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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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5326 - 5350 of 7,416 Reviews for Python for Data Science, AI & Development

By Febiana N R

Mar 27, 2019

Good course for those who want to migrate from R to python or someone new to data science and learn the basic of python for data science

By Valentino C

Oct 5, 2024

Very good introduction to python and data analytics. However, pretty simple. It would be great if they include more practical projects.

By Luis A R P

Jul 12, 2020

An excellent course with a lot of pratical examples that can help newcomers about how to understand both data analysis and programming!

By Daniel E B O

Feb 1, 2025

Muy bueno si se tiene disciplina, puesto que se explica bien y ya aprender va en cada persona que tanto se halla esforzado en el curso

By Anuradha B

Jul 30, 2018

The course is interesting and covered basics. I will suggest to make this course more challenging by increasing number of assignments.

By Varad M

Feb 3, 2025

It is a comprehensive and easily understandable course, but including at least one small project would make this course a powerhouse.

By Riza N

Jun 7, 2024

It gave me an idea on how the language of python works and me as a beginner to the coding language,this course definetly did help me.

By Carol C

Nov 30, 2022

I needed to look for more information in other resources but at the end I consider I learn a lot about Python and its functionalities

By Santiago B

Jun 24, 2022

Very didactic, specially the first 3 weeks

I would have liked to have por examples and some excersices on the last 2 weeks (libreries)

By Mihkal J

Jul 21, 2021

Good basics course. Maybe a few more problems to solve yourself would be a good addition but I guess that is covered in the projects.

By Eric G

Oct 29, 2019

Was hoping this would be a more advanced course based off of the name. Overall it's a simple and easy overview of some functionality.

By daniel m

Jul 29, 2024

bueno el curso, pero al final hay problemas para correr los comando. El modulo 5 tuve que investigar mucho más por mi propia cuenta.

By Dark M

Jul 23, 2022

It was so amazing and fruitful to wok here step by step in fact i've learnt alot through this course and I am aiming to achieve more

By Kimberly O

May 13, 2020

The APIs were not explained well and the final project needed much clearer instructions thankfully provided by the TA and the forums

By Siddhant S

Jan 13, 2020

Well drafted course. Easy to understand especially for beginners although the exercises and the test could be made more challenging.

By Luca F

Jul 2, 2021

It is a good course but it become really complex in the last two weeks with APIs and libraries made a bit too fast and not so clear

By Jeffrey G

Apr 17, 2020

Of the series, this particular one was quite solid. Straight forward direction on python usage with some interaction with Watson.

By Jose L G D S

Oct 23, 2024

Introduction to math library Numpy, pandas for data handling and web scraping with practical labs that expand the formal contents.

By Robert C

May 25, 2020

This course provided an introduction to python that was easy to follow, interactive, and rewarding. I look forward to what's next!

By Phillip J L

Apr 22, 2020

Good introduction to python, coming from someone who has never coded before. Did need to do some supplemental reading to catch up.

By Yaseen A

Aug 3, 2024

In general its great and informative but may need to be more details regard pandas, pandas libraries and working pandas libraries

By Mohammed H

Oct 4, 2021

some questions are not related to the concept but related to the slides or lab. to answer, you need to return to related material

By POPURI A S

Jul 7, 2020

The course at the beginning seemed very slow, but later at the ending, it was rushed. The lab work could have been more detailed.

By Юра Б

Mar 6, 2019

As for me final assigment must be more complicated and maybe include some simple app, that involve all knowledge from the course.

By K L N S

May 30, 2023

Good in terms of the Basics of Python and its libraries like NumPy, and Pandas. Not suggested for people who are aware of this.