HK
4.0Reviewed Oct 19, 2022
This 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.
Python for Data Science, AI & Development
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.
Status: Python Programming
Status: NumPy
BeginnerCourse24 hours
Featured reviews
DD
4.0Reviewed May 17, 2020
It is a good course if you have previous knowledge in python, in my case I did not have too much expertise in Programming and it was very difficult the las 2 weeks (4 and 5). However i learned a lot.
CD
5.0Reviewed 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.
PP
5.0Reviewed Sep 30, 2020
I liked the course as it gives a quick introduction to the concepts of python and its libraries Pandas and Numpy. I really enjoyed doing lab work using IBM Watson Studio. It was a great experience.
SM
4.0Reviewed Jul 20, 2020
Great Course work just more needs to be explained. I searched a lot to find more information as a beginner. But a great introduction will recommend it if you're starting out without any experience.
PJ
5.0Reviewed 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.
FF
5.0Reviewed Aug 22, 2023
Python Course by IBM is an eye opener, with so many hands-on labs. I have completed this course feeling very confident with Python. I really enjoyed every bit of it. Much thanks to IBM and Coursera!
TM
5.0Reviewed 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.
AD
4.0Reviewed Jun 23, 2021
Briefly it covers a lot of topics. Learnt many new things in such a short span of time. Its just that the Hands on tool was a little slow. Rest everything was pretty simple and its good for beginners.
KK
5.0Reviewed Aug 28, 2023
Extremely informative and beginner friendly content.The quizzes and specially the practice questions are very helpful to clear basic concepts.Thoroughly enjoyed the content.Thanks IBM and Coursera !!
EM
5.0Reviewed Sep 24, 2022
it becomes easier wand clearer when one gets to complete the assignment as to how to utilize what has been learned practical work is a great way to lerarn which was a fundamental part of the course.
PA
4.0Reviewed Sep 8, 2021
A nice introduction to Python! I would have liked assignments that were a little more in-depth, but other than that the course content was well laid out, easy to understand, and a solid foundation.