Stephanie Powers

Why Do Marketing Research

Text Mining in Python - Word Count

Classification Model in Python - Gradient Boosting Machine (GBM)

Impact on Supply and Cost Curves of Cutting Cost or Adopting New Technology

Classification Model in Python - Random Forest

Classification Models in Python - Use Cases

Introduction Classification Models

Text Mining in Python - Ngrams

Confidence Intervals for the Mean

Poisson Regression in Python

Data Visualization in Python - Parts of a Whole - 2 Variable

Webscraping Static v Dynamic Websites

Random Variables

Annotating PDFs in Adobe Reader

Normal Distribution

Product Layout

Web Analytics: YouTube Data

Indifference Curves Special Cases

Text Mining in Python - Zipfs law

Using Pivot Tables in Excel to Create Pie Charts, Bar Graphs, and Relative Frequency Tables

Identify Types of Discrete Distributions

Cluster Analysis in Python - Dendrograms

Case Control Studies in Observational Research

Regression

Types of Experimental Design

Leading Teams

Application of Central Limit Theorem to Means

Hypothesis Testing: Correlation

Hypothesis Testing: One Sample T-Test

Gauge Charts in Python

PESTEL

Uniform Distribution

Linear Regression in Python

Average Total Cost, Average Variable Cost, and Average Fixed Cost

Cluster Analysis in Python - KMeans and Elbow Method

Text Mining in Python - Open Ended Survey Questions

Example Problem: Average Fixed Cost

Why Do Marketing Research

Steps of a Hypothesis Test

Standard Deviation and Variance in Python

Observational Studies v Experiments

Hypothesis Testing: Two Sample Pooled T Test

Assembly Line Balancing

Mathematical Operators and Defining Functions in Python

Data Visualization in Python - Association (relationship) of Variables

Text Mining in Python - Tokenize

Classification Model in Python - Support Vector Machine (SVM)

Text Mining in Python - Count Vectorizer

Using Excel to Do Trend Forecasting

Calculating Exchange Rate

Obtaining a Sample