Introduction to Data Science for Finance

The amount of data available to organizations and individuals is unprecedented. Financial services sectors, including securities & investment services and banking, have the most digital data stored per firm on average. As a result, financial companies have been on an innovation and technology push to create new, disruptive technologies that can maximize use of these data assets to solve some of the industry’s toughest problems.

This virtual, interactive class will be held over three sessions on March 15-17th (see the schedule below for details) provides a structured teaching environment where students learn classic data science methods, which are used as the bases for many financial technologies. At the end of the workshop, course participants will have applied the Python programming language and essential data science techniques to solve complex finance problems. Specific areas in finance where the data science skills acquired from this course can be effectively applied include: sentiment analysis, advanced time series analysis, risk management, real-time pricing and economic data analysis, customer segmentation analysis, and machine learning algorithm creation for financial technologies.

What This Course Offers:

• An overview of data science methods relevant to finance and fintech
• Explanation of the hype around data science, machine learning & big data
• Hands-on Python programming experience
• Understanding of effective data visualization techniques using Python
• Course notes, certificate of completion, and post-seminar email support for 1 year
• An engaging and practical training approach with a qualified instructor with relevant technical, business, and educational experiences

Who Is This For:

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.

*Please note that you must have introductory Python programming skills before attending this workshop. Cognitir offers an online Introduction to Python course that you can enroll in and complete if you don’t have basic Python skills. Our specific introductory Python course is not required; any introductory course is fine. You must have basic Python skills before the start of this data science workshop.

View the full Introduction to Data Science for Finance Curriculum

Schedule:

• March 15- 6:00-8:30 PM
• March 16- 6:00-8:30 PM
• March 17- 6:00-8:00 PM

Registration:

Early Bird (ends Feb. 13th)

• CFAW Member: $415
• Non-Member: $519

Regular (ends March 15th)

• CFAW Member: $519
• Non-Member: $623

Register

Early Bird Registration ends February 13th.