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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
43,099 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

CD

Dec 11, 2019

All the basics for Data Science with Python. You wont be a master programmer after this class but you will understand the basics and computer logic in regards to data handling and cloud management.

JE

May 30, 2019

The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.

筛选依据:

6976 - Python for Data Science, AI & Development 的 7000 个评论(共 7,828 个)

创建者 Nicholas B

Apr 24, 2024

The course was good, but the python quizzes seem to arbitrarily consider indentation when asking if this code would return an error or not.

创建者 Wesley D

Apr 24, 2024

Some of the stuff felt out of place and I think the labs should be a bit better made... you don't really get the full experience of coding.

创建者 Joseph W

Mar 4, 2021

Quiz questions sometimes pop-up before the subject material is presented. Some sections, especially the last week of sections, feel rushed.

创建者 Pasha M

Aug 23, 2019

I don't think the study material was as informative - the assignment was straight out different to what was taught in the videos and labs.

创建者 Tariq A j

Nov 30, 2025

First three modules were great. Modules 4 and 5 were a bit sloppy (should've been a separate course). Also way too many units per module.

创建者 Alexander C

Jun 13, 2022

The final quiz is not using proper code formatting, which makes it very annoying to read especially the question regarding python classes

创建者 chahine a

Apr 18, 2021

The course should have videos which explain the solution for the labs, as most of them are really difficult and not for a beginner level

创建者 Allison G

Dec 31, 2020

Too much was filled in on the notebooks. let us practice. more time spent on setting up and configuring Watson than on learning Python

创建者 Ahmed B

Aug 31, 2024

in the course description in said for beginner level, but not all the things that were in the course were explained to me as a beginner

创建者 Bob D

Sep 22, 2021

Started reasonably well with Python fundamentals, but then sped through more complex material in a blur of half explanations and typos.

创建者 Steve H

Dec 30, 2020

Starts at a VERY basic level, then jumps ahead to advanced topics too quickly. Some instructions (e.g. Speech to Text API) do not work.

创建者 Rudolfs L

Aug 8, 2018

Good overall if you already have a grasp of python. Lots of mistakes with the coherency of the text vs the things displayed on screen.

创建者 Abdullah G

Jul 23, 2021

It went from basic to advance real quick. It needs to be tailored further for students who do not have any background in programming.

创建者 Cindy Y

May 27, 2019

Course was easy but instructions for the exercises and the projects were very unclear, confusing, lacking and difficult to interpret.

创建者 Enikeev A

Sep 13, 2018

course is good, but final task is awful! It took me 4-5 times to finally upload it correctly, so other students may have seen my work

创建者 PARIVESH K

Jun 21, 2022

MAde the topic easy to understand.

Overall liked the course, but on the beginners point of view it could have been more descriptive.

创建者 Christian M

Apr 29, 2019

The code that the teachers for this class wrote contains numerous errors and poor instructions leading to a great deal of confusion.

创建者 Amir

Jan 19, 2024

Course is very basic and at the part(starting Module 4) where it should be elaborating it start throwing many informations at once

创建者 Nakshatra G

Apr 10, 2020

Modules Such as Pandas, NumPy, API weren't clear it'd be good if we had a human instructor and the topics were explained in detail

创建者 Ayse A K

Oct 13, 2019

Thank you all for this well structured, clean and concise course. Some in-depth examples on python functions could be more useful.

创建者 Nthabiseng M

May 20, 2021

this took the longest time - it was difficult, i needed some interaction with the instructor, some labs did not work - e.g Watson

创建者 Sudhanshu M

May 16, 2020

Week 4 of this course felt very rushed and many of the functions/methods used were not explained, especially in the API sections.

创建者 Victor I S

Aug 3, 2019

The final test is so hardest than rest of the curse, I think that the curse should be faster in begginer and slower in the end.

创建者 Ros R

Jul 23, 2019

IBM Cloud storage has to be explained more deeply, and please update the material according to the actual state of IBM platform

创建者 Anna K

Jan 30, 2019

Too straightforward and easy for those who have Python experience. At the same time, it summarizes the main points quite nicely