Real-world projects from industry experts
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Become a business intelligence analyst.
Nanodegree Program
Build confidence combining different data types and sources to create sophisticated data models for enterprises across all industries.
Estimated time
3 Months
At 5-10 hours/week
Enroll by
April 5, 2023
Get access to the classroom immediately upon enrollment
Prerequisites
Basic data skills & Excel
What you will learn
Business Intelligence Analytics
Estimated 3 months to completeYou’ll master the business intelligence tools that enterprises need to ensure data accuracy and consistency. This data knowledge will help enterprises understand future risk, analyze different markets, and make critical decisions. Specifically, you’ll learn skills in Power Query, Power BI, and more.
Prerequisite knowledge
Basic data skills & Excel
Intro to Data Analytics
This course establishes a framework for data analytics as a series of progressive steps starting with the data source and ending with the interpretation of results. We introduce fundamental concepts such as data integrity, the 4 types of data analytics (descriptive, diagnostic, predictive, and prescriptive), and types of statistical analysis. Learners who complete this course will be equipped with the skills to identify the type of data analytics strategy used in a given situation and where they stand in the data analytics lifecycle. This course will also provide a basic overview of Power BI as the tool of choice for this Nanodegree program.
Data Preparation & Modeling
The preparation phase is perhaps the most important step in data analysis. Before data can be effectively analyzed, an effective data model is required, and creating that data model may utilize a wide range of skills. This course teaches the skills needed to load, clean, and organize data in Power Query, and create relational tables in Power Query and Power BI. After completing this course, learners will be able to effectively source data in Power BI and create a clean and efficient data model for analysis.
Predictive Data Analysis
This course introduces learners to a selection of powerful tools in Power BI Desktop that can be used for predictive analysis. Concepts such as classification, regression, and forecasting are discussed in detail, and various techniques are explored with different data sets, allowing learners to practice predictive data analysis with a hands-on approach. The content covered in this course can help an enterprise to understand future risk, analyze different markets, or make other decisions critical to an organization.
All our programs include
Technical mentor support
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
Career services
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Program offerings
Class content
- Real-world projects
- Project reviews
- Project feedback from experienced reviewers
Student services
- Technical mentor support
- Student community
Career services
- 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.
- Experienced Project Reviewers
- Technical Mentor Support
Get timely feedback on your projects.
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Learn with the best.
Learn with the best.
Ivan Vega
Sr. Analyst, Reporting & InsightsIvan Vega is a Senior Analyst, Reporting & Insights at T-Mobile. On evenings and weekends, he teaches both SQL and data visualization courses for master’s programs at St. Mary's College of California. He has been teaching for over 2 years and has been an analyst for over 8 years.
Joseph Lozada
Senior Business Intelligence ConsultantJoseph works at The Planet Group, engaging with clients in the energy industry across the US. He helps clients collect data, set up data infrastructure, and provide data analysis and forecasting to better understand their operations and finances. He also works as an adjunct instructor of Excel and Microsoft Power BI analytics at the Community College of Rhode Island.
Daniel Roca
Full Stack Data Analytics SpecialistDaniel has worked for many years in business intelligence and data science and has used Power BI to find unique patterns in data to support decision-making. He is passionate about solving problems through data analytics, and loves the challenge of finding innovative ways to create efficient and impactful data-oriented solutions.
Business Intelligence Analytics
Get started today
Learn
Learn BI tools that are in high demand around the globe.
Average Time
On average, successful students take 3 months to complete this program.
Benefits include
- Real-world projects from industry experts
- Technical mentor support
- Career services
Program details
Program overview: Why should I take this program?
Why should I enroll?
This program is designed to help you take advantage of the growing need for business intelligence analytics at enterprise organizations. Organizations that leverage BI analytics have better control and visibility over their processes. This means they can boost efficiency in existing processes while predicting challenges ahead. Equipped with your new digital skills, you will be an important asset to future employers. Specifically, you will be able to create a sophisticated data model that can inform business decisions.
What jobs will this program prepare me for?
The business intelligence tools you will gain from this Nanodegree program will qualify you for jobs across all industries as countless companies are seeking better data visibility.
How do I know if this program is right for me?
This program is designed for individuals who want to learn about BI software in order to level up within their current company or land a new role at a different company. If you wish to accelerate your career in data and learn more about business analytics, then we encourage you to enroll.
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?
Students should have knowledge of the following topics:
- Basic understanding of how to read different types of charts
- Basic skills in exploring and communicating data
- Basic knowledge of Microsoft Excel
Tuition and term of program
How is this Nanodegree program structured?
This business intelligence course consists of content and curriculum to support 3 projects. We estimate that learners can complete the program in 3 months working 5-10 hours per week. Your projects 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 until it passes.
How long is this Nanodegree program?
Access to this Nanodegree program runs for the length of time specified 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 FAQs for policies on enrollment in our programs.
Software and hardware: What do I need for this program?
What software and versions will I need in this program?
For some of the coursework and final project, learners are required to have access to the following:
- Windows PC (Windows 10 or greater)
- Power BI Desktop
There are no other software or operating system requirements to complete this Nanodegree program. The remaining coursework can be completed via Student Workspaces in the Udacity online classroom. Udacity’s basic tech requirements can be found here.