Python for Data Science, AI & Development

Overview

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Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. 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 anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.

Syllabus

Python Basics

This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.

Python Data Structures

This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.

Python Programming Fundamentals

This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.

Working with Data in Python

This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.

APIs and Data Collection

This module delves into the unique ways to collect data by the use of APIs and web scraping. It further explores data collection by explaining how to read and collect data when dealing with different file formats.

Taught by

Joseph Santarcangelo

Reviews

2.3 rating, based on 3 Class Central reviews

4.6 rating at Coursera based on 38754 ratings

Start your review of Python for Data Science, AI & Development

Ronny De Winter @RonnyDeWinter

This is a basic introduction to Python for whoever wants to start with data science and AI. If you are completely new to Python you will probably need more exercise than just this course. For people with Python experience, this can be a good rehearsal if your skills are a bit rusty.

The Coursera certificate is not worth the money in my opinion. If you are happy with an IBM certificate instead you can follow the same course for free at https://cognitiveclass.ai/courses/python-for-data-science including the certificate
Trang Le

Sometimes I got freaked out when I completed a course with flying colors and felt like I didn't get anything out of it. Unfortunately, that's exactly my experience with this course, Python for Data Science and AI offered by IBM. If you are consider…

Sometimes I got freaked out when I completed a course with flying colors and felt like I didn't get anything out of it. Unfortunately, that's exactly my experience with this course, Python for Data Science and AI offered by IBM.

If you are considering the course because of its spot-on title, or by the name IBM, then I advise you to stay away from it. There is nothing remotely data science or AI in this course. It should have been called Introduction to Python ,or Python for Beginners, but there are much better courses on this topic, such as those offered by the University of Michigan.

Here is why it is bad: All the videos feature the same robotic voice rushing through basic concepts as if someone is just reading from a textbook. I wonder if the narrator is an AI, not a real human. I could have overlooked that if the content is actually good. In contrast, its scope is very narrow, even for a beginner course. There is no walk through of common Python challenges and mistakes to solidify the concepts. and again, you are going to pick up more Python knowledge from other courses.

Worse, the exercises just promote rote learning and the ability to use IBM's products. There is just not enough practice exercises to help learners understanding. Most of my time spent on this course is actually dedicated to figuring out how to set up IBM Studio, or whatever it is called. I doubt anyone is going to benefit anything from this course.

I've always admired IBM's achievement, but it takes a different skill set to deliver a good online course.

Tldr:Don't take this course if you are a beginner, because there are better, more affordable beginner Python courses elsewhere. Don't take this course if you are intermediate, because your time is precious. Don't take the course at all, unless your future employers are attracted by the IBM brand name.
Khooshi Bhadiyadra @khooshisb

"Python for Data Science, AI & Development is an excellent course. It provides a comprehensive and practical introduction to Python's applications in data science and AI. The content is well-structured, and the hands-on exercises are valuable for real-world proficiency. Whether you're a beginner or have some programming experience, this course offers valuable insights and skills. Highly recommended!"