Free FIU Data Science One Hour at Bootcamp: Intro Naive Bayes workshop - Register Here
VIDEO: Recorded Talk - Analytics Beyond Excel with Kevin Birnbaum
By Emily Wilson • August 06, 2020
We're proud to be part of the new Wake Forest University Financial Services and Fintech Hub, which 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 (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 Kevin Birnbaum's talk on Analytics Beyond Excel, which addresses how analytics is changing in the era of Big Data and describes how the shift towards business intelligence platforms and computational analytics can help users overcome limitations of spreadsheet analytics.
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.
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.