Explore data analytics through Excel, SQL, and Tableau programs. You’ll learn to identify trends and translate data into clear visual stories.
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 refers to the science of analyzing and interpreting datasets to provide insights that can affect business decisions. Though often conflated with data science, the role of a Data Analyst differs significantly from that of a Data Scientist in significant ways. Data Scientists typically extract and prepare data, whereas analysis requires a data professional to provide conclusions.
Analytics professionals hold a variety of disparate titles, including:
However, Data Analyst job postings often include additional information in the title, like:
Finally, varying data analytics roles specify a level in a job listing, such as:
When searching for Data Analyst roles, be prepared to sort through numerous listings. These may not include the word data in the title, though the job description typically references multiple data-centered skills and tools. Read on to learn more about this fascinating field.
The applications of data analytics training depend on a user’s skills, knowledge, career goals, and other factors. Some students learn data analytics for business or finance roles, while others pursue careers in data science. To launch a career as a Data Analyst or Data Scientist, you must learn computer programming languages like Python or R, platforms like Apache Spark, and tools like Tableau or Power BI. Consider the following tasks you can perform using data analytics:
The data analytics field is so broad that multiple factors affect what you will learn in a course. For example, a data analytics novice might take a short introduction to principles and skills. However, another might enroll in an immersive bootcamp or certificate program. The length and cost of the course, whether it is available full-time, part-time, or both, and the student’s goals are all factors. Many data analytics classes cover Python, Structured Query Language (SQL), and Tableau. Check out how these tools can apply to data analytics:
While you might enter training with Excel experience, you’ll need to learn how it applies to data analytics. Long an industry-standard for data management and visualization, many companies still use it for their analysis. You might move on to newer tools like Tableau or Power BI, but Excel is an excellent place to start, and it is a primary subject in many data analytics courses.
The utilitarian Python programming language is essential to Data Analysts, Data Scientists, Machine Learning Engineers, and many other data professionals. Most data analytics courses cover beginner-level, intermediate, or advanced Python for data science, automation, machine learning, or all three. Top Python libraries for data analytics include BeautifulSoup, Matplotlib, NumPy, and Pandas, to name a few.
Many different types of tech pros use Structured Query Language (SQL) to store, query, and process information in relational databases. SQL is a staple in a data science and analytics class, whether it features SQL Server, MySQL, PostgreSQL, or another option. Data pros who use SQL the most include:
Visualization is another essential skill for Data Analysts. Many learn platforms beyond Excel. The top business intelligence tools for data visualization include Microsoft Power BI and Tableau, and most data analytics courses include training in one or the other. You can read online articles comparing and contrasting the two, but chances are that your first data analytics job will require at least one of them.
Although most people new to data analysis have some math skills from their schooling, only some have a deep background in probability and statistics. This aspect of mathematics is essential to data analysis. However, it might not feature in a data analytics class. Statistics help Data Analysts and other data pros comprehend complex datasets, and students with a statistics background may have an advantage when training.
As in other aspects of data analytics, the difficulty of learning depends on multiple factors. For example, students who attend workshops on Python programming, SQL, or even Microsoft Excel often come to data analytics training with relevant skills. Additionally, the data analytics field itself is complex and multifaceted. Becoming familiar with a skill is not the same as being an expert, and data analytics training typically covers multiple skills and tools. Anyone planning to be a Data Analyst, Business Analyst, or Financial Analyst should consider enrolling in a bootcamp or certificate program that features analytics or includes it within a broader data science curriculum.
Most data analytics students report that the most challenging aspect of learning is integrating many disparate tools and skills. Python or R, MySQL or SQL Server, and Power BI or Tableau can all fit comfortably within a data analytics curriculum. On the other hand, some learners find the challenge of integration an acceptable one, struggling only with one skill or platform. Because immersive bootcamps typically build training modules on previous lessons, this strategic approach can make learning data analytics seamless.
The time it takes to get comfortable experimenting with data analytics will differ from how long it will take to learn this field for a career. If someone decides to learn SQL to handle large datasets, they can learn the fundamentals in a few days or hours. However, training to be a Data Analyst can take months or even years. Consider enrolling in an immersive bootcamp or certificate program to qualify for an entry-level data analytics role.
While not entirely controversial, not all experts agree about whether in-person data analytics is essential. Many bootcamps and certificate programs are available live online, and some participants prefer the convenience of a virtual training program.
Before choosing data analytics training, consider the three most popular types of courses: in-person, live online, or asynchronous (on-demand).
What you learn alongside data analytics depends on two main factors: your current knowledge and skill set, and how you plan to use your data analytics skills.
Several additional platforms and programs may be essential for data analytics in a general business setting. However, a financial role for data analytics can require multiple other tools. Consider the following:
Data analytics skills are essential to nearly every industry, from governmental agencies to multinational corporations. In the D.C. area, several top industries require data analytics professionals with diverse knowledge and skill sets. Consider the following sectors if you plan to launch a new data-centered career:
While it dipped during the COVID pandemic, the hospitality and tourism industry in the Washington-Arlington-Alexandria metropolitan statistical area (MSA) is nearly back to pre-pandemic levels. Data analytics is essential to tourism, especially in an area like the nation’s capital, which hosts over 25 million visitors annually. Companies and organizations, including everything from the Smithsonian Institution to Marriott International, with nearby headquarters in Bethesda, Maryland, benefit from data analysis. Hospitality and tourism-related entities rely on data analytics to predict when certain products or services are in the highest demand, monitor the economic impact of certain events, and personalize marketing campaigns.
Media and communications is another sector driving growth and innovation in the D.C. metro area. This sector accounts for around $10 billion in wages and salaries, a substantial figure. Media and communications firms, such as The Washington Post, NPR, Politico, and Axios, rely on data analytics to provide actionable insights in a concise timeframe. While media organizations in D.C. include the Washington Post, NPR, and National Geographic, the federal government also supports multiple international media outlets.
The professional services sector includes numerous companies and positions, including advertising, engineering, law, private medical practices, and BFSI (banking, financial services, and insurance. The role of data analytics in these organizations varies from risk management to marketing to predictive analytics. The Washington-Arlington-Alexandria MSA boasts a growing professional services sector, representing around half a million employees. Many work for major employers such as Capital One in nearby McLean, Virginia, as well as business services groups like PwC.
Topping most lists for D.C. industries, the government adds the most value to D.C.’s gross domestic product (GDP). Around one-fourth of the area residents are federal government employees. Data analytics in government ranges from analyzing government contract spending patterns to obtaining data for strategic planning. Many government agencies and departments, such as the U.S Census Bureau and the Department of Health & Human Services, hire Data Analysts to uncover trends in population growth or public health metrics. Even the U.S. Postal Service employs analysts for operations, logistics, and customer behavior modeling.
Besides the obvious choice of Data Analyst, a tech pro in D.C. with data analytics training can work in multiple roles in nearly every industry. Consider the following top options, with recent salary data provided by Indeed:
Many Data Scientists begin their careers as Data Analysts. Among the most respected data science professionals, Data Scientists command impressive salaries. In Washington, D.C., the estimated total pay for a Data Scientist is around $126,000 annually, which is about the same as the national average.
Business Intelligence Analysts work with multiple tech tools, from SQL to Tableau or Power BI. D.C.-area BI Analysts can anticipate earning an average annual salary of around $110,000, not including bonuses or other compensation. This is 11% higher than the national average, and there are ample opportunities to put BI skills to work.
Financial Analysts in Washington, D.C., work in numerous industries, from the public sector to private aerospace and defense companies. Their average base salary here is about $95,000 annually, comparable to national averages. Financial Analysts in D.C. earn roughly 16% more than the national average.
Noble Desktop offers multiple data analytics bootcamps and certificate programs appropriate for Data Analysts, Financial Analysts, or Business Analysts. Check out the Data Analytics Certificate, Data Science & AI Certificate, Business Analyst Certificate, or FinTech Bootcamp to learn more.
There are also shorter courses that cover useful skills within the field of data analytics, such as Tableau, SQL, Excel, Power BI, Python, AI, and more. These vary in length but are all solid and quick ways to gain a foundational understanding of data analytics and data analytics tools.
Would your team benefit from data analytics training? Noble Desktop offers corporate and onsite training you can take at your location or live online from anywhere. Topics include Excel, Python, Tableau, SQL, and Power BI, to name a few.
If you want more flexibility in scheduling, Noble Desktop can provide vouchers for bulk purchases of open-enrollment courses. Employers get discounts when purchasing in bulk. Contact Noble Desktop for more information and a free consultation.
As the nation’s capital, Washington, D.C., is a hub for government, public service, and major organizations, which means there’s ample opportunity for professional development. If you’re looking to expand your knowledge in the field of tech, data, business, or design, you can explore training options available to both individuals and federal professionals. Classes are right in the heart of the city, offering knowledgeable instructors with decades of combined training and a wide range of specializations. From their real-world experience in the field, these instructors provide valuable insights that help students get comfortable while learning the material. Not to mention, the skills they develop in the classroom are practical and transferable, meaning students can put their newfound knowledge right to work.
Training with Noble Desktop’s team is easy with the modern facilities located at 600 Maryland Avenue SW, Washington, D.C., 20024. It’s mere steps away from L’Enfant Plaza and offers an array of benefits, like a professional yet welcoming environment and a modern workspace. Getting there from anywhere in D.C. is straightforward, whether by Metro, bus, or car. L’Enfant Plaza is served by multiple Metro lines, and there are several bus routes that stop nearby. Those driving can also access parking garages that are easily within walking distance.
Data analytics plays a key role in shaping policy, managing programs, and interpreting information across the D.C. region. With this, the instructors at Noble Desktop teach students how to work with datasets, build dashboards, and apply analysis methods used in real organizational settings. Learning at this school also offers a wide range of professional development opportunities, with classes led by expert instructors who can help you acquire skills that get you ready for the real world.
Brian is an educator and training leader passionate about helping professionals grow in fields like project management and AI. He designs adaptive learning programs that combine instructor-led sessions, live online experiences, and self-paced study, making training practical and within reach for anyone. Brian’s work also centers heavily around AI integration, particularly in training situations to show organizations how easy it can be applied to the workplace, showing ways to tackle real-world problems, enhance leadership, streamline projects, and support better decision-making. Beyond teaching, he has also developed curricula and led training on a massive scale. Brian’s blend of talents and interests makes him well-positioned to train others and help them navigate the complexities of the subject matter.
With more than 25 years of experience, Clarissa is a seasoned corporate trainer, Project Manager, and Business Consultant and has helped professionals and organizations alike achieve tangible results around the world. Her work has taken her to amazing places around the world, from China to Africa, training over 10,000 participants in leadership, project management, business analysis, and emerging technologies. Clarissa has worked with teams at NASA, Microsoft, Citibank, and FEMA, just to name a few, and is known for designing interactive yet practical sessions where her listeners can apply their skills immediately. At Graduate School USA, she played a pivotal role and contributed to numerous programs, including the Managing for Results course. She’s a quality instructor, focusing on subjects like project management, AI, and even Adobe, and has a heavy commitment to professionalism, innovation, and student success.
Michele’s professional record in Human Resources, organizational development, and leadership training has been acquired over 25 years in the field. She is a Business Strategist and HR innovator who has helped public, private, federal, and higher education organizations on their path to success. In particular, Michele excels in organizational assessment, project and performance management, workforce development, change management, conflict resolution, and AI initiatives. She prides herself on guiding individuals to leverage their strengths while fulfilling their professional lives. Her consulting work includes leading the DC Courts HR Division’s Five-Year Strategic Plan and Workforce Development Program, “Fulfilling Our Future.” She’s also held senior executive positions at Howard University, the Air Line Pilots Association, and Executive Transitions International. She’s currently working as an adjunct faculty at Graduate School USA and Anne Arundel Community College.
Alan Zucker brings real-world expertise from both the federal government and Fortune 100 companies to the classroom. With more than 25 years of professional work in project management, he makes for an ideal instructor. He has managed the project execution organization of 175 professionals, led high-visibility strategic initiatives, and delivered thousands of successful projects. His education began at George Washington University, where he earned his Bachelor’s, before progressing to earn a Master's in Economics from the University of Maryland. Moreover, he holds a wide variety of certifications, such as the Project Management Professional Certification (PMP), PMI-ACP, Disciplined Agile Coach, SAFe Program Consultant, Certified Scrum Professional, and Agile Leadership Academy Trainer. Alan is an active member of the project management community, having served as a keynote speaker, frequent industry commentator, and author of nearly 150 articles on project management.
Tashea is a Human Resources Executive and Federal Consultant, holding over 23 years of experience across multiple federal agencies, including the Departments of Homeland Security, Justice, Treasury, State, and Health and Human Services. Known for her ability to strategize and take the lead, Tahsea has transformed HR policies to align with mission strategies and outcomes, influencing government-wide procedures such as onboarding and pay equity. Tashea is a staunch advocate for ethical leadership, inclusivity, and organizational success. In addition, she prides herself on her authenticity and purpose-driven spirit, which translates into her work as an educator as well. In addition to teaching subjects like AI. She’s an author and entrepreneur, and is always looking for ways to help organizations and individuals alike.
With a strong foundation in federal human resources management and legal counseling, Charles is a highly knowledgeable Employee and Labor Relations Consultant in Washington, D.C. He began his education at Loyola University, earning his B.A. in Business Administration and Political Science, before graduating from the University of Baltimore School of Law. Throughout his career, Charles has guided agencies through complex HR and labor-related challenges, managed HR programs, and represented organizations in legal proceedings. He has also designed and delivered specialized training in human resources, project management, and marketing. Charles’ professional background has led to numerous accolades and awards, showcasing his impact in the field.
Dr. David E. McCullin, better known as Dr. Mac, specializes in strategic communication, homeland security, data analytics, and accurate decision-making. Prior to his work at Graduate School USA, Dr. Mac obtained his Bachelor’s in Engineering, his Master’s in National Security and Strategic Studies, and a Doctorate in Management of Complex Adaptive Systems. He served 24 years in the U.S. Army, including 13 in Special Operations. He later worked at the Department of Homeland Security as an Intelligence and Infrastructure Security Analyst for nearly a decade. Through his education and solid professional career, he has been able to teach students a variety of important skills and has also developed innovative learning tools and games that help improve decision-making and analytical thinking skills.
As a part-time instructor at Graduate School USA for over 15 years, Natalya’s expertise cannot go unnoticed. She’s an educator and has developed curricula for the school, including the Change Management Workshops and several project management courses. Not to mention, she’s also served as a learning coach, facilitator, and instructor for government leadership programs and has developed the Define and Achieve Your Goals Process. Natalya earned her Master’s in Project Management and her Project Management Professional (PMP) Certification, making her a well-qualified and effective educator, project manager, coach, and consultant.
Alan is a retired combat veteran of the U.S. Air Force and Navy with over 30 years of experience in federal and commercial budgeting, auditing, programming, operations, supply chain management, and IT acquisitions. He holds an MBA from George Washington University and a Teaching Certification from Harvard’s Bok Center for Teaching and Learning. Throughout his career across federal, state, and local government agencies, Alan has worked for numerous departments, such as the Department of State and Defense, as well as the Office of the Mayor of D.C. Alan is also an accomplished consultant and business strategist, having aided in the development of organizational projects at Lockheed Martin and PwC, to name a few. His background and lengthy career make him an ideal instructor for those looking to learn more about finance, accounting, and project management.
As a skilled instructor and business leader, Derk Mattocks possesses the skills and career experience to bolster his credibility. He gained his B.S. in Organization Management from Nyack College and his Master’s in Leadership and Military Installation Management, as well as an MBA in Financial Management and Analysis from the University of Maryland. He is a licensed Certified Advanced Professional Business Coach and trained mediator, with the certification to facilitate the “Five Practices of Leadership” workshops. Derk has also served as a Senior Advisor and Instructor for the U.S. Army. Overall, he has the credentials to serve as an accomplished and well-versed instructor, often covering topics related to project management and marketing.
Melanie is a federal acquisition and contracting expert with over 30 years of professional experience in Washington, D.C., spanning both government and education sectors. She has served as the Vice President of Acquisition Policy at SAIC and as the Managing Editor of the Federal Contracts Report at Bloomberg BNA. She’s currently an instructor at Graduate School USA, often teaching classes related to the marketing realm. She’s a Certified Professional Contracts Manager (CPCM) and a Fellow of the National Contract Management Association, positioning her as a person with incredible leadership skills and knowledge of her field. She earned her MBA from Georgetown University and is known as a clear, trusted instructor who consistently challenges students to take their skills to the next level.