Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,518 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.

Filter by:

2651 - 2675 of 2,896 Reviews for Data Analysis with Python

By Benoit T P

May 4, 2019

The content of the course is very interesting. There are lots of typos in the lab workbooks though. Additionally, i found having to use Watson Studio for the assignment / labs as opposed to plain Jupyter a little annoying.

By Lippman T

Nov 28, 2023

There is more value to this course if you use ChatGPT as a supplement. The course is really high level and uses some codes that can be confusing (and it doesn't break it down) if you don't come from a coding background.

By CHEW K C

Mar 14, 2021

it will be better if you can illustrate how to solve the problem step by step and explain what is the parameters that you put inside the function. Some videos are great but some videos seems a bit rush.

By Sadanand U

Apr 9, 2019

It would be great if we go in a little more details of when to use which metrics for evaluation. Instead of running through a bunch of concepts you could have spent a little more time in each of them.

By Joseph M

Feb 21, 2019

There were serious problems with this course, not in the instructional material but in the execution. There were multiple typos in the code. The especially grievous ones being in the dictionary names.

By Tejas M J

May 4, 2021

Few mistakes in the questions made for this course. Also, more questions for quizzes are needed to test the learner's abilities better. Slightly harder coding assignments would also be a great idea.

By Michael L

Jan 1, 2021

Ran into some roadblocks during the peer assignment. It would have been nice to have had access to someone to discuss the roadblocks and assist me with understanding how I went wrong.

By Deren T

Jan 7, 2019

This is the 6th course of the specialization and I gave 5 stars to the previous courses. But this course have many typos in videos and codes. It makes harder to understand some points.

By Kristen P

Aug 18, 2019

The work in this course was incredibly interesting. However, there are many errors and the forums went for over a week without response to questions...It seems hastily put together.

By L V P K M

May 14, 2020

Videos are very fast and dont go into details. Assignment is very easy, it could have been more challenging which can test and make learner to think using several concepts learned.

By Taqi H

Jul 18, 2022

one must have prior knowledge about python and have little bit understanding of statistics. over all course was good but should be improved in terms of Data, ML terminologies, etc

By Ivan L

Apr 28, 2019

Typos are very unprofessional and spoil impressions of the course. Tests and labs are super-easy and do not make you think, and you only need to repeat commands from the lectures.

By Vladimir K

Feb 24, 2020

So many errors in materials. It's unacceptable for course of such level. Even though people mentioned these errors in discussion forumns noone seems to bother about correct em.

By Naveen B

Jul 12, 2019

Some of the codes shown in the videos had minor errors. Also, a bit more explanation for function (in statistics terms) would have helped in having a better understanding.

By Sruthi A

Jan 20, 2021

This course covered all the topics and overall it's a good one. I wish there were more examples, as it was hard to understand the details in depth with just one example .

By Marta I

Aug 23, 2020

This is a good course for beginners with Python. The content is explained in a very direct and comprehensible way, but more programming exercises and tasks are required.

By Ying W O

Sep 27, 2019

There are lots of typos in the labs and assignments, which can be frustrating. I expect better quality from IBM. Content is great and easy to understand nevertheless.

By Nan

Oct 4, 2024

The staff helps answer questions, which is very good. but there are some bugs never got fixed, and few practice questions give wrong answer, which can be misleading.

By Matteo T

Jan 1, 2020

This course is quite good. The bad thing is that the arguments of the last "lesson week" are treated very superficially, taking for granted some advanced knowledge.

By Marcel V

Jun 28, 2019

A lot (too much maybe) is covered in this coarse

It really helps a lot when you know some statistics. Like linear regression,

Why gridsearch was covered I wonder.

By Milica V

Mar 24, 2022

It could be better. It provides a lot of coding, but it does not explain all the aspects of it. The tests are not a good representation of what has been done.

By Dylan H

Apr 3, 2019

While a bit fast and loose with the concepts, does contain a lot of practical code as to how exactly to bring things discussed about, which is appreciated.

By Xuecong L

Feb 16, 2019

Thanks for teaching me the systematic way to do data analysis! However, I found quite a few mistakes in the lectures in this course, hope it will improve!

By Namra A

Aug 8, 2021

This course was good if you study the course and study the material from other sources and books too ,so it will give you deeper and more understanding

By Hao Z

Aug 12, 2019

IBM Cloud is difficult to use.

The generated link of notebook will not share the latest version, if you click the share icon before editing the notebook.