VIDEO: Recorded Talk - How Machine Learning is Changing Finance with Javed Ahmed

By Carlos Russo • August 20, 2020
business resource

The new Wake Forest University Financial Services and Fintech Hub offers courses on financial industry issues and trends with the goal of meeting ongoing professional development needs in the community. In addition to our team leading courses at the hub (listed below), three of our Corporate Training instructors have taken part in the hub's free summer speaker series, focused on topics related to financial services and fintech.

This week, we invite you to watch Sr. Data Scientist Javed Ahmed's talk on How Machine Learning is Changing Finance, during which he surveys some recent developments and discusses how the changing landscape leads to an urgent need for innovation, driving opportunities for fintech and challenges for traditional firms.

WATCH HERE!

Metis-led Courses at WFU Hub:

Foundations of Data Literacy
This course will help employees develop an appreciation for data and use it as a common language to collaborate, drive results, and make better business decisions.

Machine Learning Foundations
Instructors demonstrate how machine learning techniques are applied to business problems, as well as how to implement these techniques using popular Python libraries. 

Python for Financial Data Analysis 
Individuals in the Financial sector who have basic analytical and programming skills receive an introduction to Python for data analysis with an emphasis on financial applications. 

_____

Learn more about Metis Corporate Training here, and watch WFU talks by other Metis Sr. Data Scientists here and here. 

back to all posts

Similar Posts

business resource
Corporate Training For Non-Technical Employees: Data Analysis Using Spreadsheets

By Carlos Russo • March 04, 2021

Learn about our new Data Analysis Using Spreadsheets Corporate Training course, designed to empower non-technical teams, no prerequisites required.

business resource
How to Build a Data Science Portfolio: The 5 Phases

By Carlos Russo • April 22, 2021

Effective corporate data science portfolios rely on a solid foundation built by identifying challenges, pitching ideas, scoping out pitches, and planning out paths that evolve into strategy success.

business resource
Expand Your Data Science Toolkit with Data Engineering

By Carlos Russo • April 16, 2021

Big data is growing exponentially. To keep up with it, data engineering — a discipline focused on collecting, funneling, and organizing big data into accessible data pipelines — is in urgent demand. Data scientists and other data professionals can fill the gap by extending their capabilities into the world of data engineering with the Data Engineering for Data Scientists Course by Metis Corporate Training. In this course, data science professionals will learn advanced programming, database management, distributed computing, and cloud engineering.