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.
By 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.
By Luis R S•
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•
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 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.
By 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.
By Ewan B•
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•
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•
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.
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 Pratham S•
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•
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•
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 Kumar S•
This course was very helpful for me to understand all the basic concepts in python. I learned how to code in Python programming language. It covered the portions of the course content very well. Now i can analyze the data, can make a dashboard any many more things I learned here in this courses and thanks again to COURSERA for accepting my financial aid application. I was unable to pay. But now with support I've completed my course and learned a lot.
By Rohit B•
This is an excellent introductory course to Python and key libraries. Just what I was looking for! I found the exercises to be fun and helpful in revising my learnings.
Compared to the first 4 courses in the IBM data sciene certification, there is definitely a lot more meat to the bone here. So be prepared for a steep learning curve if you decide to complete the course in a single stretch, even if you have a prior programming background.
By Robinson P P•
Excellent Course. The lab session helps to understand the concept in details. Jupyter Notebook knowledge will help in a practical session. Speech to Text example through IBM Watson indeed gives the basic understanding of cloud computing and API. Much more examples can be added. Introduction to data writing/saving through pandas' library and analysis, help to dive in the Data Science world.
thank you for such a wonderful course.
My heartfelt thanks to the course era team & IBM team by providing such huge opportunity to learn the Python by simple video explanation and continued with practice method. definitely this learnings will take me into next level of my career. After completing this course i completely admired about your team efforts by the way of syllabus framing and simple video learning cum quiz approach, Cloud practices.
By Kostyantyn B•
Very intensive course with lots of new and essential information for newbies in Python. Gives if not enough knowledge to start (which is hardly achievable within short course) but gives enough understanding of direction where to search and how to do things. Final assignment appeared not to be clean and straightforward but all my questions were answered in forum (hence I suppose it was not unclear not for me only). Good luck!
By Francisco M•
The course is good but sometimes the exercise texts are not very clear and some of the lessons are very straightforward, leaving many doubts. The course should have a larger series of exercises and an automatic correction system that facilitates the review of the exercises. In addition, it would be interesting to have a module on how to use IBMDB2 without the online platform, but through Jupyter on the computer.
By Sonu S B•
This is a great way to learn Python for beginners. The videos are short and to the point. Instead of just showing the raw codes, the course helps you visualize how the codes are operating in the background using very simple figures/animations. The intermittent quizzes in the videos and the quizlet for each section was super helpful too in keeping track of your understanding. Highly recommend this course!
By Marcelo A M•
Muy buen curso, de los mejores que hice on-line. Las explicaciones son muy claras, la pedagogía es excelente, todas las clases tienen su notebook. Realmente excelente. Seguiré adelante con los cursos de la especialización. Poder probar Watson es un plus para conocer la herramienta con un pequeño contacto. No participé de los foros pero por lo que vi los responsables del curso contestan mucho.
By Sagarika S•
This course is really amazing. Anyone who doesn't know about python a Lil bit can also be master in python with this course. The instructors were really amazing and taught each topic clearly. I would recommend this course to everyone who wants to learn python basics as well as explore what python can do in Data science and AI. Thank you, Coursera and IBM for providing such a great course.
By Kishore B•
I can imagine the amount of effort put by authors to teach the Python basics even for people with limited programming experience. Hats off to the authors and team which put together such an easy to understand notebooks. I was able to generate the URL for the dashboard though it was optional. So inspiring was the quality of teaching material, I didn't want to disappoint my masters.
By Tanmaya C•
I am a new learner in the field of Data Science , this course will help me a lot in understanding the basic concepts of python & data science also the instructor of this course will explain the things very well , very clearly & have very good course content in terms of quality. So overall this course is amazing for any one who wants to start carrier in the field of Data Science
By Qaunain M•
Amazing course that features loads of clever videos with diagrams to break down how Python and Data Science work with many relevant hands-on labs. You'll learn Python programming, data types and structures, use coding to create and manipulate documents, data science models and calculations, data frames and really cool things like how to use IBM Watson and manipulating APIs
By Ermiyas B B•
i was so happy in this course like lab materials and lecture also wonderful ; i got a lot of knowledge as developing country instructor such like learning system is helpful to improve our knowledge and to forward to our colleague and Students too .
Finally i would like to thank you Coursera and IBM for this opportunity to get knowledge and skill what i wish easily by online