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Introduction to Python for Business & Finance

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Virtual Bootcamp
Tuesday & Wednesday
9 November & 10 November 2021
17:30 - 21:00 EST
Course Prerequisites
Discount codes for CFA members and students available


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 introductory training, participants will build a core foundation in the Python programming language and how to use it for various projects. This is a hands-on course where attendees will be in development environments used by practioners and actively programming. The course concludes with a hands-on project that cohesively ties together all the covered concepts.

Attendees can use either a Mac or Windows computer for this workshop. The workshop will be conducted through virtual conference software. Instructions on how to download and configure all software will be provided prior to the course.

This class is different than our Introduction to Data Science workshops in that it focuses purely on Python as a tool. It is use-case agnostic and by the end of the training, participants will have strong foundations to tackle data science, web development, software, and general scripting-related projects. The course covers features of Python programming beyond just data science applications.


Learn from the comfort of your own home

You'll be part of a virtual classroom. We will send out all the instructions prior to the course - you only have to make sure a stable broadband internet connection is available.

Hands-On Programming Experience

An overview of foundational Python and computer programming concepts that will help you learn any new computer language.

Collaborate with others

You will have opportunities to interact with the instructor and other participants during and after the course. Our virtual classroom lets you chat and speak.

Problem Solving Practice

Deep problem-solving practice that involves 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 class is relevant for business, finance, and nonbusiness professionals who want to learn Python for data science & machine learning projects, web development, software development, and product management. The business professionals who would most benefit from taking our course include: finance, marketing/advertising, corporate strategy, corporate development, VC/PE, business intelligence, and operations professionals in corporations as well as management consultants and entrepreneurs. Nonbusiness professionals who would benefit from taking this training include professionals in: law, medicine, politics, public health, public policy, and sports analytics.

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

What Participants Say

"As a beginner, and someone who is looking to learn Python to enhance my career as a financial analyst, I find this course to be the optimal mix of online and written instruction."
– Michael P.
"The pace is good, the explanations are clear, instructor is superb, very good at explaining."
– Stefani C.
"Concise and straight to the point."
– John K.
"Really easy to follow even for a programming beginner like me."
– Takuya A.

Course Specific Questions

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

No. That's why you would take this class!

Do I need experience with data science, web development, or software engineering to join this course?

No. The course is taught in a use-case agnostic manner. What you learn can be applied to any use-case that warrants Python programming.

How is this course different from your Introduction to 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 obtain a strong foundation in the Python programming language as a general-purpose tool. To sign up for a Data Science class, please check out: Cognitir's Virtual Bootcamps.

Do I have the right computer for this course? (Minimum system requirements)

You will need a PC (Windows Vista or newer), Mac (OS X 10.7 or newer), or Linux (Ubuntu, RedHat and others; CentOS 5+). Your computer will need a stable internet connection (see item below), speakers and microphone. We recommend at least a Dual Core 2Ghz or higher (i3/i5/i7 or AMD equivalent) processor with 4GB of RAM. Our software can be run from almost any browser (IE, Chrome, Safari) but we encourage participants to use Chrome for a seamless experience.

Please contact us if you are planning to use a different setup for this course.

What are the internet/bandwidth requirements for this course?

Participation in this virtual course requires a stable internet connection. You can test the speed of your internet connection here. It is recommended to have download and upload speeds of at least 3.0 Mbps.

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. The video conference and chat software that is used during the course can be accessed directly from your browser. 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!