糖心vlog官网观看

Chevron Left
Back to Python for Data Science, AI & Development

Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM

4.6
stars
41,463 ratings

About the Course

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鈥攏o prior programming experience is necessary! You鈥檒l 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鈥檒l 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鈥檒l 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....

Top reviews

PJ

Dec 1, 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.

EH

Jun 11, 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.

Filter by:

6726 - 6750 of 7,457 Reviews for Python for Data Science, AI & Development

By David B

Jun 24, 2019

The course content was good. I had issues with the external cloud platform and the final assignment.

By Vihaan P

Jun 29, 2024

Too fast paced couldve been better many modules we just skimmed over stuff and not explained well

By Letian Y

May 28, 2021

Ambiguity in which areas are necessary. API, Webscraping could have been explained in more detail

By Adrian . E

Oct 22, 2022

The course should have given students the opprotunity to test their coding skills in the exams.

By Leif K

Jan 15, 2021

als Einsteiger Kurs geht es recht schnell vorw盲rts, teilweise w眉rde ich mehr Erkl盲rungen erwaren

By Adarsh A N

Apr 20, 2020

Need more assignments on Python. Requires much more emphasis on libraries like pandas and numpy.

By Gabriel A

Jun 14, 2019

Best thing about the course are the notebooks. Other than that, the lessons feel rather shallow.

By Benedikt C

Sep 6, 2021

Good to follow and understand but not that much to do by your own to practice the learned stuff

By Kyle I B

Oct 10, 2020

Sometimes was poorly organized, very hard to access information, coursera interface is lacking.

By Brian h

Apr 17, 2020

For a non-programmer I found the pace too fast and often did not understand the course content.

By Muhammad F K

Aug 4, 2023

it was awesome experience regarding python learning with an efficient and knowledgeable videos

By Salil K

Jun 25, 2020

Good course ...covers the basics and gives an overview for those who want to understand Python

By Indu C

May 2, 2019

Assignment 5 instructions were outdated and confusing and took some googling to figure out.

By Mike K

Apr 12, 2019

Good course syllable, but some tasks, especially final assignment, are raw and include errors.

By Mohammed M H

May 3, 2020

Was not that good as it should be . The basic part was good and the advanced part was too bad

By Rufus T

Apr 13, 2019

Good course, well structured: but assignments not always clear and that costs a lot of time !

By 袩邪胁械谢 袘

Dec 9, 2024

袘械蟹 泻芯褉褉械泻褌薪芯谐芯 锌械褉械胁芯写邪 胁懈写械芯褉芯谢懈泻芯胁 懈 谢邪斜芯褉邪褌芯褉薪褘褏 褉邪斜芯褌 屑薪械 斜褘谢芯 芯褔械薪褜 褋谢芯卸薪芯 褉邪蟹芯斜褉邪褌褜褋褟

By Mukul P

Jan 16, 2019

Basic Course - I would modify the title to reflect something like "BASIC / FOUNDATION / 101"

By Aviv H

Sep 15, 2018

The python part is good but the pandas is outdated.. df.ix for instance has been deprecated.

By Sherrissa W H

Jan 15, 2024

The hands-on environment was a let down but the provided information and examples was good.

By Joy A

Oct 11, 2022

First 3 weeks are very clear, 4th and 5th week you feel like you missed a week in between.

By Ivanov P

Jun 3, 2022

I had to use other Materials and sources to do the Labs, 糖心vlog官网观看 materials was not enouph

By Muhammad N K

Mar 20, 2021

It should include assignments because only quizzes are not enough to testify the knowledge.

By Himanshu R

Apr 30, 2020

it was very easy ,it had just simple concepts which many know ,very less new thing to learn

By raviteja g

Jun 8, 2019

Pretty basic. Few items, for instance the endpoint link in the assignment, need correction.