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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,624 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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451 - 475 of 2,913 Reviews for Data Analysis with Python

By Deleted A

Nov 29, 2022

The course is well structured with excellently understandable instructions. The practice tasks are suitable for beginners like me. Thank you!

By Mariia G

Jun 26, 2020

Excellent course, provides all the needed information, practical examples. The way how material is presented is very convenient for learning.

By Uzair A

Apr 2, 2020

Very well thought out course to help someone kick-start their career in data science/analysis. Really loved the videos and the lab exercises.

By Ramanuj M

Dec 26, 2019

The course gave a brilliant insight into data analysis using Python. Some issues related to deprecation will hopefully be resolved with time.

By Juan J L M

Apr 25, 2020

The couse was good but final assignments were wrong, I request teacher to perform the grades because my final % of the course can be higher.

By Lekobane T

Jul 10, 2024

I FEEL LIKE I AM MASTERMIND NOW. dATA ANYLISIS IS A LOT OF WORK BUT IS SO CHALLENGIND AND FUN... Thank you so much Coursera for everything.

By Reinaldo P B

Jun 18, 2024

Excellent course!!! I have learned a lot from the experts!!!! Eternally grateful to all the teachers for their delivery and dedication!!!!!

By EDINSON A R D

Feb 27, 2020

For the begginer this is an excellent start in data analysis. Helpful examples and tools to make the course really interesting and complete

By Melonica M

Jun 23, 2020

Well crafted course with easy to follow lab to learn the concepts. Great course were prepared by the tutor Joseph Santarcangelo. Thank you

By Sweta G

Jan 25, 2020

It was a wonderful course. They have explained all those hard concepts in a pretty easy way.

Thank you team for clearing all the concepts!

By alejo o m

Sep 14, 2022

This is really helpful when it comes to data analysis, it teaches you all you need to know to begin with as a data analyst using python.

By Chew W T

Sep 3, 2021

love how the content is organize and deliver in this course. Suitable for people like me who have no prior experience in Python. thanks!

By Sivamurugesh A

May 3, 2021

This is such a great course for data analysis giving details of the different python modules for regression and other model training etc.

By Jorge A I A G

Feb 1, 2021

Excelente curso, gracias al laboratorio y ejercicios guiados es fácil comprender la teoría vista en los módulos, totalmente recomendable.

By Devaashish S

Dec 26, 2019

Hard work, patience and perseverance is the key to complete the course.

Awesome content but require rigorous attention for accomplishment.

By Pablo V V

Mar 8, 2019

I feel i need more exercises to be more fluently on coding. It would be useful to memorize all those commands. Thank you for your course.

By Jazib A K

Jul 20, 2024

my all the concept are cleaned now about machine learning the way you teach was fantastic I will be back for another course great job.

By Muhammad N S

Jul 21, 2022

It was a great experience learning from coursera. Every thing they explained look very easy. The teaching was great. Thank you coursera.

By Chirag S

Apr 23, 2020

The instructors were very good in explaining the concepts. It was a great experience. I would recommend this course for my fellow mates.

By Ishita A

Apr 14, 2020

There are minor inconsistencies with the course but once you get started with the lab practice you'll be able to find them out yourself.

By Ela D

Feb 18, 2021

Great content and clear explanation, made data analysis with python easy to apply by step by step excamples! Thank you for this course!

By Abhaya K S

Feb 27, 2020

This is really a good course to do for all the data science enthusiasts. The content is really very good. Good explanation of concepts.

By Hassan A

Feb 16, 2020

Amazing course with amazing instructors. Practical labs were so awesome. Thank you Coursera and IBM for making million dreams possible.

By Ariful H K

Sep 11, 2019

Toughest and longest course so far for the IBM Professional Certificate in Data Science. Need to study more and give much time on Labs.

By chang l

Jun 15, 2019

This course is much better than " python for data science", much more clear and detail. This course should be learned before that one.