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Data Analytics Foundations

via VDCI

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Overview

Develop a solid foundation in data analytics by working through both descriptive and inferential statistics, and see how data shapes forecasting and strategic decisions across a range of industries. Explore statistical modeling and analysis, covering the essential algorithms, theorems, and real-world applications that bring it all together.

Syllabus

Basic Data Analysis

Measures of Central Tendency
Measures of Position
Measures of Dispersion
The Normal Curve
Descriptive Statistics

Predictive Analytics I

Forecasting
Series Forecast

Data Visualization I

Charts
Icon Sets
Histograms
Moving Average

Predictive Analytics

Correlation
Regression - overview
Regression - analysis
Linear regression
Multiple regression

Probability

Probability I
Probability II
Binomial Probability
Poisson Probability

Prescriptive Analytics I

What If Analysis
Data Table (3 variables)
Scenario Manager
Scenario Manager - Pivot

Data Visualization II

Sparklines
Color Scales
Drawing Shapes
Pivot Tables
Pivot Charts

Prescriptive Analytics II

Solver - overview
Linear Programming
The Solver model
Non-Linear Programming
Evolutionary Solver

Taught by

Garfield Stinvil, Colin Jaffe, and Brian McClain

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