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.
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.
创建者 Jan D•
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.
创建者 Robin P•
A course recommendation for the devs:
创建者 ronald w•
Week 5 final project SUCKED .. searching forums for 3 days with a URL that works ubtil it gets to 99% and fails. Really poor
创建者 Alessandra C•
Too fast paced, not very in-depth. Final project is full of spelling mistakes and not coherent with the course. Terrible.
创建者 Sean G•
This course is terrible - multiple typos, no support. Final project makes no sense. A total waste of time and money
创建者 Brendan J M•
The final project should have had more guidance and instructions in order to complete in a timely manner.
创建者 Mark C•
The final assignment is impossible to do due to lack of information. Where is the database?
创建者 Denis T•
This was Python for beginners, the exercises couldn't have been missed even by a child
创建者 Charles O•
Not very good, course materials do not match final project deliverables.
创建者 Piyush G•
lacks rigor and the assignments were way tooo easy....!! thumbs down!!
创建者 Lee R•
I just paid money to let IBM market their cloud services to me.
创建者 Raaj M•
the last test to pass course nothing is taught about it
创建者 Ali S•
Really poor course, and not well explained at all.
创建者 Harshit D•
Vague assignments- almost everyone gets stuck.
创建者 Kavish J•
yeah , slightly the worst teaching skills
创建者 Ines H R•
The last assignment is very bad explain
Final Assignment is very confusing
创建者 Anthony N G•
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.
创建者 Courtney B•
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.)
创建者 Whale M J•
This action-pack course is exactly what I am looking for. It's down-to-earth and practical. Instructors explain with videos once, then you get walk through in the labs, like a step by step guide.
The videos are of bitesize length so it's easier to concentrate on the concepts., and followed by quizzes that ask only the essentials. i love the part that i can experiment with the code myself after researching the concepts further on the internet.
It may be pretty demanding for complete beginners because each concept is introduced very succinctly, so if you have no clue with python at all, i think you need to research extra a lot in order to understand the concept. There are also a few minor typos which may affect the understanding, just really minor ones like a becomes b while b becomes a, or some general english typos.
Perfect for those who want to get a taste immediately what data science looks like, like myself.
创建者 Luis R•
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.
创建者 Paul A•
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.
创建者 Daniyal A•
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.
创建者 Wesley E B•
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.
创建者 Rounak K•
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.