90 Days | SCORM | info@imacia.org

Course Description:
This pathway provides both foundational & applied knowledge in business analytics while covering topics in Financial Analytics. Learners will learn operational analytics tools, utilizing Excel options to work with financial data, and begin to integrate concepts into objective financial decision-making. The course covers data analytics capabilities to include predictive and prescriptive analytics to help them deliver smarter financial insights.

Course Duration: 90 days from start date
Start Date: Date of registering and accessing course.
Course Format: Online & self-paced within course duration time frame.
Instructor: Available via in-class messages & in-class meeting capabilities
Contact Email Address: info@imacia.org

Course Objectives:
• Understand general difference of Descriptive, Predictive, and Prescriptive analytics, and how to Compare and contrast data, spreadsheet format.
• Understand the process of sampling & finance data collection
• Demonstrate how to describe financial data by applying and compute descriptive analytics measurements of data sets to demonstrate knowledge and compare metrics between organizations or business.
• Compare and contrast financial data elements used in a spreadsheet format as well as produce Visual Analytics & interpret the meaning of measurement analysis outcomes and use Data Visualization
• Understand the categorization of existing sources of financial data within an organization & evaluate a series of financial measures used in organizations
• Financial Risk Analytics: Integrate risk aversion using simulation and optimization tools, and learn how to manage business objective functions
• Financial Data Modeling and Predictive Analytics: Analyze data using Predictive Analytics tool for possible correlation values and associations of business variable.
• Analyze and use Prescriptive Analytics to enhance business decision-making process and problem solving. Solving Modern Crime in Financial Markets: Analytics and Case Studies.
• Review Analytics and Case Studies: Solving Modern Crime in Financial Markets

Course Outline:
• Foundations of Financial Analytics
• Introducing Business & Data Analytics
• Defining Business Problem
• Formulating & Prioritizing Problem Based Project
• Applying Business Analytics
• Descriptive Analytics
o Visualizing, Graphing & Exploring Data
o Descriptive Statistical Measures
o Probability Distributions and Data Modeling
o Sampling & Estimation
o Statistical Inference
• Predictive Analytics
o Trendline & Linear Regression Analysis
o Forecasting & Time Series Modeling
• Prescriptive Analytics
o Monte Carlo Simulation & Risk Analysis
o Linear Optimization

Made especially affordable for IMACIA Social & Economic Mobility initiative.