Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Become proficient in Microsoft Excel and go from beginner to pro with our hands-on Excel Bootcamp. Learn functions, formulas, Pivot Tables, macros, and time-saving techniques to conquer all the key skills needed to excel in Excel.
Learn how to use Tableau, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. This course will teach you how to connect to datasets, analyze and structure data, customize visualizations, and publish your work.
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 the fundamentals of data analytics, including descriptive and inferential statistics, and how different industries and organizations use data for forecasting and decision-making. Explore statistical analysis and modeling, including statistical algorithms, theorems, and models.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Automate and enhance the data analysis process with artificial intelligence (AI). In this course, you'll learn how to utilize AI tools to collect, preprocess, analyze, visualize, and interpret data without the need for extensive coding knowledge.
Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.
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.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn Tableau for data visualization and become a certified Tableau Desktop Specialist in this hands-on certification course.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Learn Power BI for data analysis & visualization and become a certified Power BI Data Analyst Associate in this hands-on certification course.
Boost your resume with a Microsoft Excel Certification. Our program offers three courses, private training, the Specialist Exam fee with free retake, lifetime access to Excel video courses, and free exam proctoring.
Data analytics is a broad term that covers the process of analyzing collected information to draw a data-driven conclusion. With our high-tech and digital economy, the need for professionals with data analytics skills is in high demand. Companies in nearly every industry work to gather data and make decisions based on the findings. While it can seem easy to collect data from sources like social media or trends, analyzing the information and making solid conclusions can feel challenging for those who are new to the field.
Data analytics professionals provide companies with valuable information and ways to make the collected data more manageable and easier to digest. Without Data Analysts and other professionals in the industry, companies and different areas of our world would struggle to draw useful conclusions and make sense of intricate findings. Many people are surprised to learn that the backbone of data analytics is programming languages like Python that are used to understand and clean data.
Healthcare and Life Sciences
Data analytics is crucial in Long Island’s healthcare and life sciences sector, helping hospitals and medical research organizations improve patient outcomes, streamline operations, and advance medical discoveries. Hospitals and healthcare systems such as Northwell Health, St. Joseph’s Hospital, and NYU Langone Hospital—Long Island use analytics to monitor patient flow, predict staffing needs, and identify trends in patient care. Biotech and pharmaceutical companies leverage data analytics to accelerate research, optimize clinical trials, and make evidence-based decisions, ensuring better results for patients and more efficient processes for providers.
Finance and Banking
The finance and banking industry on Long Island relies heavily on data analytics to assess risk, detect fraud, and make informed financial decisions. Institutions like Bethpage Federal Credit Union, M\&T Bank, and Peoples United Bank use predictive analytics and business intelligence tools to identify market trends, tailor financial products to customer needs, and optimize investment strategies. Data-driven insights allow these organizations to improve operational efficiency, enhance customer experiences, and remain competitive in a rapidly changing financial landscape.
Retail, Marketing, and Ecommerce
Retail, marketing, and ecommerce companies on Long Island use data analytics to understand customer behavior, forecast demand, and optimize marketing campaigns. Companies such as Brooks Brothers, Canon USA, and CVS Health analyze large datasets to track consumer trends, improve inventory management, and personalize promotions. By leveraging analytics, these businesses can make smarter decisions, boost customer satisfaction, and maximize revenue, demonstrating the growing importance of data-driven strategies across the region’s commercial landscape.
Some of the most common data science careers on Long Island include positions like Digital Analyst and Business Analyst that have a salary of around $80,000. With New York State’s average annual salary coming in at just $70,000, it’s clear that even an entry-level data analytics career on Long Island has lucrative benefits. It’s important for applicants to have some experience with fundamental programming languages, as this is the backbone of the field. The finance and tech industries are the driving forces of New York’s economy, which is why a variety of tech companies in NYC are hiring data analytics professionals.
Students who take data analytics classes from Noble Desktop attend classes at the school’s state-of-the-art facility located in Midtown Manhattan. The campus is within one mile of Penn Station, which can help to make the commute easier for those located further from the city. Noble’s modern facility has a fully equipped computer lab and a strong internet signal available for students to use, and all the software needed to complete class projects. The class sizes in data analytics courses are small so that students can gain real-world experience completing projects and collaborating on ideas with classmates. These small and intimate class settings are a great opportunity for students to build network connections that can help them succeed in the industry.
All of Noble’s in-person data analytics classes offered at the facility in Manhattan are available for students to take live online. This means that regardless of scheduling restraints or physical location, students will be able to complete classes from recognized industry experts.
If you are looking to take one of Noble’s data analytics classes, there is a wide selection available in the online course catalog. The Python for Data Science Bootcamp is open to beginners and teaches the fundamentals of programming language all the way through to analyzing real-world datasets. Noble’s Data Science Certificate course runs for 84 hours and teaches the skills needed to start a career in the data science industry. Students who want to learn how to manipulate and analyze data should look into the Data Analytics Certificate training from Noble that teaches students tools like SQL, Excel, and Tableau.
Noble’s affiliate schools, NYIM Training and NYC Career Centers, offer a wide array of classes in both workshop and bootcamp formats. NYIM Training’s Data Analytics Bootcamp teaches skills needed to master data analysis and visualization tools like Excel and Tableau. Practical Programming is another affiliated school that has a Data Science Immersive course that covers the ins and outs of the Python programming language. The course runs for 30 hours and has small class sizes to ensure each student is able to collaborate with expert instructors.
NextGen Bootcamp is an affiliate of Noble Desktop that has summer data science classes for high schoolers on Long Island. These courses provide an excellent opportunity for high school students to jump-start their careers in various industries such as data science, finance, coding, and design. NextGen’s summer data science classes are held at Noble’s facility in Midtown Manhattan, where students have access to a state-of-the-art computer lab equipped with the software needed to succeed in class.
NextGen’s Python Data Science Summer Program is a 2-week course that teaches the Python programming language for data science and machine learning. The program starts with fundamental concepts and works through to using tools like Pandas and Matplotlib. Prior coding experience is not needed to take this course, though students can expect to learn how to input and graph collected data. Any of the in-person summer data science classes on Long Island are also available online for students who are unable to travel to the Manhattan campus.
If you are looking for a way to reskill your team and make sure all of your employees have valuable data analytics skills, consider a corporate training course from Noble Desktop. Providing data science and analytics training for your team gives your company leverage when it comes to visualizing data through tools like Excel. Having a group of staff who understand the Python programming language is valuable and can help with decisions in many areas of your business.
Noble’s onsite and corporate data analytics training is customizable and can feature specific areas of study that meet your specific company needs. You can choose from onsite training at your location, or groups are welcome to receive private training at Noble’s facility in Manhattan. Teams that study at Noble’s location can take advantage of the school’s central location and modern computer lab available for student use. Virtual classes are available live online for those with strict schedule restraints and are conducted via teleconferencing software. Companies can purchase group class vouchers at a discounted rate for open enrollment classes that are frequently scheduled in a variety of different subject areas.
Are you considering corporate or onsite data analytics training for your team but are unsure if it’s the right choice for your company? Send a message to corporate@nobledesktop.com, and an associate will be happy to provide a free consultation.
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. Data analytics lets you take raw data and transform it into an actionable insight that leads to better business decisions. By learning how to collect, organize, analyze, and interpret data, you can solve problems and make a real difference in the company's success. 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.