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

4.6
stars
35,197 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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326 - 350 of 6,171 Reviews for Python for Data Science, AI & Development

By Ata U M K

May 28, 2023

Python's ease of use is one of its greatest strengths. Its simple and intuitive syntax allows beginners to quickly grasp the basics while offering advanced features that cater to experienced programmers. With Python, you can dive straight into coding without being hindered by complex syntax, enabling swift prototyping and experimentation.

When it comes to Data Science, Python shines brightly. The abundance of libraries, such as NumPy, Pandas, and Matplotlib, provides an extensive toolkit for data manipulation, analysis, and visualization. These libraries, coupled with the powerful machine learning frameworks like Scikit-learn and TensorFlow, enable efficient data modeling, predictive analysis, and deep learning implementations. Python's seamless integration with statistical packages, such as SciPy and Statsmodels, further enhances its capabilities in statistical analysis and hypothesis testing.

By Luis R

Oct 18, 2020

Curso adequado tanto para completos iniciantes (primeira parte do curso) quanto para quem já conhece o básico e gostaria de conhecer e expandir seus conhecimentos nos módulos Pandas, Numpy e Matplotlib.

A parte teórica é apresentada com excelência em videos curtos de maneira bem direta e sintetizada, ideal para desenvolver um bom ritmo de aprendizado e de conclusão do curso.

A parte prática é montada de forma a possibilitar qur você aplique na hora exatamente o que acabou de aprender, acessando a plataforma após cada video por meio de links. Lá você vai encontrar exercicios simples e com explicações e passo a passo

O projeto final é simples, porém muito enriquecedor. Aplicando diretamente conhecimentos sobre os módulos aprendidos e códigos python na análise de um dataset disponibilizado e na geração de um dashboard de visualiação de dados.

By Alpesh G

Jun 29, 2021

The modules teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings. Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. About dictionaries and how they function by storing data in pairs of keys and values.

 The best part of this course is the unique ways of collecting data by the use of APIs and webscraping. It further explores data collection by explaining how to read and collect data when dealing with different file formats.

By S M G A N

Jul 27, 2023

The "Python for Data Science, AI & Development" course that IBM is providing on Coursera is a fantastic and in-depth study. It covers many different subjects, such as the basics of Python, data analysis, machine learning, and artificial intelligence. The training is well-organized and offers practical experience working on actual projects. The competent and interesting educators make difficult ideas simple to comprehend. Quizzes and practical tasks help reinforce learning. Overall, it is an excellent course that gives useful skills for aspiring professionals in the industry and is highly recommended for anybody wishing to grasp Python for data science, AI, and development.

By Paul A

Sep 24, 2020

The courses on the Applied Data Science specialization will spoil Coursera for you. I tried the Applied Data Science specialization out of curiosity; and quite frankly, I was happily surprised by quality. I really enjoyed the narrator and the amount of work put into the slides. They are effective at getting the point across and the course content gives you exactly what you need to succeed on the tasks at the end; granted, you have to put in some work, but overall is quite manageable to an "advanced beginner" like me. I felt challenged but not overpowered by the content. I really can't say enough good things about the this specialization and this course.

By Aryan A

Sep 27, 2023

Having completed 100% of the "Python for Data Science, AI & Development" course, I can confidently say that it's a game-changer. This course provided me with an in-depth understanding of Python, AI, and Data Science, allowing me to tackle complex projects with confidence. The instructors' expertise and hands-on projects were instrumental in my growth. The supportive learning community made the journey even more enriching. With flexible scheduling, it accommodated my pace. I now feel well-prepared to embark on a rewarding career in these fields, and I wholeheartedly recommend this course to anyone seeking a transformative learning experience.

By Sachin J

Jul 10, 2023

I recently completed the Python for Data Science, AI, and Data Science course on Coursera, and I must say it exceeded my expectations. As someone new to the field, I found this course to be an excellent starting point for understanding the fundamentals of Python and its applications in data science.

The course structure was well-designed, with each module building upon the previous one. The instructors did a fantastic job of explaining complex concepts in a clear and concise manner. The lectures were engaging and easy to follow, and the accompanying hands-on exercises allowed me to apply the concepts I learned, reinforcing my understanding.

By Nuwaira A

Nov 4, 2023

I completed the Python introductory course, and I must say it was an exceptional learning experience. This course is designed for beginners, and it really lives up to that promise. Here's what I learned and enjoyed. I gained a solid understanding of data structures like lists and tuples. These are fundamental in Python, and the course explained their usage and manipulation effectively. The course takes you from a complete beginner to someone who can apply Python in various scenarios. The vedios are engaging, and the course materials are well-structured. I highly recommend this course to anyone looking to start their Python journey.

By Rodrigo R

May 6, 2023

This is a very concise and straightforward programming course with a neat hands-on approach. It doesn't waste time talking endlessly about all functions or every possible language feature, which is usually a source of demotivation for students and professionals that I've seen in other courses focused on quantity over quality. This course quickly presents you with the essential concepts so you can start practicing right away and apply it on your work, making it very clear that realistic software development means having the essential skills and always going for the documentation when you need something more specific.

By Daniyal A

Oct 27, 2019

A highly recommended course for students/professionals who want to learn about Python Programming and its fundamentals. Your journey in this course starts by familiarizing yourself with Python Basics (Data Types, Expressions, Variables & Operations) in Module 1 and learning about Python Data Structures (Lists, Tuples, Sets & Dictionaries) in Module 2. Module 3 focuses on Programming Fundamentals (Conditions, Branching, Functions, Objects & Classes), whereas Module 4 gives you a hands-on experience of working with Data in Python. As you reach the end, Module 5 tests your knowledge and skills through a Final Project.

By Ewan B

Mar 31, 2021

An excellent course, provided by IBM, which does precisely what it says on the tin; providing a pretty solid overview and foundation for the applications of data science, AI and development tools using python. There is a lot veered, and you really do get out what you put in (so it is worth reviewing and revising the logic behind certain applications covered, in order to ensure you really have a decent grasp of how they work). This covered most of what I had hoped it would, and ties directly into the next course I had chosen in advance of deciding to complete this one.

By Wesley E B

May 8, 2019

Great overview of Python. It's quite a useful quick brief explanation of how touples, lists, sets, dictionaries, classes, defining a function, file reading/writing, logic statements, data frames, single and two dimensional arrays and a few packages work. Honestly, most of it would probably be gibberish/hard to follow if one didn't already have a computer programming I and possibly computer programming II course from a college or university under their belt. I feel like these could have been way more graded assignments/quizzes applicable and easily-made.

By Rounak K

Jun 22, 2020

This is a good module for beginners in Python like myself. Great amount of examples and functions in the module which if practiced a few times will help understand them completely. I felt there would be no use in just rushing through the entire module and took time as scheduled and practiced the functions every now and then to get a better grasp.

May be the last bit on APIs was a difficult and the "nba_api" by Swar Patel was a bit sudden and I got lost.

But the final assignment was just perfect to understand my knowledge on the module.

By Helena R

Apr 3, 2022

Course was awesome A little more than what I expected. Found the topiscs of webscraping and the Watson Studio tasks quite enjoyable - but was reminded that this is a professional path. From prior experience, such topics are included in advanced levels. Was highly appreciative of the quick responses from the staff in the FORUM. This was not my experience from other COURSERA courses. The support team is tremendous. Kudos to the course lectuer(s) and those who faciliated. Great work. Awesome learning experience.

By Deleted A

Jul 15, 2020

Classic! For someone who has never programmed in his life but is gritty enough to make it to the field of Data Science, this course is a must. The way even most complicated concepts are explained smoothly and easiely, just loved it. Labs are exceptional. The way this course caters to the need of new programmers is highly appreciable. This would surely motivate budding Data Scientists and would instil much needed confidence in them.

No doubt much effort was put to make this course the waay it is. Loved it!

By Hoàng H

May 20, 2023

The Python for Data Science, AI & Development course for beginners is fantastic! It's beginner-friendly and offers clear explanations. The course covers all the essentials, starting from the basics and gradually advancing. Hands-on exercises provide practical experience and boost confidence. The course materials are well-structured and serve as helpful references. Highly recommended for beginners interested in Python for data science, AI, and development. Kudos to the instructor for an excellent course!

By Q_ C

Jul 24, 2023

The 'Python for Data Science, AI & Development' course provides a comprehensive yet accessible dive into Python and its applications in data science and AI. It offers a great balance between theory and hands-on learning, with a focus on essential libraries like NumPy and Pandas. The course successfully encourages learners to explore Python more deeply, serving as an invaluable foundation for anyone keen on data science, AI or development. Highly recommended for beginners and those looking to upskill.

By Manish G

Aug 14, 2023

"Thoroughly impressed with the 'Python for Data Science, AI & Development' course! 🌟 It covers an impressive range of topics, equipping learners with essential skills in Python programming, data analysis, AI techniques, and software development. The instructors provide clear explanations and practical examples, making complex concepts accessible. This course is a must for anyone looking to excel in the world of data-driven technologies. 🚀🐍 #HighlyRecommended #DataScience #AI #Development"

By Manjul S

Dec 12, 2022

The course is complete compact package, one should go through it before learning ML,AI,Data Science.

The course provide all basic knowledge of python which is going to use in other course and the use of library and functions, Spendng time on this course is total worth.

The explaination of every topics are cristal clear and the quiz is also good and the labs are the most useful one...

Thanks IBM for the course, I am greatful for that, Thanks Coursera for the course and the great help.

By Daniela V

May 1, 2022

Este curso me encanto. Me parece que es perfecto para quienes nunca han manejado Python pueden darse una noción amplia y aprender las bases. Los laboratorios son geniales para poner en practica lo aprendido, aunque en algunas partes usan muchos códigos avanzados que no se logran entender para principiantes, sin embargo, sigue siendo ameno el aprendizaje. Muy apropiado para los primeros pasos, pero sin duda hay que continuar profundizando los conocimientos despues de este curso.

By Pratham S

Jun 19, 2021

Probably the best course on data science with python on the web.

It gives you such amazing knowledge for a paltry fee that you yourself will get aw-struct by the quality of education you are been provided.

if asked to find out, the only improvement i see in this course is that they can add a bit of feel in the dub, it felt like if the dub artist had felt what she is saying, it would be easier to understand the concept.

thank you coursera for coming up with such an amazing course.

By Xiaowei Z

Apr 30, 2020

The course is systematically developed and clearly delivered. Through this course, I enriched my knowledge on the basic grammar of Python and acquired a new skills, just running towards my goal to be an outstanding Data Analyst. I will continue with the rest 3 courses included in the program Applied Data Science powered by IBM , with a strong belief that more values and competences could be added on myself after the completion of this program. Keep on moving forward!

By Renee W

Jun 27, 2019

This is the first time programming has made sense to me. The format and explanations simplified the material into understandable chunks. There were times a lot of concepts were reviewed at once without a lot of background (when and why would one use a list versus a dictionary versus etc., what on earth are 1 and 2 dimensional numpys for), but the final assignment did much to combine most of the material into a practical use example. Looking forward to learning more.

By Manjeet K

Sep 10, 2023

This course provides you from the basics of Python programming language to advanced application of using Python. Course starts with the theoritical knowledge and graded / ungraded labs gets you to the practical use of the theory learned. Next is the project short course which I recommend after finishing this course. I am very thankful to IBM and Coursera for providing this course which will help me in my career or even in finding a totally different career path.

By sandeep k

May 15, 2022

if you are familier with programming and you are afraid of programming ,try coursera any course there you can have knowledge from the basices and you will learn everything if you are serious.

python programming for data science i will rate 4.5 only becasue at the end of course in 5th week what i see there is deifficulty in reading programming of python so please add one more week before 5th one to deep understanding of more programming and matlplotlib lib.