糖心vlog官网观看

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.

This is a great course for beginners, looking forward to understand the basics of Python . This course is subdivided into related topics and while going through this topic there will short exercises on what you are exactly taught in the short video lectures (5 mins max) and labs.

I personally felt the lack of related projects which could have led to a better understanding .

Please try to add related short projects that will complete the course.

El curso te permite adentrarte y construir los cimientos para entender Python desde la raiz y va escalando permiti茅ndote comprender plenamente cada uno de los temas expuestos, los laboratorios refuerzan los conocimientos al permitirte ver los c贸digos y dejarte experimentar cuando cambias alguna letra, variable o texto. El programa es muy completo permitiendote ir desde lo m谩s b谩sico hasta otros temas un poco mas avanzados pero de manera fluida.

Very nice coverage of relevant topics has been done in the course. The pace is also adjustable, which makes it convenient for first time learners as well as experienced students to learn the subject. The exercises and laboratories supplement the course lectures quite well making it a complete package. Thanks for providing the knowledge and skills. My good wishes to Mr. Michael and to any students taking up this course currently or in future.

What a way to introduce Python!! This course is very professional, it covers all the important topics with rich information, also it has so much useful contents with lots of reading, references, labs and quizzes. Note: This course is challenging and need more time than estimated to finalize, also you can _after finishing the course_ keep the laps and the reading files as a reference to redo them after you become more advanced in Python.

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.

I am extremely satisfied with the experience. The course was well-structured and easy to follow, with clear and concise explanations of concepts. particularly appreciated the practical exercises and projects, which allowed me to apply what I had learned and solidify my understanding of the material. Overall, I highly recommend this course to anyone looking to learn or improve their skills in this versatile and powerful language.

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.

Thanks

Silambarasan K

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!

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.

I was a complete stranger to python before this and this is my first python course ever, so I am not sure if I would be the best judge of the rating of a python course; regardless I feel like I've learned a lot so I will give it 5 stars. My only criticism would be that in the labs, the codes that are given could be explained more in detail, we've kind of just rolled through some of the codes given in labs.

The Python for Data Science, AI, and Development course provided me with an excellent foundation in programming and data analysis. The content is well-structured, and the hands-on exercises helped me solidify my knowledge. I now feel confident using Python for real-world applications, especially in AI and data science projects. This course was instrumental in enhancing my skills and advancing my career."

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!

I recently completed IBM's Python for Data Science, AI & Development course, and I was thoroughly impressed. The instructors were knowledgeable and made complex concepts easy to understand. The hands-on exercises were invaluable, and the course catered to all skill levels. I highly recommend it to anyone looking to enhance their Python skills for data science and AI. Best regards, Harsh Gupta

Muy buen curso, de los mejores que hice on-line. Las explicaciones son muy claras, la pedagog铆a es excelente, todas las clases tienen su notebook. Realmente excelente. Seguir茅 adelante con los cursos de la especializaci贸n. Poder probar Watson es un plus para conocer la herramienta con un peque帽o contacto. No particip茅 de los foros pero por lo que vi los responsables del curso contestan mucho.

I had a very amazing experience in learning python in this course. I highly recommend this course as it gives you detailed explanations of each lesson. The teaching style is beginner-friendly and you can easily understand complex topics into simplest terms. Also, the Jupyter notebooks provided on Lab activities is very helpful in applying the knowledge and skills I gained from the lessons.

Me ha encantado el curso, ya que a diferencia de otros curso que solo se tornan te贸ricos, en este hab铆a practica y c贸digo para analizar y aprender hacer los primeros pasos en la programaci贸n avanzada con Python, panda, numpy, webscraping, aprend铆 muchos conceptos en programaci贸n que no conoc铆a y bueno ha practicar para mejorar y realizar proyectos reales, Hay mucho mas aprender. Vamos....

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, 糖心vlog官网观看 and IBM for providing such a great course.

It is one of the best course on Python Programming. It covers a lots about Python Data Structures (integers, strings, list, tuples, set, dictionaries), Numpy, Pandas, Objects and classess, Exploratory Data Analysis.

With video and transcripted text, quizzes and final exams, the course is well structured. It is my best loved course under Applied Data science with Python specialization.

The course was very enjoyable to me as a beginner in the field of data science who took it up out of curiosity. I thank IBM for curating such a vast and complex topic in a lucid and concise manner which facilitates learners irrespective of their previous knowledge base to understand and apply it. I also thank GITAM University for sponsoring this course to students and faculty members.

I feel so fulfilled to had cpmpleted this course. This is a huge credit to my dream of becoming data scientist, the skills and knowledge acquired in this course is already playing a vital role towards my career path. I have been able to secure some interview appointments which I am confident of a positive outcome. I remain passionate to see to finish of the professional certificate.

I am excited and grateful to coursera for the opportunity extended to me to successfully learn acquire this skill. Indeed, with what I have learnt, I am confident that it鈥檇 already added to my value and positively effected my credibility in my career. Setting to impact the society and the world at large with my knowledge 馃槉馃槉. Once again, I am grateful, thank you 糖心vlog官网观看 馃檹馃徑馃檹馃徑

I appreciated the variety of teaching methods used in the course, such as video lectures, interactive quizzes, and hands-on projects. The course was well-paced and I never felt overwhelmed. I have already started using the skills I learned in my work and I am confident that this knowledge will be very useful in my future career. Thank you for the excellent learning experience!