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A one-day workshop that builds on Introduction to Python

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Python is an extremely powerful general-purpose programming language. It is used for data science and machine learning projects, web development, and software development. Given the ubiquitious use of Python for a variety of tasks as well as its global support, it has become one of the world's most popular languages - up there with Java, C, and C++.

In this advanced course, participants will build on the core foundation set in Introduction to Python and will cover more advanced Python and programming topics. Similar to Introduction to Python, this workshop concludes with a hands-on project that ties together all the covered concepts.

Attendees can use either a Mac or Windows computer for this class.

Advanced Python is different from Introduction to Python in that this training covers complex topics such as object-oriented programming which is not considered an introductory topic and therefore not in the introductory course. After taking Introduction to Python and Advanced Python, participants will have the skills needed to develop complex programs and scripts.

This workshop is often taught in a two-day sequence with Introduction to Python since both trainings are related.

Course Duration
1 Day
Course Prerequisites
Introduction to Python or Introduction to Data Science


Hands-On Programming Experience

An overview of more advanced Python and computer programming concepts to create efficient and cleaner code

Problem Solving Practice

Deep problem-solving practice taking complex problems and breaking them down into smaller chunks

Project Portfolio

Coding projects and snippets to showcase if you are job-hunting

Support Beyond the Classroom

All Cognitir participants receive course notes, a certificate of completion, instructions on how to add the course to their LinkedIn profiles, and post-seminar email support


This course is relevant for business and finance professionals who want to learn Python for data science & machine learning projects, web development, software development, and product management. The business and finance professionals who would most benefit from taking our course include: FP&A, marketing/advertising, corporate strategy, corporate development, VC/PE, business intelligence, and operations professionals in corporations as well as management consultants and entrepreneurs. Certain nonbusiness professionals would benefit also from taking this course, including those in law, medicine, politics, public health, public policy, and sports analytics.

Introduction to Python or Introduction to Data Science is a prerequisite.

Not sure if this is the right course for you? Contact us.

What Participants Say

"Loved the course! Great roadmap: data science made accessible!"
– Logan B.
"Extremely well done course."
– Travis H.
"Great introduction for those with no background in computer science."
– Marissa G.
"Very useful and instructors did a great job starting with the basics and building from there...was a lot of useful information that would be very costly to obtain otherwise."
– Susan Y.

Course Specific Questions

Do I need experience with Python programming to join this course?

Yes! You need to have taken either our Introduction to Python or Introduction to Data Science course.

Why do I need to learn Advanced Python and programming if I am a business or finance professional?

You should learn the advanced content because it will empower you to become more data-driven and efficient at work. You may have been in situations that required you to repeatedly do something (i.e., copy, paste, and change a column in excel). You could actually use Python to create a script that helps you automate tasks that otherwise take you hours to complete. Imagine you could gain hours each week just by optimizing efficiency. Are such gains worth the cost and time of learning advanced Python and programming concepts? We would say so!

How is this course different from your Introduction to Python and/or Data Science courses?

The Python taught in our data science courses is purely to help you execute your data science and machine learning tasks. The focus of this course is not on any one use case. It is designed for anyone who wants to build their skills in Python as a general-purpose programming tool. This is different from Introduction to Python in that this course is a deeper dive on certain topics briefly covered in the introductory course and/or not covered at all.

Do I have the right laptop for this course?

You will need a PC (Windows Vista or newer), Mac (OS X 10.7 or newer), or Linux (Ubuntu, RedHat and others; CentOS 5+). Please contact us if you are planning to use a different setup for this course.

Do I need to install software prior to the class?

Yes, you will need to download and install free Python software on your laptop. In case you are planning on using a company laptop, please make sure that you have the necessary rights to install the tools. We will send out detailed information on the download and installation procedures a few days before the course starts.

Visit our FAQs to see commonly asked questions from participants about data science.

Download Syllabus

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Questions about this course? Enquiring about training availability? We'd love to hear from you!