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Отзывы учащихся о курсе Python for Data Science and AI от партнера IBM

4.6
звезд
Оценки: 18,030
Рецензии: 2,785

О курсе

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries. This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career. This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs: IBM Applied AI Professional Certificate Applied Data Science Specialization IBM Data Science Professional Certificate Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field....

Лучшие рецензии

MA

May 17, 2020

The syllabus of the course takes you in a roller-coaster ride.\n\nFrom basic level to advance level and you won't feel any trouble nor hesitate a bit.\n\nIt's easy, it's vast, and it's really usefull.

HM

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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151–175 из 2,755 отзывов о курсе Python for Data Science and AI

автор: Yuval S

Aug 01, 2019

This course was not well designed. It needs intensive editing and rewriting.

The author emphasize the use of IBM cloud products, but the course needs to elaborate in this area if this is the desired target.

Not enough explanations were dedicated to the Python language itself. To succeed you must know some Python before you learn the course, or learn during the course from other sources.

автор: Ahmed A

Jul 28, 2020

Bad videos.. Many methods and functions in the lab are not explained in the videos

To complete this course I spent most of my time reading documentations and searching to understand what is said as there is no enough explanation or even resources to read from.

(Maybe this method suits you but I didn't like it)

автор: Jacob M

Jun 09, 2019

This course is awful. The information is pretty basic and really doesn't teach you python at all. At the end of the course they hand you an assignment with coding that is way over your head and when it error's out you don't know how to solve the issue.

автор: Shamoon T

Apr 28, 2019

so many issues with Watson STudio and IBM storage. No help from the instructors or Coursera! wasted so much time on finding solutions . Please go to threads and you would get to know every student was facing the same issue

автор: Yaniv R

Apr 25, 2020

The exercises were few and mainly required copy-paste instead of understanding. Also, the course was full of ads for IBM. Finally, there were spelling mistakes throughout the text, which is just unprofessional.

автор: Jan D

Oct 05, 2018

Don't take it. No Course Instructors, no help. Not worth the money...

Even the Working Platform is always timing out or has a gateway error.

автор: ronald w

May 14, 2020

Week 5 final project SUCKED .. searching forums for 3 days with a URL that works ubtil it gets to 99% and fails. Really poor

автор: Alessandra C

Apr 21, 2019

Too fast paced, not very in-depth. Final project is full of spelling mistakes and not coherent with the course. Terrible.

автор: Sean G

Apr 24, 2019

This course is terrible - multiple typos, no support. Final project makes no sense. A total waste of time and money

автор: Brendan J M

Nov 05, 2018

The final project should have had more guidance and instructions in order to complete in a timely manner.

автор: Mark C

Feb 04, 2020

The final assignment is impossible to do due to lack of information. Where is the database?

автор: Charles O

Apr 23, 2019

Not very good, course materials do not match final project deliverables.

автор: piyush g

Dec 17, 2018

lacks rigor and the assignments were way tooo easy....!! thumbs down!!

автор: Lee R

Jul 12, 2020

I just paid money to let IBM market their cloud services to me.

автор: Raaj M

Nov 05, 2018

the last test to pass course nothing is taught about it

автор: Harshit D

Jan 26, 2019

Vague assignments- almost everyone gets stuck.

автор: Ines H R

Apr 27, 2019

The last assignment is very bad explain

автор: rje

May 09, 2019

Final Assignment is very confusing

автор: Anthony N G

Oct 04, 2019

This course was a perfect introduction to python for data science. I already have a B.S. in political science which required a few semesters of statistics. We mainly used Excel and SPSS. I wish I had taken a course like this because I’ll say that I much prefer Python to SPSS and Excel. I find Python more functional but far less user friendly. What helped a lot here was that I have a background in windows and pc hardware. I also have a little experience with Linux and .bash scripting. I’ll admit, this course would have been much more difficult without the computer knowledge I already had.

I’m currently working full-time trouble shooting large 3D printers 40 hours a week. I’ve been pondering what to go to graduate school for. This course has helped with that decision. I’m leaning toward a masters in the applied data science.

I plan on taking the other data science and applied data science courses on Coursera as well. Any and all continued learning I can get will be valuable.

What was most challenging? Learning the syntax and structure of the python language. I’m still learning it and it’s going to take quite a lot of effort to master it. Attention to detail is an absolute must in programming or coding—albeit a short script or manipulating a data set.

Also, I found that the Anaconda suite was the best choice to complete the course. It was a little more user friendly than the bare-bones IDLE/Python combination.

автор: Courtney B

Dec 04, 2018

I was a complete newbie to Python, and coding in general, and this course made it easy for even a beginner like me to understand. I would honestly love to take an extended version of this course. That said, I have recommendations for improvement:

1) the labs didn't really make you think terribly hard about how to solve the questions, and I would have loved more complex lab work, especially because of the next point...

2) The complexity of the final project basically skyrockets from the rest of the course work. I feel like an extra week or two of going over the additional knowledge necessary to really succeed in the final project without major struggle would help tremendously. Conceptually, it seemed like it should be REALLY easy... if only I had a little more applicable practice work under my belt before hand. (I finished it successfully, but it was a bigger struggle than it perhaps should have been. I think many other people are in the same boat.)

автор: 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.

автор: Wesley E B

May 09, 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.

автор: 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.

автор: Dr_G@ur

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!

автор: 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!