John Nolan: Qualifications

Coursework

Time Series Analysis
Finance, Econ
Portfolio Management
Finance, Econ
Investments
Finance, Econ
International Finance
Finance, Econ
Introduction to Computer Science
Finance, Econ
Introduction to Programming with Python
Finance, Econ
Computing for Data Analysis
Finance, Econ
Data Analytics for Business
Finance, Econ
Introduction to Analytics Modeling
Finance, Econ

Key Concepts

Python
Programming for data analysis, machine learning, and automation.
SQL
Querying and managing relational databases.
C
Building predictive models with scikit-learn.
R
Building predictive models with scikit-learn.
Data Visualization
Creating dashboards with Tableau and Matplotlib.
Flask
Developing web applications and APIs.
Financial Analysis
Modeling financial data and forecasting trends.
Time Series Forecasting
Modeling financial data and forecasting trends.
Market Analysis
Modeling financial data and forecasting trends.
APIs
Modeling financial data and forecasting trends.
Data Wrangling
Modeling financial data and forecasting trends.
Business Metrics
Modeling financial data and forecasting trends.
Risk Management Strategies
Modeling financial data and forecasting trends.
Portfolio Optimization/Analysis
Modeling financial data and forecasting trends.
Computational Thinking
Modeling financial data and forecasting trends.