Predictive Analytics for Business Nanodegree

Estevam Henrique Orsi Rizek

This repository contains projects for Udacity's Predictive Analytics for Business Nanodegree.

Syllabus.

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.

• Project: Select Location of a New Petstore.

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.

• Project: Forecasting Monthly Sales

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