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

4.6
звезд
Оценки: 15,579
Рецензии: 2,324

О курсе

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Module 1 - Python Basics o Your first program o Types o Expressions and Variables o String Operations Module 2 - Python Data Structures o Lists and Tuples o Sets o Dictionaries Module 3 - Python Programming Fundamentals o Conditions and Branching o Loops o Functions o Objects and Classes Module 4 - Working with Data in Python o Reading files with open o Writing files with open o Loading data with Pandas o Numpy Finally, you will create a project to test your skills....

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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201–225 из 2,326 отзывов о курсе Python for Data Science and AI

автор: Rushrukh R

Apr 26, 2019

It essentially provides you with the head start you need to exploit Python in the field of data science. Also, if you happen to have a programming background, it would be a nice piece of cake to get you started on your first awesome day on Data science. Here's to many more!

автор: MEET S C

May 18, 2019

The course was excellent for learning and applying python at the same time. The course is perfectly designed for all kind of learners, excercises and labs helps a lot to grab the concepts. Thank you coursera for giving me this wonderful opportunity to learn this course

автор: Alexander P S

Mar 25, 2019

More interactive assignments leading into the final project would be useful. I needed to resource outside reading to fully understand the final project. However, the final project did force me to develop a much stronger understanding of python code and how it works.

автор: Stuart B S

Mar 25, 2020

I particularly enjoyed using Jupyter notebooks for the labs. It was actually fun to introduce different variables to see what would happen to the output. Plus, it made importing libraries very easy, and helped me better understand them in general, particularly NumPy.

автор: Uwhojega O W

May 18, 2020

This is a great course for a beginner, the illustrations and training are well structured for quicker understanding. The discussion forum allows for effective collaboration with like minds. Overall, the course is a great starting point for data scientist enthusiast.

автор: YASH K

Jan 04, 2020

The Course is designed and framed in a simplistic and ergonomically way easy to learn and understand.

Quiz questions are completely based on understandings from the course. And finally, the last analysis project gives a complete overview of what you have understood.

автор: Abilio R D

Oct 17, 2019

It was a good training course, with lots of good materials, visuals, and hands-on exercises. The integration of this course with IBM Watson is definitely an add-value. I did like also the possibility to share my labs to GIT Gist. I really recommend this training.

автор: Austin L

Jul 24, 2019

Outstanding curation of the material and presentation at a pace that was easy to understand. The optional part of the quiz was very difficult -- why make the user type in so many file names, parameters etc. to generate a URL -- that could all have been automated.

автор: Sagar G D

Nov 08, 2018

This course gives an perfect introduction to the basics of python for data science with the help of some python packages like numpy,pandas,mathplotlib etc, apart from this the course also gives brief understanding of using if,else,for loop,functions in python.

автор: Suraj S

Apr 05, 2020

Code is beautifully explained, Skill cloud lab is amazing to work upon. I can use jupyter notebook and Turi whenever I want to. I had a major problem installing Turi in my windows platfrom, version and resources never matched. Thank you IBM for this platform.

автор: Massimiliano B

Apr 21, 2020

Very interesting. Adequate level to start using python.

The only section that I found less interesting was the section on APIs, the description of the code for the connection with the service providers was a little bit confusing.

Overall excellent course!

автор: Mike N

Apr 20, 2020

Having taking the Machine Learning Coursera from Univ. of Washington, I left this was a much better explained and presented course explaining the information behind what was taught quite well. I could recommend this course to new Python programmers.

автор: Rohit N P

Dec 27, 2019

It was a good experience to learn and get to know about the Python for Data science through the medium Coursera. I confidently say that I am conversant in this field and I will definitely get the golden opportunity to be a part of the Data Scientist.

автор: Dustin R

Oct 13, 2019

Excellent course. This course teaches plenty about the introduction to using common data science analysis tools like Python. Anyone would benefit from taking this course and learning to use amazing frameworks like Python's pandas or numpy frameworks.

автор: Nicole D

Apr 05, 2020

This course as part of the IBM Data Science Professional specialisation is a great way to learn foundational Python skills for applying in data analysis and AI. The resources provided by IBM offer a great opportunity to practice on your own time.

автор: Munir N

Oct 11, 2019

It was good experience of learning, the way course has been designed and very good point is the interactive part, where immediately there is question answer session.

Specially the course content and gradually moving towards detail, i like that!

автор: Facundo M

Jun 10, 2019

Muy buen curso. Es totalmente disruptivo e innovador.

Recomiendo a cualquiera que quiera iniciarse en la temática.

Como estudiante de Ingeniería Industrial, es de gran ayuda tanto como para complementar estudios, como para explotar nuevos rubros.

автор: Jurom N

Jan 17, 2020

The course was very knowledge-enriching and easy to follow. Most of the concepts in Python necessary for Data Science were covered, and examples were practical. Videos were also explained very well, and the exams were really highly thought-of.

автор: Yuting

Nov 07, 2019

Easy to understand, this course is very suitable for beginners.

Quickly understand the basic syntax of Python and interesting IBM cloud, and the labs provided.

There are many very good practice questions to help students understand the content.

автор: Mohamad A H

Jun 14, 2019

A bit slow for me in the beginning since I've had experience with other languages but would defintely benefit anyone new to programming in general.It picks up at week 3 and I learned ALOT specially about Pandas and Numpy.

Great course overall

автор: Rahul C

May 01, 2020

I believe this course really gave me a flavor of how to extract data from Data libraries and how can we analyze them using different functions. I will recommend any beginner interested in data analytics to take up this course and start away.

автор: Jonathan M

Mar 01, 2020

Perfect course for someone with no experience in Python. Starts with the basics and builds up from there. The videos are well put together and the assignments help clarify the concepts presented in the videos. Overall, was very informative.

автор: Khan M K A M

Jan 06, 2020

The language used in the videos was simple,the labs assignment was very well managed never faced a difficulty in understanding anything.

The course was short but useful in learning the python language as a complete beginner to the language.

автор: Neeraj J

May 19, 2020

I like the content of the course. The practical approach of the course makes me understand the things quite easily and its boosting my confidence on new technology. I would recommend others please go through each bit of practical content.

автор: Zachary L S

Dec 15, 2019

Python for Data Science and AI was an excellent introductory Machine Learning and AI course using Python. Previous programming experience is highly recommended. I had some Python experience but significant PHP, JS, and Ruby experience.