Name: Predictive Analytics for Business
Price: -1 USD
Rating: 4.7 (1 reviews)

Predictive Analytics for Business

Learn to clearly define business issues, prepare and clean data, and implement a variety of predictive modeling techniques.

This lesson will introduce predictive analytics concepts and a general overview of when to use it in your organization. We will also review the project and the primary tool we will use: Power BI.

We will review one Machine Learning technique that involves numeric data: Regression. We will learn about its main features, how to interpret it and how to construct it using Power BI.

We will learn additional ML techniques: Classification and Clustering. We will review its main features, some clustering techniques, how to interpret them and how to construct clusters with Power BI.

We will review what a time-series is. Also, we will review deterministic and probabilistic forecasting methods, how to read and interpret time-series and how to create forecasts using Power BI.

We will review additional ML and AI-powered tools using Power BI: we will focus on Power BI dataflows and its AutoML features and use two AI-powered visuals: the Q&A and the smart narratives.

In this project, students will use the data of past flights departing from the State of New York to analyze and give recommendations about flight delays.

In this lesson, you'll learn how to set up a Windows desktop workspace to use Power BI

Patrick Nussbaumer, Ben Burkholder, Maureen Wolfson, Rod Light and Tony Moses

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4.7 rating at Udacity based on 293 ratings

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Anonymous

I am really enjoying the Nanodegree. It feels good to be able to complete a relevant project and to learn new skills alongside. I enjoyed doing the work myself. I could relate to doing the same in a paid employment. It increased my confidence level in the skill. Thanks