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

4.6
stars
38,467 ratings

About the Course

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. 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 anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles....

Top reviews

MA

May 16, 2020

The syllabus of the course takes you in a roller-coaster ride.

From basic level to advance level and you won't feel any trouble nor hesitate a bit.

It's easy, it's vast, and it's really usefull.

TM

Nov 17, 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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4751 - 4775 of 6,878 Reviews for Python for Data Science, AI & Development

By Lyle D

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Jan 18, 2024

For someone new, like me, Jupyter Notebooks didn't seem to work all the time; or the code didn't work. Overall, a fantastic course, sometimes I wasn't sure why the code in the labs didn't work.

By Mustafa E

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Aug 10, 2020

Could be a bit more advanced for those who have programming background. I also felt the practical work in the lab could have entailed more quizzes to let the students apply the new concepts more

By Sourabh S

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Apr 24, 2020

This was a pretty good course, But there were some mistakes here and there with the text that the bot speaks and also in some of the slides. It'd be better if some instructor records the videos.

By Yash S

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Dec 11, 2022

Good course. but one needs to make sure they properly understand all the topics covered and very minute level of concentration is required because they might cover a simple topic in 30 seconds.

By Sebastian C T

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Jul 16, 2020

Muy bueno, pero siento que se deberìa explicar como usar los APIs y demàs desde el Python que uno descarga localmente, y no a travès de Jupyther notebook. Y explicar el graficar en el mathplot,

By Adam D

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Apr 27, 2020

There are some drastic leaps in learning between modules. It would make it easier to have additional information explaining a lot more of the concepts, rather than just running a block of code.

By Jithin J

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Jun 12, 2019

I am reducing 1 star because of the issues I faced during the exam. Kindly update your instructions as per the updated IBM cloud website, or any other third party tools employed in the course.

By Santiago A

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May 23, 2024

Es un curso muy completo, para los hispano hablantes puede dificultar un poco en la traducción pero nada que no sea accesible. Tiene muy buenas herramientas e implementaciones. Muchas gracias!

By Giang T

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Feb 27, 2020

This course strengthen your knowledge for python, and it requires lots of understanding, time to do lab and practice to become better. However, I hope some issues with the lab can be improved.

By Riola C T

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Aug 20, 2019

-Good Course for basics of python and intro to Pandas and Numpy

-More exercises related to Pandas and Numpy would be good for practice.

-The course isn't updated with the latest UI of IBM Watson

By Rakshita S

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Jun 29, 2020

I am grateful for Coursera and IBM for this course. I deducted 1 star because I felt the content of Week4 (content with Pandas and Numpy), and Week 5 should have been expanded a little more.

By razvan p

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Sep 23, 2022

Good course. It can go from very simple to very complex at times for someone who starts from scracth. There is a lot of code that isn't always explained with a lot of functions in between.

By Krit P

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Dec 29, 2019

Please check the final assignment and ibm speech API . I have to trouble to setting up and there is instruction is missing. however the first 3 week is very insightful material for new user

By Sajith P

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Jun 24, 2019

Very Interesting Sessions. Thoroughly Enjoyed going back to good old days of programming, which made so easy and comfortable nowadays.. Thanks to the professors and mentors + the evaluators.

By Alexandru S

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Apr 24, 2019

Very brief course of Python. It touches the basics of the language.

As with the previous courses, the final assignment generates frustration because of things not related to the examination.

By Mahendra - E

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Jul 16, 2022

A Good brief course.. to get introduction of every aspect of Data Science. Sorry to say that it cannot be called "Certification Course", as many things are explained in a very brief way.

By Stefano C

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Mar 11, 2021

Interesting and clear, the difficulty in the exercises escalates pretty quickly and some exercise and clarifications are not the best. Very interesting and well structured course overall

By Marcus J

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Jul 18, 2022

A well programmed course. It covers the vital aspects of Data Science, and I will recommend you try this course if you want to start off your Data Science journey on a very smooth path.

By Avijit C

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Mar 29, 2020

The course includes extensive hands-on exercises. However, it seemed to lack in more details. Also, a full-fledged project / exercise at the end of the tutorial would have been helpful.

By Malu d L J S

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May 15, 2022

The content of the course is great, but the exercises from the middle to the end of the course are with lots of bugs and dependent on IBM account that is free only for a specific time.

By Alan J

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Aug 1, 2022

Great explanations with good examples. This course give you a really good boost if you are getting into data science career, you'll just have to polish the skill you gained from this.

By William N H J

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Apr 25, 2020

I am someone who likes a supplementary textbook in conjunction with an online course. I've downgraded my rating to 4 stars because no supplementary book is identified for the course.

By Wanying C

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May 13, 2020

I am not a beginner for Python and I know that this course is not completely for beginners. It took me a while to finish the final project which is much harder than previous courses.

By Abhishek K

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Aug 21, 2019

This course is easy to understand but you need to have little programming knowledge beforehand. I would have loved it more if the topics covered under this course were in more depth.

By Mollie C

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Jun 15, 2019

Final project notebook needs to be edited by the instructors. The instructions in some places are misleading and the English/grammar is awful in places. I think this can be improved!