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Microcredential

Predictive Analytics for Business

Tableau and Alteryx via Udacity Nanodegree

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Overview

Business Analysts are in high demand. In this program, you’ll learn to apply predictive analytics and business intelligence to solve real-world business problems. You’ll do so by building fluency in two leading software packages: Alteryx, a tool that enables you to prepare and analyze data quickly; and Tableau, a powerful data visualization tool. Upon graduating from the program, you’ll be ready to apply for a wide array of Business Analyst roles.
Learn to apply predictive analytics and business intelligence to solve real-world business problems.

Syllabus

Prerequisite Knowledge

Students who enroll should be familiar with algebra and descriptive statistics and have experience working with data in Excel. Working knowledge of SQL and Tableau is a plus, but not required.See detailed requirements.

  • Problem Solving with Advanced Analytics

    In this course, we give you a framework to help you organize and plan your analytical approach. We also introduce both simple Linear Regression and Multiple Linear Regression.

    Predict Sales for a Catalog Launch
  • 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.

    Create an Analytical Dataset
  • 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.

    Predict Loan Default Risk
  • 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.

    A/B Test a Menu Launch
  • 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.

  • 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.

    Combine Predictive Techniques

Taught by

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

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