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

4.6
stars
41,313 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—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....

Top reviews

TM

Nov 18, 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.

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.

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6701 - 6725 of 7,433 Reviews for Python for Data Science, AI & Development

By Arnob M

Jan 27, 2025

I think it would be tough to catch for newbie and more explanation is needed for most of the videos.

By Harsh G

Jun 2, 2024

The Course could have been organized better. At certain places the content was not in correct order.

By vish n

Jun 19, 2022

should have given atleast 50 more excersises for practising each week to get the knowlgde thoroghly.

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 28, 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 vorwärts, teilweise würde ich mehr Erklärungen erwaren

By Adarsh A N

Apr 19, 2020

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

By Gabriel A

Jun 13, 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 Павел Б

Dec 9, 2024

Без корректного перевода видеороликов и лабораторных работ мне было очень сложно разобраться

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 10, 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, Coursera materials was not enouph