Learn how to use Power BI, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. Learn how to connect to datasets, analyze and structure data, customize visualizations, and publish reports.
Learn Power BI for data analysis & visualization and become a certified Power BI Data Analyst Associate in this hands-on certification course.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
Power BI is a collection of data visualization tools that translates complex data into information companies use to forecast, plan, and adapt business strategies. The Power BI collection includes Power BI Desktop, Power BI Mobile apps, and the Power BI service. Companies use these tools to interpret data, create data visualizations, run reports, and more.
The “BI” in Power BI stands for “business intelligence.” Power BI pulls data from multiple sources and streamlines data analysis with AI-driven processes and machine-learning modules. Power BI makes it easy for teams to create visualizations like charts and graphs. Because Power BI is a Microsoft product, it integrates easily with Excel, helping teams track data across Microsoft Office 365.
Healthcare and Life Sciences
Healthcare organizations on Long Island use Power BI to analyze patient data, track operational efficiency, and improve clinical outcomes. Hospitals and medical groups such as Northwell Health, St. Charles Hospital, and NYU Langone Hospital—Long Island rely on Power BI dashboards to visualize patient metrics, monitor staffing and resource allocation, and identify trends in treatment outcomes. By transforming complex healthcare data into actionable insights, these institutions can make faster, data-driven decisions that enhance patient care and optimize administrative operations.
Finance and Banking
Financial institutions and credit unions on Long Island leverage Power BI to monitor financial performance, manage risk, and create real-time reporting for stakeholders. Companies like M\&T Bank, Bethpage Federal Credit Union, and Peoples United Bank utilize Power BI to visualize key metrics, track investments, and analyze customer behavior. These tools allow finance professionals to quickly identify trends, forecast revenue, and improve decision-making, making business intelligence essential for staying competitive in a data-driven industry.
Manufacturing and Supply Chain
Power BI is also widely used in Long Island’s manufacturing and logistics sectors to optimize production, track supply chains, and improve overall operational efficiency. Companies such as Danaher Corporation, Arrow Electronics, and LI United Metal Products implement Power BI dashboards to monitor inventory levels, track shipments, and analyze production performance. By integrating data from multiple sources, these organizations can spot inefficiencies, predict maintenance needs, and enhance productivity, making Power BI a critical tool for operational excellence.
Power BI careers on Long Island include analyst positions such as Digital Analyst and Data Analyst. While many jobs that use Power BI require additional skills beyond proficiency with this tool, understanding Power BI can be an essential step in starting or advancing a career in data analytics.
A 2019 New York State Department of Labor report found that professional, technical, and scientific services employed the fourth-highest number of people on Long Island. The same report projected that the industry would grow by more than 13% through 2026. With such high projected job growth, this is an opportune time to start a career in business analytics.
Working toward a career in analytics can provide an opportunity to significantly increase your salary compared to other Long Island careers. Data Analysts on Long Island make an estimated $70,000 annually. Digital Analysts on Long Island earn around $80,000 per year. This means that analysts on Long Island earn salaries equal to or above the state median income of $70,000 annually. For further comparison, these positions make almost double the wages of a Communications Associate on Long Island, earning around $40,000 per year. Analysts’ salaries also come in well above the $50,000 average salary of a Sales Trainee.
Noble Desktop offers in-person Power BI training close to Long Island, at its Midtown Manhattan facility, or in a live online format. Noble’s Power BI Bootcamp teaches students to create data transparency, import datasets, publish dashboards, develop interactive models, and learn other fundamental skills for navigating Power BI. Small class sizes allow participants to gain personalized guidance from knowledgeable instructors. Hands-on projects prepare students for real-world scenarios and reinforce best practices learned throughout the course.
NYIM Training also offers virtual Power BI classes. You can also search for additional live online Power BI classes from NYC Career Centers.
Corporate training allows entire teams to learn Power BI together through onsite training. Noble Desktop also offers live online training via teleconference and discounted vouchers, which employees can use to join Noble’s open-enrollment classes. Noble Desktop conducts corporate Power BI training on Long Island by teaching onsite at your office. Participants can join classes at Noble’s nearby New York City location or learn remotely through live online training.
To learn more about Noble Desktop’s Power BI training options, please email corporate@nobledesktop.com. An associate will be happy to answer your questions and help you select the best options for you and your team.
Long Island’s professional community is thriving with opportunities for individuals looking to build skills in technology, design, business, and data. The area is anchored by business centers in Melville and Hauppauge and maintains a strong connection to New York City’s industries. If you're looking to work with data in a visual, interactive way, Power BI is a useful tool to learn. It allows you to turn complex datasets into clear dashboards and insights that help businesses make better decisions. Through Noble Desktop’s network of expert instructors, students in Long Island can attain high-quality training led by professionals who understand the local landscape and industry demands. These instructors bring decades of experience and teach in a way that meshes industry knowledge with a commitment to practical instruction.
Noble Desktop has state-of-the-art facilities conveniently located in Midtown Manhattan at 185 Madison Avenue, New York, NY 10016. The campus is centrally located, featuring modern and well-equipped classrooms with access to both PC and Mac desktops. Students benefit from high-speed internet connections and full-time IT support. Moreover, the central location makes it easy to fit your training into your busy schedule. From Long Island, it’s an easy trip to the Noble Desktop facility, accessible by public transportation, from Penn Station, Grand Central Terminal, and several subway lines. If you take the Long Island Rail Road to Penn Station, it’s a short walk to the building.
As a longtime government contractor and instructor, Linda Haynes-Jackson has accrued over 35 years of professional experience delivering training to federal agencies and corporate clients across Long Island and the nation. She delivers training in Customer Service and Section 508 Compliance and across various Microsoft applications, including Excel, Power BI, Power Pivot, Access, Outlook, Word, Teams, and PowerPoint. In the classroom, Linda is well-regarded for her energetic and lively nature, which is clear through her numerous awards for instructional excellence. Moreover, she has taught a wide range of students, from beginners to advanced users, as well as those with specific accommodations. She holds a Bachelor's from Temple University, a Master’s of Arts from Villanova University, and a Doctorate from NYU.
Garfield is an accomplished software trainer based in New York City, with over 16 years of experience spanning data analytics, corporate training, and professional development. He began his career as a Data Analyst for a Wall Street real estate investment firm before shifting focus to shaping learning programs and instructing. He is known as a creative thinker and brings humor to the classroom, making students feel comfortable and engaged. Since launching his training career, he has collaborated with a range of high-profile clients, including Adobe, Amazon, and HBO, and has helped teams translate technical knowledge into real-world insights.
Dan Rodney is a seasoned Web Developer and Designer with over 20 years of experience creating websites as well as courses at Noble Desktop. He’s passionate about the innovations that connect design with tech, and as such, has been a driving force behind AI integration into a variety of creative and business situations. He enjoys building custom InDesign scripts, such as Make Book Jacket and Proper Fraction Pro, and is consistently exploring new ways to integrate AI and animation into his work. His combined passion for and expertise in tech and design position him as an instructor who knows how to help others stay ahead of the curve while acquiring real-world, practical skills.
Brian is an experienced New York-based instructor, curriculum developer, and Web Developer with a strong reputation for his professionalism in both teaching and technology. Before joining Noble Desktop, Brian served as a Director for a coding bootcamp, where he oversaw the design and instruction within the program. In addition, he worked as an Adjunct Professor of Computer Science at Westchester County College. Overall, Brian is an active member of the tech community, also working on app development. His app, Artmink, uses AI to provide appraisals of art and antiques from user-submitted images. He currently teaches courses in JavaScript, Python, web development, machine learning, AI, and Python for data science.