In this Predictive Analytics for Business program, we are applying predictive analytics and business intelligence to solve real-world business problems using Alteryx, Tableau, Python, SQL, and statistics.
The nanodegree is broken into 6 main courses:
- Problem Solving with Advanced Analytics: covers topics like analytical framework, simple Linear Regression and Multiple Linear Regression.
- Data Wrangling: is all about working with different data types, dirty data, and outliers. It also involves reformatting data and joining data from different sources together.
- Classification Models: covers the use of binary and non-binary classification models to drive business insights.
- A/B Testing: invovles planning and executing the analysis of an AB test which allows you to provide confident recommendations.
- Time Series Forecasting: focuses on how to use ETS and ARIMA models to forecast data and deal with trends and seasonality.
- Segmentation and Clustering: are effective methods for finding patterns in your data. In this course, you will learn how to prepare data to be clustered appropriately and interpret results.
Here are the projects done using Alteryx, Python, and Tableau:
- Project 1: Diamond Price Prediction
- Project 2: Predict Sales for a Catalog Launch
- Project 3: Create an Analytical Dataset
- Project 4: Predict Loan Default Risk
- Project 5: A/B Test a Menu Launch
- Project 6: Combine Predictive Techniques