Predictive Analytics for Business Nanodegree
Felipe Mahlmeister
This repository contains projects for Udacity's Predictive Analytics for Business Nanodegree.
Part 1: Problem Solving with Advanced Analytics
Learn a structured framework for solving problems with advanced analytics. Learn to select the most appropriate analytical methodology. Also was introduced both Linear Regression and Multiple Linear Regression.
- Project: Predict Sales for a Catalog Launch
Part 2: Data Wrangling
Data Wrangling is at the core of all data activity. In this course you learn how to work with different data types,dirty data, and outliers. You will also learn how to reformat data and join data from different sources together.
- Project: Create an Analytical Dataset
Part 3: Classification Models
Classification models are a powerful tool for business analyst. In this course, you learn more about binary and non-binary classification models and how to use them to drive business insights.
- Project: Predict Loan Default Risk
Part 4: A/B Testing
Helping businesses make the best decisions is an essential part of Business Analysis. Planning and executing the analysis of an AB test allow you to provide confident recommendations. In this course, you learn how to create, execute, and analyze an AB test.
- Project: A/B Test a New Menu Launch
Part 5: Time Series Forecasting
Time Series Forecasting is a powerful analytical tool. In this course, you learn how ETS and ARIMA models are used to forecast data and how they deal with trends and seasonality. These skills will be evaluated in the final project.
Part 6: Segmentation and Clustering
Segmentation and Clustering are effective methods for finding patterns in your data. In this course, you learn how to prepare data to be clustered appropriately and interpret results.
- Project: Combine Predictive Techniques