UDACITY - Predictive Analytics for Business Nanodegree Program Full Course Learn Online

UDACITY - Predictive Analytics for Business Nanodegree Program Full Course Learn Online 3.0.0

[New] Predictive Analytics for Business Nanodegree Program
Udacity Business Analyst Course 2019

udacity business analyst nanodegree

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Learn to apply predictive analytics and business intelligence to solve real-world business problems

Predictive Analytics for Business

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.
  • 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
    • A home-goods manufacturer wants to predict expected profits from a catalog launch. You will apply a framework to work through the problem and build a linear regression model to provide results and a recommendation.
  • 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
    • A pet store chain is selecting the location for its next store. You will use data preparation techniques to build a robust analytic dataset and use it to build a predictive model to select the best location.
  • 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 bank recently received an influx of loan applications. You will build and apply a classification model to provide a recommendation on which loan applicants the bank should lend to.
  • 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
    • A chain of coffee shops is considering launching a new menu. You will design and analyze an A/B test and write up a recommendation on whether the chain should introduce the new menu.
  • 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
    • A grocery store chain is planning a significant expansion. You will use multiple analytical techniques to provide recommendations on where and how to expand. After completing the project, you will feel comfortable combining predictive techniques and delivering solutions to complex business problems.
Before You Start

Prerequisites: In order to succeed in this program, you should be comfortable working with data in
spreadsheets. You don’t need any programming experience, but should have basic statistics and math
knowledge.

Educational Objectives: This Nanodegree program prepares you for a career in predictive analytics, and
enables you to master a scientific approach to solving problems with data. You’ll build fluency in two leading
software packages: Alteryx, a tool that enables you to prepare, blend, and analyze data quickly; and Tableau,
a powerful data visualization tool. Over the course of the program, you’ll learn to:
  • Create mental models to clearly define business issues
  • Visualize and prepare data to improve efficacy of predictive models
  • Identify and implement a variety of predictive modeling techniques
Length of Program*: 130 Hours
Frequency of Classes: Self-paced
Textbooks required: None
Instructional Tools Available: Video lectures, mentorship, detailed project reviews


*This is a self-paced program and the length is an estimation of total hours the average student may take to
complete all required coursework, including lecture and project time. Actual hours may vary.

Learn to apply predictive analytics and business intelligence to solve real-world business problems

Data is a transformational force in every business and analysis of data has become a mandatory skill to have to provide value in any organization. If you're interested in fields such as Business Analytics, Forecasting, Classification, and Data Wrangling this course is the perfect course to take. It provides excellent content to first teach you the skills, you will be connected with a mentor, and you will have the opportunity to complete challenging projects that will demonstrate your new knowledge.

What is the difference between the Data Analyst Nanodegree program and the Predictive Analytics for Business Nanodegree program?

The Predictive Analytics for Business Nanodegree program focuses on using predictive analytics to support decision making, and does not go into coding like the Data Analyst Nanodegree program does. You will use software tools (Alteryx and Tableau) rather than open source programming languages. This Nanodegree program also spends more time exploring predictive analytics, and less time on topics like statistics, data wrangling, and data visualization. The Data Analyst Nanodegree program requires coding experience and deeper statistics knowledge. It dives further into data wrangling and analytics using Python and SQL. 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