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Introduction to Data Science for Business & Finance

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Virtual Bootcamp
Tuesday & Tuesday
23 November & 30 November 2021
17:30 - 21:00 GMT
Course Prerequisites
Introduction to Python or equivalent
Discount codes for CFA members and students available


Booz Allen Hamilton reports that organizations experienced a 17-49% increase in productivity when they increased data usability by 10%. Given the positive impact that professionals can have on their organizations' performance by employing data science, Cognitir created Introduction to Data Science to help both finance and business professionals acquire foundational data science skills that will help them analyze data better.

In this class, participants will learn the Python programming language and how to use it to execute relevant data science techniques on complex data. In addition, participants will learn how to correctly evaluate the results of different data science methods with the aim of being able to draw meaningful business conclusions from them. After this training, professionals will become better, more data-driven decision makers.

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

If you do not have introductory Python skills, you will need to obtain them through Cognitir or another provider. You must satisfy the Python prerequisite before taking this workshop.


Data Science and Machine Learning

An overview of foundational data science and machine learning methods and how they can be used to solve real-world problems

Hands-On Python Programming Experience

All of our classes use relevant, Python-based exercises to help students apply theory to practice. Students write their own Python code during the workshop

Problem Solving Strategies

Understanding of the advantages of data science and specific analytical methods and the kinds of questions they can help answer

Data Visualization and Communication Tips

Understanding of effective data visualization techniques, how to execute data visualization tasks in Python, and how to communicate results to key stakeholders

Collaborative Exercises

Participants will have opportunities to discuss current data science topics with other attendees & their Cognitir instructor and brainstorm practical strategies to improve decision making

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 professionals who want to gain a hands-on introduction to essential data science methods that are utilized in finance and fintech.

Prior Python programming experience is required. Check out our self-paced Introduction to Python online course.

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 must have basic prior Python programming experience before taking this course. Cognitir offers a self-paced Introduction to Python online course if you do not have basic Python skills although our specific introductory Python course is not required for this course; any introductory Python course will suffice.

How is this course different from Data Science for Managers?

This course focuses more on the hands-on technical aspects of data science. Attendees will build computer programs that execute different data science tasks. Data Science For Managers is not programming-based. The course discusses data science as a strategic tool in problem solving and is meant for individuals managing data science, technical, or business intelligence teams.

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.

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