the class presentation. I recommend this course highly.

By Ferenc F P

Feb 26, 2019

The beginning of the course helps you understanding how you can manage your data with python. In the end linear regression, and ridge regression is also introduced. Good course for those not familiar in this field.

By Carlos A P

Aug 30, 2018

Excellente content and very didactic laboratory. There is a lot of information in the course and at the same time it encourages me to investigate and further develop, particularly in Model Evaluation and Refinement

By Brian B

Dec 5, 2020

Very "meaty" hands-on work with doing some data wrangling, exploratory analysis and models with single linear, multiple linear, and polynomial regression fits. I took several hundreds of lines of code in my notes.

By Ashutosh P

Apr 29, 2019

Thank you so much for creating this is great learning and useful course that I got for Data Analytics.This course is very beneficial for all to enhance the knowledge about data analysis with Python.Thank you sir.

By N V

Jun 28, 2020

I find the course well organized and the lab sessions made use of relevant instruction that I can use for my daily work. The final assignment could be more challenging. Overall a very helpful learning experience.

By Ram A

Apr 20, 2020

Excellent explanation about the topics and helpful examples. Course requires reading outside the course module for better understanding. Will be helpful, if you could run the program on the window and explain us.

By Aditya A M

May 22, 2022

Extremely helpful course for those who are new to the terms of machine learning concepts are well explained and sufficient practice taken in Lab modules and the last peer-graded assignment helped me learn a lot.

By Daniel L

Oct 13, 2019

A rotating three-dimensional plot may be added. Its very easy and practical to complement the analysis presented. Otherwise the course is very complete.

Also, the pipe explanation may be improved a little bit.

By Ricardo R M

Oct 16, 2022

This course provided me with the necessary knowledge and tools to introduce me to the field of creating and evaluating data analysis models to make predictions with Artificial Intelligence and Machine Learning.

By Seemant T

Apr 24, 2020

I am reviewing this course after the completing it. It was a good learning experience!!

The entire course is based of the student interaction and requires basic knowledge of Python and its Libraries.

ThankYou..

By Farideh F

Aug 4, 2023

Thanks! Overall, it was a good experience learning Python with Coursera. Some quizzes and assignments need to be improved, but overall, it was great. Thanks to Coursera for all the support and financial aid.

By vrushabh l

May 7, 2020

Very good course to begin with in the field of Data Science. The analysis of data is very important before we start implementing predictive models on the data, which has been covered very well in the course.