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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
42,518 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

EH

Jun 10, 2021

It is a very valuable course that I have learned for the Python skillset. It contains some advanced methods. It helps me to build more confidence in using Python and understand the concept in general.

TM

Nov 17, 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.

筛选依据:

7351 - Python for Data Science, AI & Development 的 7375 个评论(共 7,681 个)

创建者 Sebastian K

Feb 26, 2020

Very, very basic course. Mainly a marketing tool for IBM Cloud. If it would've been free it would've been worth it.

创建者 Wajeeha R

Aug 16, 2025

This course is totally on reading Notes. There should be videos by professionals who will teach everything deeply.

创建者 Jose R C

Aug 8, 2022

Mucha teoria, poca aplicacion. Los videos no se entienden mucho en comparacion al resto del curso de Data analyst.

创建者 Takashi N

Jul 31, 2022

I think the course materials should be reviewed. E.g., in the final exam code blocks are not formatted properly.

创建者 Julio C R

Sep 11, 2021

In my opinion, there are way too few oportunities to practice. Additionally, the IBM resources do not work well.

创建者 Lucie

Nov 4, 2021

This course has many bugs. A lot of things didn't work. Registration at other sites necessary and difficult.

创建者 Samriddh L

May 5, 2020

Really average course, confusing in terms of what is expected for us to know and what is part of an exercise

创建者 Sarthak S

Mar 21, 2020

Peer graded should be reviewed by more than one person because the person reviewing mine has made an error

创建者 Paweł W

Apr 5, 2024

Material is very poorly explained. It lacks structure, I had problems to understand what is it all about,

创建者 Andreas K

Oct 21, 2021

Problems with hands-on training due to outdated code snippets and issues with registration for IBM Cloud

创建者 Masab A K

Jul 4, 2018

Don't take this up if it's your first time studying python. Videos are fast, and narrative is confusing.

创建者 Mathias M V

Feb 15, 2025

Classes are disordered in terms of sequence, jupyter notebooks have multiple errors and unused syntaxes

创建者 Hardik P

Apr 30, 2019

IBM Watson's interface does not match with the tutorials. Please update the videos as the interface.

创建者 Keegan S

Apr 18, 2024

While this had some useful info, the videos were painfully bland and the labs weren't very helpful.

创建者 Arsalan A K

Mar 15, 2021

As a beginner, it was bit advanced level course, more focused on theory instead of practical labs.

创建者 Jeffrey H

Jan 13, 2021

DId not teach much. Coding skills were too syntax-focused and less "think like a coder" focused.

创建者 Santhiya D M

Aug 6, 2019

Grading by peers is not very logical and productive

We don't need to wait 2 months for grading

创建者 Jiajie Y

Mar 12, 2021

It's too rush; wanna use short videos to explain some hard concepts, and I can't understand.

创建者 Nicolas G

Oct 9, 2019

Some information on the course is not accurate, and the end of the program had lots of bugs

创建者 Ezz E D H

Sep 27, 2024

Jumps into information without explanation, sometimes relying only on textual explanation.

创建者 Tarun G

May 5, 2020

Exercises are poor. The quizzes are simplistic and there is not enough hands-on exercise.

创建者 Richard J

Aug 24, 2020

The basic training on Python is good.

The IBM software training was not at the agenda.

创建者 Brittany C

Jun 30, 2019

Helpful in gaining exposure to pandas but there are many typos in the instructions.

创建者 Joel B

May 14, 2023

It is good, but the title makes you think otherwise. This is an intro to python.

创建者 Valeriia S

Oct 6, 2021

If I did not learn Python prior to taking this course it would confuse me a lot.