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Estimated Time
3 months
At 10 hrs/week
Enroll by
December 22, 2021
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Prerequisites
Algebra, Descriptive Statistics, and Excel
In collaboration with
What You Will Learn
Syllabus
Predictive Analytics for Business
Related NanodegreesPrerequisite 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.
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.
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.
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.
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.
The Global Business Analytics Market is expected to reach $71.1 billion by 2022!
Program OfferingsFull list of offerings included:
Enrollment Includes:
Class Content
Content Co-created with Alteryx
Real-world projects
Project reviews
Project feedback from experienced reviewers
Student Services
Technical mentor support
New
Student community
Improved
Career services
Resume support
Github review
Linkedin profile optimization
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Get timely feedback on your projects
Reviews By the numbers
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Reviewer Services
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
Mentors available to answer your questions
Mentors by the numbers
1,400+ technical mentors
0.85 hours median response time
Mentorship Services
- Support for all your technical questions
- Questions answered quickly by our team of technical mentors
Learn with the best
Patrick Nussbaumer
Instructor
Patrick Nussbaumer is Technical Activation Director at Alteryx, Inc. Prior to Alteryx, Patrick has spent the past 20 years in a variety of roles focused on data analysis, telecommunications, and financial services industries.
Ben Burkholder
Instructor
Ben Burkholder is a senior solution engineer at Alteryx, Inc. In this role he works extensively with clients to help develop plans to solve complex business problems around data preparation, geospatial analysis, and predictive analytics.
Maureen Wolfson
Instructor
Maureen Wolfson is a Solution Engineer at Alteryx, Inc. She has more than 20 years of data analysis expertise specializing in data, customer and geospatial analysis.
Rod Light
Instructor
Rod Light is a Solutions Engineer Practice Lead at Alteryx, where he helps customers and prospects design data analytics solutions for their businesses using Alteryx.
Tony Moses
Instructor
Tony Moses is a Solutions Engineer at Alteryx, Inc. He works with customers to help develop plans to solve complex business problems around data preparation, geospatial analysis and predictive analytics.
Predictive Analytics for Business
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Best Value
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Learn to apply predictive analytics and business intelligence to solve real-world business problems
Average Time
On average, successful students take 160 months to complete this program.
Benefits include
- Real-world projects from industry experts
- Technical mentor support
- Career services
Related Nanodegree Programs
Business Analytics
Nanodegree Program
Learn the foundational concepts of data analysis.
Beginner
This program
Predictive Analytics for Business
Nanodegree Program
Intermediate
Program Details
PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
Why should I enroll?
This Nanodegree program offers you the opportunity to master analytical skills valued by top employers, while establishing a portfolio of work demonstrating your ability to solve business problems. After graduating, you will have the skills needed to join a large corporation or a small firm, or even go independent as a freelance business analyst.What jobs will this program prepare me for?
As a graduate of this program, you will be well prepared to fill a wide array of business analyst roles. These include: Business Analyst, Business Intelligence Analyst, Market Analyst, Data Analyst, Business Systems Analyst, Product Manager, System Analyst, and Management Consultant.How do I know if this program is right for me?
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. Because data analysts are expected to do a lot more data cleaning, model making, and data processing, this Nanodegree program is accordingly more technical than the Predictive Analytics for Business Nanodegree program.
ENROLLMENT AND ADMISSION
Do I need to apply? What are the admission criteria?
No. This Nanodegree program accepts all applicants regardless of experience and specific background.What are the prerequisites for enrollment?
We expect students to have basic statistics and math knowledge, including familiarity with descriptive and inferential statistics. Students should also be familiar with basic algebra in order to understand the mathematical models that will be presented in the Nanodegree program.If I do not meet the requirements to enroll, what should I do?
We have a number of Nanodegree programs and free courses that can help you prepare, including:
TUITION AND TERM OF PROGRAM
How is this Nanodegree program structured?
The Predictive Analytics Nanodegree program is comprised of content and curriculum to support five (5) projects. We estimate that students can complete the program in four (4) months, working 10 hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.How long is this Nanodegree program?
Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.Can I switch my start date? Can I get a refund?
Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.What is the School of Data Science, and how do I know which program to choose?
Udacity’s School of Data consists of several different Nanodegree programs, each of which offers the opportunity to build data skills, and advance your career. These programs are organized around career roles like Business Analyst, Data Analyst, Data Scientist, and Data Engineer.
The School of Data currently offers three clearly-defined career paths in Business Analytics, Data Science, and Data Engineering. Whether you are just getting started in data, are looking to augment your existing skill set with in-demand data skills, or intend to pursue advanced studies and career roles, Udacity’s School of Data has the right path for you! Visit How to Choose the Data Science Program That’s Right for You to learn more.
SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
What software and versions will I need in this program?
For this Nanodegree program you will need a computer, Internet, and access to a Windows environment. If you use a Mac computer, we will have instructions on how to set up your computer with a Windows environment.