Nanodegree Program
Learn what business intelligence analytics is and how enterprises use it. Learners will be introduced to how enterprises can effectively combine different data types and sources to create a sophisticated data model, and what strategies can be used to ensure data accuracy and consistency.
Learn what business intelligence analytics is and how enterprises use it. Learners will be introduced to how enterprises can effectively combine different data types and sources to create a sophisticated data model, and what strategies can be used to ensure data accuracy and consistency.
Beginner
3 months
Real-world Projects
Completion Certificate
Last Updated July 7, 2023
Course 1 • 45 minutes
Welcome to Udacity! We're excited to share more about your nanodegree and start this journey with you!
Course 2 • 4 weeks
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 analytics life cycle, data integrity, and the four types of data analytics (descriptive, diagnostic, predictive, and prescriptive). Students who complete this course will be equipped with the skills to identify the data analytics strategy used in a given situation and where they are in the data analytics life cycle.
Course 3 • 4 weeks
The preparation phase is 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, students will be able to effectively source data in Power BI and create a clean and efficient data model for analysis.
Course 4 • 4 weeks
This course introduces students 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 students 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.
Sr. Analyst, Reporting & Insights
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.
Senior Business Intelligence Consultant
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.
Full Stack Data Analytics Specialist
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.
Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.
Demonstrate proficiency with practical projects
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
Gain proven experience
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Apply new skills immediately
Top-tier services to ensure learner success
Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.
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Business Intelligence Analytics
