Healthcare Informatics Project Plan
This experience connects industry professionals with Northeastern students specializing in health informatics. They are equipped to tackle clinical, technical, and business challenges in healthcare. Students are trained to leverage technology and information management to enhance healthcare delivery and outcomes. By participating in this program, companies can engage with students who are adept at data extraction, analysis, and implementation, while students gain practical experience and build professional networks that could lead to future collaborations.
Branding and Advertising Innovation Lab
MKTG 4504
Focuses on developing a creative advertising strategy and brand plan that aligns with a company’s overall marketing objectives. Topics include the business of brands, marketing strategy, ethical and legal considerations in advertising, advertising strategy development, media planning and buying, creative development and testing, identifying and measuring success on key performance indicators, historical foundations of advertising, and what’s next in the industry. Students apply course concepts to develop a creative advertising strategy to address campaign objectives.
Financial Data Analytics with Python
FINA 6333
This experience is designed for learners who are developing skills in Python programming specifically for financial data analytics. Participants will gain proficiency in using key Python libraries such as NumPy, Pandas, and Matplotlib to analyze financial data and implement financial models. Learners will be equipped to apply their knowledge to real-world financial scenarios, such as portfolio optimization and risk assessment, making them valuable contributors to industry projects. McKinney Ch. 2 – Python Language Basics, IPython, and Jupyter Notebooks McKinney Ch. 3 – Built-in Data Structures, Functions, and Files Introduction to Python McKinney Ch. 4 – NumPy Basics IntermediatePython McKinney Ch. 5 – Getting Started with pandas Web Data, Log and Simple Returns, and Portfolio Math Data Manipulation with Pandas McKinney Ch. 8 – Data Wrangling: Join, Combine, and Reshape, Joining Data with Pandas McKinney Ch. 10 – Data Aggregation McKinney Ch. 11 – Time Series Earn 10,000 XP 2 Trading Strategies Multi-Factor Models Portfolio Optimization 5 Simulations 1 McKinney, Wes (2022). Python for Data Analysis. 3rd ed. O’Reilly Media, Inc. Welch, Ivo (2022). Corporate Finance. 5th ed. Ivo Welch.
Non-Profit Management Capstone
Integrates theory, practice, case studies, and experiential learning with operational and organizational concepts including, but not limited to, nonprofit law, financial management, human resource management, fund-raising and development, promotions, and grant writing. Aims to synthesize learning in a practical manner.
Managerial Accounting + Finance Projects
Developing or assessing a planning (budgeting) and control process Creating a balanced scorecard Providing focused business analysis such as cost-volume-profit (break-even) or relevant analysis evaluating pricing alternatives budget and planning decision support tools: cost volume profit analysis, relevant cost analysis cost of goods or pricing methods lanning or reporting systems Financial anaylsis about different projects Capital investment decision