Develop strong data analytics capabilities through lessons in Excel, SQL, and Tableau. These projects reveal how data drives smarter business strategies.
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 the process of analyzing datasets to detect patterns, gather statistics, and create visualizations. In order to generate information from large quantities of data, Data Analysts need a strong knowledge of statistics, programming, and industry-standard data visualization programs.
Today, you can find Data Analysts working in nearly every industry. In our increasingly technologically-centered world, businesses are relying more and more on data to make informed decisions. Working with data is necessary for any business that wishes to succeed in the new digital economy.
Although the fields of data analytics and data science may sound similar, they have distinct areas of focus. Data Scientists create algorithms and models to predict data, while Data Analysts study data to draw conclusions and ultimately improve business and financial processes. However, like Data Scientists, Data Analysts are sought after in many fields and have nearly limitless career opportunities.
Seattle is a major hub for technology and business innovation, where data analytics plays a key role in decision-making, strategy, and product development. Companies across e-commerce, cloud computing, and logistics rely on data analytics to interpret vast amounts of information and optimize operations. Amazon, headquartered in Seattle, is a leading example. The company uses data analytics to track customer behavior, forecast demand, optimize supply chains, and personalize shopping experiences. Analytics tools allow Amazon to make fast, informed decisions that improve efficiency and customer satisfaction on a global scale.
The healthcare and biotech industries in Seattle also heavily utilize data analytics. Organizations like the Fred Hutchinson Cancer Center and Seattle Children’s Hospital analyze patient data, medical research, and clinical trial results to improve treatments and predict health outcomes. Data analytics helps researchers identify trends, detect anomalies, and create predictive models that guide both patient care and scientific discovery. By transforming complex medical datasets into actionable insights, these institutions contribute to innovation in healthcare and precision medicine.
In addition, Seattle’s tech startups and software companies leverage data analytics to drive growth and improve products. For instance, Tableau, a leading data visualization company, helps clients across industries make sense of large datasets, discover trends, and make strategic decisions. Similarly, fintech and e-commerce startups in Seattle use analytics to study customer behavior, optimize pricing, and improve marketing strategies.
With higher-than-average salaries and high demand, Seattle is a great area to launch a new career as a Data Analyst. It is home to tech giants like Google, Microsoft, Nintendo, Tableau Software, and Amazon. Seattle is also home to other major companies, including Starbucks, Alaska Airlines, Costco, Nordstrom, REI, and Wizards of the Coast.
Seattle presents the chance to work with major corporations that depend on data analysis to recognize trends and optimize business practices. Positions in Data Analytics also pay well in Seattle, with annual salaries averaging in the upper $70,000 range.
Data Analysts in Seattle make around $74,000 per year, which is $12,000 higher than the U.S. average. Seattle-based Digital Analysts, who focus on measuring the effectiveness of online marketing campaigns, bring home about $78,000 each year.
A background in applying data to recommend, execute, and solve business problems can lead to a career as a Business Analyst, which pays $79,000 per year in Seattle. Although these careers require additional industry-specific knowledge, a background in data analytics will provide foundational knowledge for any of them.
Both Data Analyst and Business Analyst are listed on Glassdoor’s Best Jobs in America list, which ranks careers based on the number of job opportunities, average salaries, and job satisfaction. Data Analysts rank particularly high for job satisfaction.
Training in data analytics tools and concepts is available live online. Attending live online courses allows you to learn from the comfort of your home or office while receiving the same hands-on, interactive quality of face-to-face classes. Because the class is happening live, you’ll be able to interact with your instructor and classmates in real time. You can ask questions whenever you need. You can even get personalized feedback on your work or collaborate with your classmates using screen-sharing software.
Noble Desktop is a coding, business, and design school based in New York City that offers live online data analytics classes. Many of these courses focus on Python, SQL, and other tools commonly used when storing and processing data.
The Data Analytics Certificate provides immersive, comprehensive training that is beginner-friendly for those interested in launching a new career as a Data Analyst. Students are guided through real-world data analysis projects to develop skills in gathering, cleaning, analyzing, and visualizing data using Python, Tableau, and SQL. Some of the topics covered in this course include using Excel to manipulate data, using Python to work with data, querying databases using SQL, working with scientific libraries, data interpretation, and using Tableau for data visualization. Graduates earn a New York State Licensed Certificate in Data Analytics.
If you’re not quite ready to commit to a certificate program, Noble Desktop also offers a Data Analytics Foundations course, Excel Bootcamp, SQL Bootcamp, and Tableau Bootcamp.
Noble Desktop also offers a Data Science Certificate with training in using Python to build predictive models, prepare data for processing, and enable task automation.
For more live online learning options, see live online data analytics classes from NYIM Training or take live online Data Analytics classes through NYC Career Centers. It’s also possible for high school students to take virtual data analytics classes. Through NextGen Bootcamp, students can access instruction on Python and Java in summer data analytics classes for high schoolers.
For companies seeking to boost data analytics skills across their workforce, Noble Desktop has corporate data analytics training available onsite or virtually. We can hold an in-person training session at your company’s office in Seattle, lead a private live online class over a teleconferencing platform like Zoom, or train your team at our location in Manhattan.
Would you rather give employees the flexibility to learn on their own schedules? Noble Desktop offers a corporate discount when you purchase multiple vouchers for open enrollment data analytics courses.
To find out more about how Noble Desktop can help get your team trained in data analytics, contact them by email.
The professional community in Seattle is thriving, with many businesses and startups appearing all the time in downtown Seattle, South Lake Union, and the Eastside region of the city. In particular, many major companies in fields related to software, cloud computing, ecommerce, and biotech appear in the region, giving ample reason to learn relevant skills in subjects related to design, tech, business, and data.
Data analytics supports business intelligence and operational decisions across Seattle’s technology and corporate environments. At Noble Desktop, you can explore a range of courses and training options delivered by experienced professionals in their field. These instructors understand the specific job, the field, the industry, and the local economy, and will be able to impart their knowledge to you in an interactive, seamless way. Their combined experience spans decades, so you’ll know you’re working with someone who can genuinely provide the ins and outs of the field and career path of your choice.
Dr. Deanne Larson is a leading figure in data analytics, with over two decades of experience across Fortune 500 companies. As the founder of Larson & Associates LLC, she has helped organizations develop AI strategies and design large-scale data systems that power business transformation. Her portfolio includes overseeing data platforms serving over 225 million consumers and developing advanced governance frameworks for cloud and blockchain technologies. Additionally, Dr. Larson is an experienced educator who has served as an Adjunct Faculty Member at City University of Seattle, mentoring doctoral students and designing graduate-level programs in analytics. Holding multiple doctoral degrees in Computer Science (AI), International Management, and Management, along with a master’s in Business Analytics from NYU, she brings practical expertise to her teaching in AI, Python, machine learning, data analytics, and project management.