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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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2201 - 2225 of 2,715 Reviews for Data Analysis with Python

By Mr. S

May 1, 2023

Really good course, just that sometimes it seems it takes in big steps which may provoke some confusion.

By FILPE R F

May 29, 2022

It was a good course. However, in my point wiew, it was necesserary exploring the Pandas and Numpy more.

By Jonathan P d A

Nov 6, 2018

Great course with great classes. The exercises are not complex which makes the practical part less good.

By Lucian P

Dec 13, 2021

Great content but problematic when you need to use IBM Cloud platform that doesn't accept new accounts.

By Juan J F

Mar 22, 2021

An excellent introduction to the techniques to analyze data and do the validation, very clear exercises

By Venna R D

Feb 2, 2024

A very good and detailed explanation. A little bit of assistance in coding should improve in the labs.

By Akshay S

Jun 22, 2020

Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,

By Rajeev P

Mar 22, 2020

It was a good course. Learnt a lot of statistics and how to implement them in python from this course.

By Hung C T

May 1, 2019

Would be better if some underlying theory of advanced topics is covered, such as Ridge Regression etc.

By Nicholas F

Nov 24, 2020

It would be good if there were more practice opportunities. Overall a good class for familiarization.

By SHALIN S

Sep 16, 2020

week5-6 labs were tough for writing own code and for understanding. However for awareness, it was OK.

By Viwan J

May 24, 2019

It is a good course but -1 star because many typos/errors/unclear tasks in the assignment submission.

By Aisha P

Jul 26, 2022

I am fully satisfied with this course.this course helhed me to enhance my skill just awesome course.

By Vicente C L F

Nov 18, 2019

Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.

By Stéphan D

Mar 6, 2022

Some technical problems with IBM watson while doing the course. Questions could be more difficult.

By Ivan L

Dec 9, 2021

Final Assignment is Ok, theory esp. some of the quizes subject for improvement (to make it perfect)

By Juan D M G

Jun 17, 2020

Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.

By Shrinidhi S

May 9, 2020

My assignments with the correct answers were only given partial marks.Pls do the need for the same.

By Daniel O V

May 6, 2020

I think it should have a higher level of difficulty, not so much more difficult but a little more.

By Fab T

Jan 30, 2019

Great! Still thinking in go back to review the details that maybe I missed.. But excellent course.

By Abdullah T A

Jan 18, 2022

The stuff in week 5 confused me a lot. but other than that it was great. especially lab sessions

By Reinhard H J

Oct 18, 2019

I learned some new things, but I think more attention should be given to the theoretical aspects.

By Nur C N

Jul 11, 2019

Too much information in one course, it's good but need to be put more example to make it clearer.

By Adrian A

Sep 5, 2022

Good background knowledge.

Assignment did not have a model answer script provided for peer review

By Umesh S

Jul 21, 2020

may be a course or module on statistics may be more helpful to get better insight of this course