Please note that you must have taken an introductory Python programming course before attending this workshop. Cognitir will recommend a free, online Python course to participants, but this online course must be completed before the start of this data science workshop.This prerequisite Python course takes attendees, on average, 8-10 hours to complete and does not need to be completed in one sitting.
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 the these data assets to solve some of the industry’s toughest problems.
This one-day, hands-on course 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
- Hands-on Python programming experience
- Understanding of effective data visualization techniques using Python
- Course notes, certificate of completion, and post-seminar email support for 3 months
- An engaging and practical training approach with a qualified instructor with relevant
technical, business, and educational experiences
- A Computer Science 101 pre-course webinar
Who is this for?
This course is relevant for students and professionals who want to gain a hands-on introduction to essential
data science methods that are utilized in finance, fintech, and business.”