Scheduling Note: The Python Data Visualization & Interactive Dashboards module will be added to this program in January 2023. Students who enroll in a Fall/Winter 2022 track will be eligible to attend this module (email Practical Programming to schedule).
In this certificate, students will learn how to use Python to pull, clean, analyze, visualize, and eventually predict off financial data. This program prepares students for entry-level positions in data science and financial technology as well as upskills any financial analyst.
Master Advanced Python to Analyze Financial Data
Learn Python with an emphasis on data extraction, analysis, and visualization. Master the intricacies of the Python language, including a deep understanding of Python libraries of NumPy, Pandas, Matplotlib.
Use Machine Learning to Build Financial Models
Learn how to apply advanced statistical concepts such as regression to build a predictive returns model on real-world financial data. Understand pivotal financial ratios and apply machine learning techniques to build valuation models.
Build Dashboards and Data Visualizations
Use Matplotlib, Seaborn, Plotly, and Dash Enterprise to create data visualizations and interactive dashboards. Deploy your completed projects online with Heroku server and GitHub to showcase to potential employers.
Query Databases with SQL
Learn how to search through data using SQL. Master techniques to convert between data types, build tables, combine data, and create stored processes.