Develop Python programming expertise through guided exercises in data analysis and automation. It’s a practical path toward writing clean, efficient code for real-world tasks.
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 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 the skills needed to become a Python Developer, from Python programming fundamentals to web development with Django and Django REST. Develop in-demand skills with Django, a popular Python web framework used for back-end web programming, and build a portfolio of projects under the guidance of the lead instructor.
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 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.
Learn Python programming from scratch. Master variables, data types, loops, and functions, and tackle real-world challenges with object-oriented programming. Create a GitHub portfolio to impress employers and master practical Python skills.
Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML and CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.
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.
Create, style, and enhance web apps with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application with Flask and the OpenAI API integration and learn how to take your coding projects to the next level with AI.
Python is an open-source, object-oriented programming language. It has been the most popular programming language in the world since 2016. The cause of Python’s popularity is the rise of data science and data-driven business decisions. Python is the preferred programming language for Data Scientists because it is very “high-level,” meaning its syntax is easy to read and browse through.
Python is a relatively easy-to-learn programming language, making it a great starter language for those new to coding. Because it is open-source, there are many free learning resources, reusable code, and libraries. Python also integrates well with other programming languages, including C and Ruby.
Python is well-recognized for its earning potential. Learning Python could lead to a six-figure income as a Data Scientist, Software Developer, Data Engineer, Data Analyst, or Python Developer. Jobs using Python frequently rank on Glassdoor’s Best Jobs in America List, with Data Scientist, Data Engineer, and Software Engineer consistently landing in the Top 10 on the list, which factors in job opportunities, salaries, and job satisfaction.
If you’re looking to further your skills as a Programmer or Data Engineer or grow in the web development industry, knowledge of Python will assist you in creating the career of your dreams.
Seattle’s technology sector is one of the nation’s largest users of Python, driven by the city’s strong concentration of software, cloud computing, and AI companies. Industry leaders such as Microsoft, Amazon, and Google’s Seattle campus rely on Python for everything from backend development and automation to machine learning and data analysis. Python supports cloud services built on Microsoft Azure and Amazon Web Services (AWS), and it plays a central role in developing AI tools, natural language processing systems, and large-scale data infrastructure. With Seattle’s ongoing growth as a global tech hub, Python remains a foundational language for engineers, data scientists, and software developers.
Seattle’s thriving biotechnology and healthcare industries also depend heavily on Python for scientific research, data modeling, and clinical analytics. Companies such as Fred Hutchinson Cancer Center, Seattle Children’s Research Institute, and Bristol Myers Squibb’s Seattle division use Python to analyze genomic data, model disease progression, and support clinical trials. Python’s extensive scientific libraries, such as NumPy, SciPy, and Pandas, make it indispensable for processing complex medical datasets and performing computational biology tasks. As the city continues to lead in biotech innovation, Python enables research teams to accelerate discoveries and improve patient outcomes.
Additionally, Seattle’s e-commerce, logistics, and fintech industries rely on Python to power automation, improve customer experiences, and optimize operations. Companies such as Zillow, Expedia Group, and Remitly use Python to build recommendation engines, pricing algorithms, fraud detection systems, and scalable backend services. Python also supports data engineering and analytics efforts that help businesses forecast demand, personalize digital content, and streamline financial transactions.
Learning Python offers a range of career opportunities, such as a Data Scientist, Software Developer, Data Analyst, Research Scientist, or Python Developer.
Since Seattle is a major tech hub, Python careers there typically offer higher salaries than in other cities. Data Engineers, Full Stack Developers, Software Engineers, and Data Scientists earn around $130,000 annually; Back End Developers and Data Engineers earn about $140,000 yearly. Other careers in this data-driven tech hub, such as Machine Learning Engineer, can pay up to $180,000 annually.
Many of these jobs rank highly on Glassdoor’s Best Jobs in America List, which ranks jobs based on job opportunities, salaries, and job satisfaction. Full Stack Engineers and Data Scientists are in the top 5, while Machine Learning Engineers, Data Engineers, Software Engineers, and Back End Engineers all rank in the top 10.
Noble Desktop is a coding, business, and design school based in New York City. It offers many Python and data science bootcamps and certificate programs, both live online and at its state-of-the-art campus in Midtown Manhattan. All Noble classes are taught live by an expert instructor, have guaranteed small class sizes, and include a “free retake” option. This means you can retake the course for free for up to one year to continue developing your skills in Python.
Noble Desktop’s beginner-friendly Data Science Certificate program prepares students for a new career in data science or Python engineering. Students are guided through hands-on, real-world projects to develop skills in Python programming fundamentals, creating machine learning models, making data dashboards and visualizations, and using Python for automation. Graduates earn a New York State Licensed Certificate in Data Science, which is shareable on LinkedIn.
If you’re interested in working in data, Noble Desktop also offers a Data Analytics Certificate program in which graduates earn a New York State Licensed Certificate in Data Analytics. Experts in data analytics guide students through real-world projects to learn how to use Excel for data analysis and visualization, use Python to work with data and scientific libraries, use SQL and data interpretation, and use Python and Tableau for data visualization and presentations.
Noble Desktop’s Python for Data Science Bootcamp provides comprehensive training in using Python for data science: from the fundamentals of the Python language to harnessing its power for machine learning. Some skills you’ll learn include foundational Python programming, handling different data types, using conditional statements, object-oriented programming fundamentals, tabular data analysis with NumPy and Pandas, creating data visualizations with Matplotlib, and making predictions with linear regressions. Graduates earn a Certificate of Completion, which is shareable on LinkedIn. For a discounted rate, you can also take this bootcamp as part of Noble Desktop’s Data Science or Data Analytics certificate programs.
For more intermediate Python coders, Noble Desktop offers a Python Machine Learning Bootcamp. This bootcamp focuses on using Python for machine learning, which is used by Wall Street traders and for product recommendations on platforms such as Amazon and Spotify. Some of the skills covered in this bootcamp include using the Pandas library, applying machine learning algorithms, data splitting, evaluating machine learning models, and theoretical concepts like overfitting and bias. This bootcamp can be part of Noble Desktop’s Data Science Certificate program for a discounted rate.
Noble Desktop’s FinTech Bootcamp prepares graduates for a career in data science and financial technology. In this beginner-friendly bootcamp, expert instructors guide students through real-world, hands-on projects to develop skills in using Python and SQL for analyzing financial data, understanding the different types of data, creating data visualizations using Python, building predictive models, and exploring financial topics, including weighted average cost of capital (WACC), internal rate of return (IRR), and net present value (NPV).
For more Python and data science courses, check out NYC Career Centers’ Python courses live online or live online Python classes from NYIM Training.
NextGen Bootcamp is one of the top live online high school summer courses for Python. Classes are led by skilled instructors and taught in small groups on realistically applicable projects, and learning Python at NextGen will give you the advantage you need to launch your coding career. Python is the most in-demand and versatile programming language offered at NextGen Bootcamp.
With Noble Desktop’s corporate Python training, boost your team’s coding skills to the next level. Noble Desktop’s corporate training is highly customizable and will work with your company to meet your training needs. Noble Desktop will bring its expert instructors to your office in Seattle if you schedule an onsite training session. If you prefer virtual training, they will conduct live online training over a teleconferencing platform such as Zoom.
If you’re looking for more individualized training, you can purchase corporate vouchers for any open-enrollment courses listed on their website. Companies that purchase multiple vouchers will be eligible for a discount.
Because Noble Desktop will work with your company to meet your training needs, you should contact them via email for more information.
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.
Python is widely used across Seattle’s thriving tech, cloud computing, and biotech industries. 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.