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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:

5651 - Python for Data Science, AI & Development 的 5675 个评论(共 7,837 个)

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

创建者 Mohammed H

Oct 3, 2021

some questions are not related to the concept but related to the slides or lab. to answer, you need to return to related material

创建者 POPURI A S

Jul 7, 2020

The course at the beginning seemed very slow, but later at the ending, it was rushed. The lab work could have been more detailed.

创建者 Юра Б

Mar 6, 2019

As for me final assigment must be more complicated and maybe include some simple app, that involve all knowledge from the course.

创建者 K L N S

May 29, 2023

Good in terms of the Basics of Python and its libraries like NumPy, and Pandas. Not suggested for people who are aware of this.

创建者 jonathan

May 15, 2020

Okay but pitched a bit simple for my programming level - people with coding experience in other languages may find this too easy

创建者 Frances L

May 11, 2020

Loved the workbooks, they were so helpful, found videos a bit fast moving and difficult to understand aside from that very good.

创建者 Tahlia G E

Apr 16, 2019

Very well structured course. Introduces a novice to the core elements of Python and NumPy. I highly recommend doing this course.

创建者 Tanveer D

Sep 9, 2023

the course was quite helpful. thanks to the coursera team.

the video and the lab - that was fantastic.

really loved the course...

创建者 Thilini S

Oct 8, 2020

speech to text language translation part is not that much clear for me. I would like to give a suggestion to improve that part.

创建者 Nicole C

Nov 13, 2025

This course is great. There was a bit more background info like on software engineering for what I wanted but a good refresher

创建者 Bhavya D

Jun 2, 2020

Course contains basic knowledge about python used in Data Science. But more extra efforts are needed to enhance our knowledge.

创建者 Nehal M

Jun 10, 2023

it was a really great and helpful course . i wish they would have helped with atleast one course related project at the end .

创建者 Pradeep C

Mar 5, 2023

Lot of areas covered enable learner to draw a roadmap in which direction they want to go ahead in this vast area of AI and ML

创建者 Daniel D P

Jul 15, 2022

I wish the course would allow for more of actually writing out code oppose to reviewing what it should look like in the labs.

创建者 Chijioke I

Jan 18, 2022

A great course all round with user friendly exerises to match, some of the notebooks are not compatible with vs code offline

创建者 ARJUN S D

May 16, 2020

Great course for basics of Python, however API could have been explained in a better or a simple way without rushing through.

创建者 Prasenjit D

Apr 22, 2020

The optional exercise in Week 5 is a little difficult to follow but other than that, this course is very detailed and useful.

创建者 Kashyap M

Dec 16, 2018

It was a good course, but the last week's peer graded assignment wasn't much helpful and it didn't make much of a sense to me

创建者 Chris R

Jan 30, 2024

This course gives a good understanding of the python basics. The only improvement would be to provide more hands on practice

创建者 aliahmed a

Oct 21, 2023

It was a very helpful course & much more understandable than some other courses I had related to python for Machine Learning

创建者 Marcos D

Jul 16, 2019

Great videos and labs. The capstone project was a little confusing for some parts. But overall, it was a really good course.

创建者 Taichi M

Sep 26, 2021

This course may help you learn more practical use of Python. If you haven't learned Python, it is definitely worth taking.

创建者 Rishab R

Aug 17, 2021

For learning python, this is a good starting point. People should use this course as a base to start using Python regularly

创建者 Luo Y

Jul 17, 2019

I feel the depth is not enough,but it covers a good range of knowledge. It is a good course to get you started with Python.