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

4.6
stars
38,666 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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4851 - 4875 of 6,911 Reviews for Python for Data Science, AI & Development

By A S M

Apr 1, 2020

Remember that it is just for beginners the teaching style and technique is quite impressive I will definitely suggest this course to you only if you are a beginner.

By Sri r k

Oct 5, 2019

Have issue with IBM studio

creating IAM Manager user for bucket and Notebook details are not clear and UI has changed a lot when you compare with the lecture screen

By Filomena M

Jul 24, 2024

Non sono riuscita a fare il "Laboratorio Pratico - Scraping del web", dava continuamente errori sulle istruzioni. Ma per il resto elementare, chiaro ed esplicativo

By Deleted A

Sep 20, 2022

Superb course hands on exercise is given and as it is starting steps for python it is very useful as it covered webscaping, file formats basic python very useful.

By Rafael M

Oct 28, 2020

Good introductory course. Too fast some concepts. Being able to separate it in two would be much easier to learn. More examples from other sectors would be needed.

By Cassandra d C

Apr 18, 2020

The course was fantastic for weeks 1 -3. Week 4 had some weakly written content in the labs and the week 5 assessment was very easy. A good starter course, though!

By Roshan P

Apr 24, 2019

The course is good. Explains a lot of things, some portions like `1DArray and 2D array could be made more interesting. The final assignment could be improved upon.

By Ashutosh

Oct 22, 2021

Very well explained

Labs were interesting and super fun,the best part about this course is you can even download the materials for future reference

Thank you IBM !!

By Klemen V

Mar 2, 2021

Excellent to teach you the basic, for working with data in python. There is quite a lot of knowledge in this 5 weeks and maybe a bit to little practical exercise.

By atal s

Mar 27, 2019

Gives you and overview of Python with just the basics. Further exploration has to be done by the student to explore various concepts. A good start for a beginner.

By ROLANDO P C

Sep 13, 2022

El curso es muy bueno y bastante completo para iniciar,un poco duro de digerir (entender) y seria excelente que los labs se pudiesesn descargar tambien. Saludos!

By jacky n

Jul 28, 2020

If there was more practical practice and maybe teach the the code that was used to make the dashboard will be good and also teach how to use object storage ibm .

By Luis O L E F

Nov 5, 2019

Good for people with no experience programming, extremely basic for people with some experience.

The examples and excercises could be more thorough and difficult.

By Mike O

Sep 2, 2019

Great introduction to using Python for Data Science. Material needs to be updated a little but the lessons are great to teach you how to form and retrieve data.

By Maximilian S

Jul 27, 2024

Very good course, teaching great basics and progressing into more advanced methods. However some typos and mistakes are involved in videos and reading material.

By Divyasri J

Aug 12, 2022

It was a great opportunity to get through this course .It helps to understand concepts and methods to work on it.I recommend it to everyone and keep learning ..

By Terala B P

Jun 12, 2022

I think it would help students if there were articles about the concept which explained in the video lectures which are used in real life to solve some problem.

By Saif A

Nov 26, 2020

Very nice, only it is very brief and you need another source,

also, you need to go and register and use the IBM platform which is complicated and time-consuming.

By Luigi d M N

May 27, 2020

A very good course with a lot of clear information on Python fundamentals. Although the labs are good, more and more exercises would have led to 5 stats rating!

By Ashwin

Oct 24, 2024

Thank you for this opportunity and this course is very helpful to understand about python and we can start from the beginner level of knowledge about python

By Myvizhi P

Nov 21, 2022

This course is good to learn the basics of Python. In addition, more work can be assigned to learners in hands -on-lab in order to understand the code deeper.

By Willy M

Mar 4, 2022

This was a nice refresher on python for an experienced javascript engineer. The high speed videos would be pretty tough someone just learning any programming.

By Hendra N

Oct 23, 2021

A number of the skills network labs could not run because files or some module could not be loaded. For instance in the data engineering and web scraping lab.

By Wojciech Ł

Jun 30, 2020

First 3 parts (week 1-3) are awasome explained. Rest (week 4-5) could be more detailed (more step by step with clarifying what specific funcion or phrase do).

By Preston L

May 26, 2020

Slightly out of date at times, but the basics are definitely there, and if you're willing to dig around the forums you can get all of your questions answered.