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.
Build confidence combining different data types and sources to create sophisticated data models for enterprises across all industries.
At 5-10 hours/week
Get access to the classroom immediately upon enrollment
You’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.
Basic data skills & Excel
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.
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.
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.
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
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.
We provide services customized for your needs at every step of your learning journey to ensure your success.
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Ivan 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 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 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.
Learn BI tools that are in high demand around the globe.
On average, successful students take 3 months to complete this program.
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.
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.
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.
No. This Nanodegree program accepts all applicants regardless of experience and specific background.
Students should have knowledge of the following topics:
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.
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.
Please see the Udacity Program FAQs for policies on enrollment in our programs.
For some of the coursework and final project, learners are required to have access to the following:
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.