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.
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.
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 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 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
By barak s•
I have passed few courses as python for everyone (amazing course), but was stopping the course due to moving to new country, enough stress to be distracted :-)... Now, as we were been told to stay home as much as possible, the time has come to re-kindle my passion, Python!. Brilliant course due to your simple explanation knitted with straightforward animation. Well done!
By Jianxu S•
This is one of the best Data Science courses I have taken! It is marked for "five weeks" but can be done in a week for beginners. It teaches Python while breaking down complex data management tasks into manageable pieces. There were some typos and out-of-date links (warning was given) but nothing major. I definitely recommend this course to people new to Data Science.
By ABHIJIT S•
I sincerely thank Coursera and IBM for this opportunity .
Thanks and Warm Regards.
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By Antonel N•
Not an easy course, yet a truly excellent one! It is a solid starting point on mastering advanced concepts related to understanding and using Python programming language to manage data. Not only you learn the Python libraries involved in data science, but also how to work work with APIs to connect to other platforms or web services to build a powerful application.
By Fitrie R•
Eventhough this is not my first time to learn python, I found the course could define the terms of python pinpoint and helps our brain to use the terms correctly. However, updating the materials such as hands on lab is essential to reduce the time learning (as there's one or some files are no longer exist but still need to use in the final assignment)
By Ankur G•
A good course to learn basics of Python so as to facilitate analysis and visualization of data to make effective decisions. I thank the professors to make this course interesting and worth it. Only thing is, videos can be made in a better way so as to facilitate people with non programming background. Maybe some basics of programming would help.
By Anderson C T•
Es un buen curso para introducirse a la programación en Python, mi recomendación para los estudiantes es replicar los laboratorios en su computador variando los casos, así aprenden más. El nivel de ingles en los vídeos es comprensible para los que no manejamos completamente ese idioma, pero sí sería muy bueno colocar los subtitulos en español.
By VIMAL J R A•
This course provided me an ample of basics knowledge in python for data science. I surely recommend everyone to take this course and it's not necessary that you must have a computer science or IT technology related knowledge to take this course. Everyone who has inspiration to learn about python in data science can take this course.
By Ankit R•
Earlier I was keen interested in doing this course and thought what I will learn in just a small video but I'm amazed how good the course is structured and learned a basics of Data Analysis. The project at the end was really helpful. It was my 3rd course in a row and happy to learn more. Thanks faculty members and Coursera team.
By Berkay T•
I think overall the course is fairly good in teaching the fundamentals of python. The only thing I'd say is that you get to learn a lot of codes during the lecture, but examples aren't that abundant or challenging to really test the skills. I think there should be less coding more practicing to learn these fundemantals by heart.