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Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM

4.6
stars
41,238 ratings

About the Course

Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert. Python is one of the most popular programming languages, and the demand for individuals with Python skills continues to grow. This course takes you from zero to programming in Python in a matter of hours—no prior programming experience is necessary! You’ll begin with Python basics, including data types, expressions, variables, and string operations. You will explore essential data structures such as lists, tuples, dictionaries, and sets, learning how to create, access, and manipulate them. Next, you will delve into logic concepts like conditions and branching, learning how to use loops and functions, along with important programming principles like exception handling and object-oriented programming. As you progress, you will gain practical experience reading from and writing to files and working with common file formats. You’ll also use powerful Python libraries like NumPy and Pandas for data manipulation and analysis. The course also covers APIs and web scraping, teaching you how to interact with REST APIs using libraries like requests and extract data from websites using BeautifulSoup. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for individuals interested in pursuing careers in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps and a variety of other technology-related roles....

Top reviews

PJ

Dec 1, 2020

It is a good course and teaches with the basic of Python so that anyone can understand it very well. Videos are good and can easily be understandable to anyone who is new to Python and Data Science.

TM

Nov 18, 2019

it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.

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7101 - 7125 of 7,418 Reviews for Python for Data Science, AI & Development

By Josep R C

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May 1, 2020

Super basic content. If you have a minimum knowledge on python and pandas I do not recommend enrolling in this course.

By Ismael S

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May 25, 2019

Too many things and no real practice, students would need to practice a lot more to consolidate all the information.

By Sebastian K

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Feb 26, 2020

Very, very basic course. Mainly a marketing tool for IBM Cloud. If it would've been free it would've been worth it.

By Jose R C

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Aug 9, 2022

Mucha teoria, poca aplicacion. Los videos no se entienden mucho en comparacion al resto del curso de Data analyst.

By Takashi N

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Aug 1, 2022

I think the course materials should be reviewed. E.g., in the final exam code blocks are not formatted properly.

By Julio C R

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Sep 11, 2021

In my opinion, there are way too few oportunities to practice. Additionally, the IBM resources do not work well.

By Lucie

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Nov 4, 2021

This course has many bugs. A lot of things didn't work. Registration at other sites necessary and difficult.

By Samriddh L

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May 5, 2020

Really average course, confusing in terms of what is expected for us to know and what is part of an exercise

By Sarthak S

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Mar 22, 2020

Peer graded should be reviewed by more than one person because the person reviewing mine has made an error

By Paweł W

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Apr 5, 2024

Material is very poorly explained. It lacks structure, I had problems to understand what is it all about,

By Andreas K

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Oct 21, 2021

Problems with hands-on training due to outdated code snippets and issues with registration for IBM Cloud

By Masab A K

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Jul 4, 2018

Don't take this up if it's your first time studying python. Videos are fast, and narrative is confusing.

By Mathias M V

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Feb 15, 2025

Classes are disordered in terms of sequence, jupyter notebooks have multiple errors and unused syntaxes

By Hardik P

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Apr 30, 2019

IBM Watson's interface does not match with the tutorials. Please update the videos as the interface.

By Keegan S

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Apr 18, 2024

While this had some useful info, the videos were painfully bland and the labs weren't very helpful.

By Arsalan A K

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Mar 15, 2021

As a beginner, it was bit advanced level course, more focused on theory instead of practical labs.

By Jeffrey H

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Jan 14, 2021

DId not teach much. Coding skills were too syntax-focused and less "think like a coder" focused.

By Santhiya D M

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Aug 6, 2019

Grading by peers is not very logical and productive

We don't need to wait 2 months for grading

By Jiajie Y

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Mar 13, 2021

It's too rush; wanna use short videos to explain some hard concepts, and I can't understand.

By Nicolas G

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Oct 10, 2019

Some information on the course is not accurate, and the end of the program had lots of bugs

By Ezz E D H

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Sep 27, 2024

Jumps into information without explanation, sometimes relying only on textual explanation.

By Tarun G

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May 5, 2020

Exercises are poor. The quizzes are simplistic and there is not enough hands-on exercise.

By Richard J

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Aug 25, 2020

The basic training on Python is good.

The IBM software training was not at the agenda.

By Brittany C

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Jul 1, 2019

Helpful in gaining exposure to pandas but there are many typos in the instructions.

By Joel B

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May 14, 2023

It is good, but the title makes you think otherwise. This is an intro to python.