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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

DR

Sep 27, 2024

This course was really helpful in make me understand all the topics of Python from scratch, including the slightly advanced topics, of APIs, for my level as a freshman just getting settled in college.

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.

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4876 - 4900 of 6,874 Reviews for Python for Data Science, AI & Development

By Yuvraj G

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Aug 22, 2018

Good course for building foundations in python. Take this course before going ahead in this specialization if you are new to data science and python.

By Federico A

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Sep 3, 2022

El material me parece excelente. Las preguntas para las evaluaciones están bien pensadas, aunque poco exigentes. Los videos fueron muy didácticos.

By Nikhil J

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Apr 10, 2020

Great course for python beginners. Just felt could be a little more smoother process. Just felt, those IBM related things were excessively promoted.

By Saumitra B

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Jul 30, 2020

there were some technical problems that reduced my overall grade even when it wasn't my mistake.

but I got a lot to learn from the material provided

By Gaurav S

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Sep 24, 2021

A very basic course. Although we were being taught a lot of new things in this course but still a more in-depth knowledgeable videos were mossing.

By Irma B

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Apr 2, 2021

It's not for a true beginner but with extra effort to break down the information and practice the skills, a beginner can successfully complete it.

By HAMZA R

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Jul 8, 2024

good explanation for the Python basics, a good overview on Data Analysis and the related Python libraries, not too deep, but a good introduction.

By Subhajit P

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Dec 7, 2021

This was a awesome journey. I felt real interests in apis and already started working on a project. Thanks a ton for providing for such resourse.

By Erinah K

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May 25, 2020

This course gives good understanding of the python basics needed in data science and a good introduction to the python libraries pandas and numpy

By Rutuja M

•

Jan 31, 2020

Its Very Easy to get in start but in the last week its like blast, suddenly Every thing gets tough.

Try going to it at least twice for the week 5

By Hari P R

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Jun 5, 2019

Course content is good, but i was able to find out few spelling mistakes and for one quiz i was marked wrong even though i selected right answere

By Louis O

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Nov 19, 2021

I enjoyed this course. I already knew most of the content regarding the basics of python but it was a good refresher. The labs were interesting.

By Ed J

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Apr 13, 2020

I thought it was a really good course. The only negative for me was the Watson part, I was mostly looking for just Python and common libraries.

By Gustavo L

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Nov 27, 2019

I really liked this course. It gave a quick review of python with examples and practice exercises, but I wished it had more.

It is to the point.

By Nicolás

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Feb 18, 2019

It's a good introduction , but the final assignment is not about the lessons. The idea is to practice your learnings, so you should change that.

By Sumit s

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Aug 19, 2022

Course would be better with more indept knowledge on the topic. I have to do lots of research than this courseware. Many thanks for the course.

By Tiến N M

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Apr 28, 2022

the course contain a lot of knowledge from very basic to advance . But the contents are not clearly understand and not easy to catch up as well

By Dhananjay j

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Jun 6, 2020

It was a challenging course! I learnt a great deal about python programming which also means that I need to keep practicing to hone my skills.

By jiajia m

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Sep 15, 2019

Excellent design of the course, with video, extra practice, quiz and assignments. only problem is with the IBM platform. It is not easy to use

By Mugwaneza G

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Apr 4, 2023

This course was excellent. There is a Good concept explanation. It is understandable. Thank you, IBM, for accepting me in your course program.

By Ritesh D

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Jun 18, 2021

Though the course content is good, but the labs don't work most of the time. If possible do try to fix the loading times of the lab notebooks.

By Anmol D

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Mar 26, 2020

The dashboard function code wasn't working, Also, if it is going to be included in the assignment, then there should be a video on it as well.

By Daniel S

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Sep 9, 2022

It was my first approach to python. It was good, how ever the labs after week 3 are very complicated for a person who is starting in python.

By Anuj S

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Sep 3, 2019

Videos have so many errors. The course is good for the beginners but doesn't have much to offer to those who are already familiar with Python

By DENNIS J

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Apr 28, 2023

Challenging course, a bit fast paced for me in the video segments but the hands on labs really tie the learning together. Highly recommend.