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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,616 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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2726 - 2750 of 2,912 Reviews for Data Analysis with Python

By Badri T

May 28, 2019

Lots of good concepts. However, too complicated and could have been explained a bit more.

By Jesse Z

Jun 5, 2019

For such a important topic, it seems like the videos sped through some essential topics.

By Debra C

Mar 24, 2019

Course was worthwhile for general understanding of what can be accomplished with Python.

By Miguel A I B

May 13, 2020

Exelent training to get familiar and intruducing to Python capabilities and programing

By Xinyi W

Jan 26, 2020

Superfacial level of Python while being not very through on the data analysis methods.

By Ana C

Jun 11, 2019

To short

Goes to fast in some aspects, the theory is completely missing in this course

By Sathiya P

Aug 27, 2019

Nicely thought, but I felt concepts like Decision trees, Random forest were missing

By Ros R

Aug 12, 2019

The course is too long. The material should be divided and explained more detailed.

By Amanda A

Apr 16, 2020

There were many typos in the labs which made it difficult to understand at points.

By Juan S A G

Aug 20, 2020

very simple exercises which does not help to learn altough videos were exeptional

By Naresh T

Aug 11, 2023

It's really good course i really enjoyed learning new things in data analaytics.

By Naf

Nov 1, 2022

It was a good course but maybe a little too easy with all the prompts provided.

By Mohsen R

Jun 16, 2020

The course does not explain the processes enough, there should be more examples.

By Maciej L

May 16, 2019

Too many complicated things happening at once. It is hard to digest and follow.

By Tomasz S

Nov 19, 2018

Few small hiccups with the training videos and quite a few in the lab-excercise

By Craig S M

Mar 21, 2022

It ok. Some parts of the course were bare bone. I liked the hands on sections.

By Steven B

Jun 3, 2020

Overall I felt it was not broken down very well and seemed confusing at time.

By Pierre-Antoine M

Feb 19, 2020

Videos are nice but they are mistakes in the notebooks that disturbs learning

By Toan N

Mar 27, 2020

The lab is disconnected every so often that can't complete it smoothly.

By Jessica B

Jun 14, 2019

Good content, but lots of typos. The outsourcing is extremely evident.

By RODOLFO C R

Jan 24, 2022

This course focus on very important subjects but in a sketchy aproach

By Arjun S C

Aug 14, 2019

Lots of bugs and errors. No instructors reply on the discussion forum.

By Anvit S

May 13, 2020

Could have been more detailed....Important concepts just brushed thru

By Nourhan A Y

Aug 28, 2024

This course needed to be updated it lacks a lot of important basics

By Dibyendu M

May 20, 2023

The practical lab having technical issue .PDF is not downloadable.