Business/Data Analytics

Businesses today have access to more data than ever. Learn decision making tools such as Cluster Analysis, Linear Regression, Outlier Detection, Decision Stumps, Monte Carlo methods, and more in our Business/Data Analytics class.

Lesson 1: Data Mining Principles
Introduction: Data-Analysis Process

• Topic A: Data Science, Engineering, and Data-Driven Decision Making
• Topic B: Data Processing and “Big Data”
• Topic C: Data-Analytic Thinking
• Topic D: Data Mining and Data Science Principles

Lesson 2: Statistical Data Analysis using Excel functions
Data Analysis Using Excel

• Topic A: Analytics Techniques and Statistics
• Topic B: Analyzing and Cleaning Data
• Topic C: Manipulating Data Using Functions
• Topic D: Analyzing Data Using Data Analysis Tools

Lesson 3: Exploratory Data Analysis and Visualization
Exploring Data Statistics/Probability

• Topic A: Time series data and Forecasts
• Topic B: Visualization techniques and Scatterplots
• Topic C: Statistical Functions and Predictive Analysis
• Topic D: Decision Models

Lesson 4: Data Conditioning and Modeling
Data Analytics Lifecycle Overview

• Topic A: Data Conditioning
• Topic B: Model Planning and Model Building
• Topic C: Regression Analysis
• Topic D: Naive Bayes, particularly Bayesian updating
• Topic E: Cluster Analysis (K-means)

Lesson 5: Business Data Analytics
Business Data Analytics Projects

• Topic A: Business Data Mining Techniques
• Topic B: Business Intelligence (BI) and Analytics
• Topic C: Data Analytics Tools
• Topic D: Data Management Systems
• Topic E: Certified Analytics Professional (CAP) Mock Test Review

Note:

Effective July 1, 2020, all customers are required to wear a mask or face covering at all times while in our building, to prevent the spread of COVID-19. Temperature checks may be conducted at the door, and people with a fever will be required to reschedule their visit.