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学生对 IBM 提供的 Python for Data Science, AI & Development 的评价和反馈

4.6
43,129 个评分

课程概述

Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert. Python is one of the most popular programming languages, and the demand for individuals with Python skills continues to grow. This course takes you from zero to programming in Python in a matter of hours—no prior programming experience is necessary! You’ll begin with Python basics, including data types, expressions, variables, and string operations. You will explore essential data structures such as lists, tuples, dictionaries, and sets, learning how to create, access, and manipulate them. Next, you will delve into logic concepts like conditions and branching, learning how to use loops and functions, along with important programming principles like exception handling and object-oriented programming. As you progress, you will gain practical experience reading from and writing to files and working with common file formats. You’ll also use powerful Python libraries like NumPy and Pandas for data manipulation and analysis. The course also covers APIs and web scraping, teaching you how to interact with REST APIs using libraries like requests and extract data from websites using BeautifulSoup. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for individuals interested in pursuing careers in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps and a variety of other technology-related roles....

热门审阅

HK

Oct 19, 2022

T​his was an extremely informative course and I believe is perfect way to strt off your coding journey. The teaching style was understandable.detail oriented and very practical. Highly Recommended.

PJ

Nov 30, 2020

It is a good course and teaches with the basic of Python so that anyone can understand it very well. Videos are good and can easily be understandable to anyone who is new to Python and Data Science.

筛选依据:

5626 - Python for Data Science, AI & Development 的 5650 个评论(共 7,836 个)

创建者 Carlo R

Apr 17, 2024

I feel more details on particular lessons could've been implemented. The only critic is to explain more depth into each lesson simplier.

创建者 Anunaya S

Feb 29, 2024

For beginners of Python programming language this course provides all necessary topics and formats in a simple and comprehensive manner.

创建者 Muhammad U A

Dec 10, 2020

overall the course is great. well structured. i would recommend more practise exercises in the course and more focus on non-ibm products

创建者 vishal k

Feb 24, 2020

This was my first course online with course era . The interface was very friendly. I would continue to take more courses from this site.

创建者 Febiana N R

Mar 27, 2019

Good course for those who want to migrate from R to python or someone new to data science and learn the basic of python for data science

创建者 Valentino C

Oct 5, 2024

Very good introduction to python and data analytics. However, pretty simple. It would be great if they include more practical projects.

创建者 Luis A R P

Jul 11, 2020

An excellent course with a lot of pratical examples that can help newcomers about how to understand both data analysis and programming!

创建者 Daniel E B O

Jan 31, 2025

Muy bueno si se tiene disciplina, puesto que se explica bien y ya aprender va en cada persona que tanto se halla esforzado en el curso

创建者 Anuradha B

Jul 30, 2018

The course is interesting and covered basics. I will suggest to make this course more challenging by increasing number of assignments.

创建者 Varad M

Feb 2, 2025

It is a comprehensive and easily understandable course, but including at least one small project would make this course a powerhouse.

创建者 Riza N

Jun 7, 2024

It gave me an idea on how the language of python works and me as a beginner to the coding language,this course definetly did help me.

创建者 Carol C

Nov 29, 2022

I needed to look for more information in other resources but at the end I consider I learn a lot about Python and its functionalities

创建者 Mihkal J

Jul 21, 2021

Good basics course. Maybe a few more problems to solve yourself would be a good addition but I guess that is covered in the projects.

创建者 Eric G

Oct 29, 2019

Was hoping this would be a more advanced course based off of the name. Overall it's a simple and easy overview of some functionality.

创建者 daniel m

Jul 28, 2024

bueno el curso, pero al final hay problemas para correr los comando. El modulo 5 tuve que investigar mucho más por mi propia cuenta.

创建者 Dark M

Jul 23, 2022

It was so amazing and fruitful to wok here step by step in fact i've learnt alot through this course and I am aiming to achieve more

创建者 Kimberly O

May 13, 2020

The APIs were not explained well and the final project needed much clearer instructions thankfully provided by the TA and the forums

创建者 Siddhant S

Jan 13, 2020

Well drafted course. Easy to understand especially for beginners although the exercises and the test could be made more challenging.

创建者 Luca F

Jul 2, 2021

It is a good course but it become really complex in the last two weeks with APIs and libraries made a bit too fast and not so clear

创建者 Jeffrey G

Apr 17, 2020

Of the series, this particular one was quite solid. Straight forward direction on python usage with some interaction with Watson.

创建者 Jose L G D S

Oct 23, 2024

Introduction to math library Numpy, pandas for data handling and web scraping with practical labs that expand the formal contents.

创建者 Robert C

May 25, 2020

This course provided an introduction to python that was easy to follow, interactive, and rewarding. I look forward to what's next!

创建者 Phillip J L

Apr 22, 2020

Good introduction to python, coming from someone who has never coded before. Did need to do some supplemental reading to catch up.

创建者 Yaseen A

Aug 3, 2024

In general its great and informative but may need to be more details regard pandas, pandas libraries and working pandas libraries