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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
17,693 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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276 - 300 of 2,715 Reviews for Data Analysis with Python

By Mustaquim A

Mar 29, 2023

This was a great course and I learnt a lot about data analysis. Instructions were very clear and precise and the course overall was amazing. Recommended Highly who are beginners or intermediate in python.

By Gerson C H

Feb 5, 2020

Its a great introduction a clear explanation about Machine Learning, generation of linear regression models and all the things to do before to the analysis front the data. I'm very excited and gratefullnes.

By Victor A d S

Jun 13, 2022

Even though I know a little about pandas, with this course I was surprised and I was able to learn even more, besides, the examples of statistical tests that are essential in data analysis are very useful.

By Magesh J

May 27, 2021

A fast and quick way to get into the data science using Python. The program includes well defined Jupyter notebooks which can be printed out and used a reference. The videos are short and well presented.

By Daniel K

Oct 25, 2019

Grate course. Really straight forward. I live the design of this course (a lot of quizzes to harden knowledge). I couldn't find any code for box plot during course and I had to make one during assignment.

By Nima G M

Oct 4, 2020

One of the greatest courses to become familiar with different Python libraries for machine learning, more specifically, the Pandas library, in which we should have the ability to work with "dataframes".

By Mahmoud E

Jun 7, 2023

thanks for the powerful content and the knowledge that was shared in the courser i hope that course ill help me in my career and find the first work as data analysis engineer, thanks for the instructor

By Souparna C

Jan 7, 2021

I'm really over-whelmed!...And I mean it. After completing this course one can get a clear insight of data. All topics are clearly explained. All lectures and labs are well structured. Thanks Team IBM!

By Saravanan S

Jul 2, 2020

This course is very good and it covers all the fundamental concepts used by pandas and numpy. It covers the linear regression, ridge search, grid search, polynomial regression and Pipeline construction

By Dominique D

Apr 6, 2020

It gives a very good introduction on most of the basic statistical methods. It is a bit challenging to absorb it all, but all by all very doable. I enjoyed this one and learned a lot from it! Thank you

By Carol L

Apr 22, 2020

Me gustó aprender procesos de análisis de datos, algunos un poco complejos de entender pero se saca el tema. Seria bueno colocar algunas referencias para ir mas en detalle en algunos puntos complejos.

By Alyona M

Apr 17, 2023

Thanks for course! I met some errors, described them in your forms. I liked every models, but the final assignment was not interesting. I think it can be done better, with decisions and conclusions.

By Md. A A

Dec 1, 2020

A compact course. Good one who want to learn within a short period of time. But if one wants to understand the topics well, then he/she should go through the documentation of respective libraries.

By Carlos D

Apr 15, 2020

Great Introduction to Data Analysis, the concepts going from the basic to deep in data-testing and data-training, as well as several applications linear and polynomial regression to data analyze.

By Richa S

Jan 29, 2023

I am learning so much from this course. Video lectures are very easy to understand and the labs are interactive.

My heart full gratitude to all the team of Coursera for providing valuable course.

By Adegbuyi M A

Dec 9, 2021

Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course.

I appreciate the coordinators in making it possible. Thank you.

By Brian k

May 9, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

By Syed I A

Sep 6, 2023

Wonderful course, explained everything in the most easiest way possible. BUt hte module 4 and 5 ffeels kinda hard for a person who is not familiar with data visualization and machine learning.

By sapna y

May 23, 2020

Data analysis with python has a high standard of content.I hope this is useful for me to crack DS interviews.The content is well structured.Quizzes,assignment and video lectures are corelated.

By Wolf Z

Nov 8, 2020

A great introduction to fitting data in python.

The core principles and measures are well explained.

The only slight minus point: No information about the interpretation of fitting parameters.

By ALFIYA K

Jun 14, 2019

Enthralling and motivating course! Lectures and practices are conveniently balanced! Labs are so excited and realistic! Many thanks to all creators and teachers for such kind of awesome job!

By Hao H

Sep 10, 2020

Well arranged course that covers the essentials statistics with Python. But be aware this is an elementary course that may be a little too easy for those who have experiences in statistics.

By Juan E F A

Feb 15, 2020

It was an excellent way to begin in the path of data science. I really enjoyed all the knowledge they shared. I'd lie if I say that it was a piece of cake, but it wasn´t impossible, either.

By Narasimhan, S

May 25, 2020

This was a good course to understand some of the analysis concepts that are available.I would rate this course for anyone who wishes to have a good foundation of Data Analysis with Python.

By Dr. J N

Apr 17, 2020

This course precisely and comprehensively covers important aspects of Data Analysis with Python. I strongly recommend this course for those who are serious about Data Science using python.