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 among the most popular general-purpose programming languages. It can be used for everything from basic coding to machine learning and artificial intelligence. Programmers use it to develop software, perform data analysis, build webpages on the server-side, and for system scripting. As an object-oriented programming language, Python is easy to learn and versatile enough to play well with other programming languages such as Ruby and C.
If you’re interested in learning Python for a career, taking a class is a great way to build skills. Courses begin with the fundamentals of writing code in Python before moving on to exploring how Python can be used to collect, clean, organize, analyze, and visualize data. As an open-source language, Python has an active and enthusiastic community of programmers who create reusable packages to perform basic functions. You will learn how to work with Python libraries such as NumPy, Pandas, and more, depending on the area of specialty. Python has dedicated scientific libraries for specialties such as machine learning, artificial intelligence, visualizations, and much more. For this reason, the Python course you choose will teach you to work with that discipline’s libraries and ignore the ones that are not relevant. In fact, many Python programmers work from very specific Python libraries, ignoring all others.
Python programmers can specialize in different areas such as machine learning and artificial intelligence. These areas may require additional training in mathematics and statistics. After learning basic skills in Python, you could choose to expand your skills in Python for Finance or FinTech.
Learning Python will prepare you for work in both development and data analysis. You will learn the skills necessary for web and software development, as well as how to aggregate, organize, and process data. You could go on to a career as a Data Scientist, Web Developer, Software Engineer, or even a Machine Learning Engineer. Given the popularity of the Python programming language, skills in Python are very much in demand.
Chicago is a perfect area to start a new career path with Python. While the city is home to giants like Facebook, Google, and X (formerly known as Twitter), it also boasts an ever-growing number of smaller tech companies and startups, such as Avant, G2, and ShipBob. As recently as 2019, Chicago’s desperate need for developers drew national attention.
There’s also a strong local Python community. Since 2003, Chicago has been home to the Chicago Python User Group, a not-for-profit organization of Python programmers at all levels in the greater Chicago area. With over 1,000 active members, free mentorship opportunities, and several special interest groups, ChiPy provides valuable networking and skill-building opportunities for new and experienced Python users.
In Chicago, you’ll find a growing number of career opportunities related to Python. Salaries for Python positions trend high, often topping $100,000. In Chicago, being a Python Developer or Engineer generally comes with a salary of around $85,000–$125,000, while data careers pay around $75,000–$125,000.
Noble Desktop’s Python Developer Certificate program is designed to equip participants with a robust skill set tailored for a flourishing career in the field of Python programming. The initial stages of the course are dedicated to laying a solid foundation in Python, introducing participants to vital concepts such as syntax, the use of dictionaries, the crafting of custom functions, and the intricacies of sophisticated sorting algorithms. Progressing through the program, students engage with the principles of object-oriented programming, a cornerstone of modern software development, and gain practical experience with API integration. Additionally, the curriculum emphasizes the importance of web database management through SQL, an indispensable developer skill.
As the curriculum unfolds, a significant focus is placed on Django, a crucial framework for back-end development that enables the creation of robust web services, and Django REST for web API development. This hands-on approach ensures that by the program’s conclusion, students will have developed a comprehensive portfolio, demonstrating their newly acquired, marketable skills. To enhance the learning experience, the program offers the unique benefit of one-on-one mentoring sessions. In these sessions, industry veterans review student portfolios and impart valuable advice on career advancement, providing a personal touch to the educational journey.
Noble Desktop offers a Data Science Certificate program designed for individuals aiming to harness the power of Python for data science applications. This comprehensive program serves as an expansive entry point for those seeking to establish a career in data science and Python engineering, setting a high standard of learning from the outset. Participants will be guided by industry professionals with a wealth of experience, ensuring they acquire the necessary expertise to proficiently analyze data, construct predictive machine learning models, and generate interactive visualizations. The curriculum delves deeply into Python and SQL, equipping students with the capability to navigate and manipulate data with precision and creativity.
Central to the program is the in-depth exploration of Python’s most pivotal libraries, which are instrumental for data analysis and the automation of tasks. Students are tasked with developing machine learning models tailored to tackle genuine problems, refining them to enhance their performance continually. The course empowers students to leverage sophisticated graphing and dashboard libraries, including Matplotlib and Plotly, enabling them to create dynamic dashboards and intricate data visualizations. These projects enhance learning and enrich students’ portfolios, demonstrating their practical skills. Complementing the core curriculum, the program offers six specialized mentoring sessions where seasoned professionals provide thorough portfolio reviews, clarify complex concepts encountered during the course, and deliver strategic guidance to foster professional development and career success.
NextGen Bootcamp presents a Python Data Science & Machine Learning Live Online Program specifically crafted for high school students keen to explore the dynamic realms of data science and machine learning. This program is distinguished by its provision of expert-level instruction in Python, a language at the forefront of technological innovation and application. High school students can immerse themselves in learning from the comfort of their own homes through a live online classroom or by attending sessions at NextGen’s Manhattan location. In either setting, they will receive the full benefits of interactive, real-time instruction, with immediate feedback from knowledgeable teachers skilled in delivering personalized guidance.
Starting with the fundamentals of Python programming, recognized for its global usage, the course allows students to delve into coding by engaging with actual databases and analyzing case studies that mirror real-world scenarios. As students develop proficiency in managing databases and formulating queries with Python, the program naturally transitions to the core principles of machine learning. Here, students are introduced to the construction and functionality of machine learning algorithms. This knowledge base empowers them to craft basic algorithms and undertake straightforward machine learning tasks. Offering a solid grounding in both data science and computer science, the program is an excellent option for young individuals beginning their journey in coding and wishing to keep abreast of rapidly advancing technological trends.
Practical Programming’s Python for Data Science Immersive course equips students with the Python skills necessary for data analysis and automation across various growing industries, preparing them for significant contributions in their current roles or for entering the data science job market. With Python’s careers expanding rapidly due to its readable syntax and broad utility, this course teaches foundational programming concepts, including object-oriented programming, working with different data types, and controlling flow with conditionals. Students will also learn to manipulate tabular data with NumPy and Pandas, craft data visualizations with Matplotlib, and employ linear regression for prediction tasks using scikit-learn, positioning Python as an essential skill for modern data-driven professions.
Practical Programming’s FinTech Bootcamp is an immersive 60-hour experience designed to arm students with Python skills for financial analysis, machine learning, and algorithmic trading, taught by seasoned professionals in finance and engineering. Participants will gain proficiency in Python for extracting, cleaning, analyzing, and visualizing financial data, and they will learn to make predictions based on that data, preparing them for entry-level roles in data science and financial technology or enhancing the capabilities of current financial analysts. The curriculum delves into advanced Python for financial data analysis, including using critical libraries like NumPy, Pandas, and Matplotlib, and progresses to applying machine learning for constructing financial models and understanding key financial concepts. Students will also create interactive data visualizations and dashboards using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and learn to deploy these projects online with tools like Heroku and GitHub. SQL training is included to master data querying, manipulation, and the integration of different data types to equip students with a comprehensive toolkit for FinTech applications.
Practical Programming’s Python Immersive course is an introductory program aimed at those new to programming, providing a hands-on approach to learning Python. This beginner-friendly course imparts a solid understanding of Python programming basics to enable students to start coding independently. Key topics include built-in data types, control flow statements, and object-oriented programming to equip students with the tools they need for solving practical problems and structuring programs professionally. The course covers fundamental programming concepts, prepares students for coding interviews, and emphasizes best programming practices used in the industry.
As participants progress through the course, they will actively apply what they’ve learned through programming exercises under the guidance of experienced instructors. Students will conclude the course with a strong grasp of Python, demonstrated by a portfolio of projects and code samples hosted on GitHub, showcasing their ability to impress potential employers. Moreover, they’ll acquire the ability to navigate technical documentation, efficiently troubleshoot errors, and write code according to industry standards. This immersive experience is designed to develop proficiency in Python and the confidence to tackle real-world programming challenges.
Teaching your employees Python can open up many exciting opportunities for your company. In today’s web-centered world, professionals in all fields can benefit from knowing how to code.
Noble Desktop offers corporate training in Python. Options include classes at your offices or a virtual class through teleconferencing. You can also purchase vouchers for your team members to attend Noble Desktop’s open enrollment courses online. When you purchase multiple vouchers, you become eligible for a discount.
For more information about training for your employees, please email us at corporate@nobledesktop.com.
In the heart of the Midwest’s finance capital, there’s opportunity everywhere. From tech startups in Fulton Market to powerhouse Fortune 500 firms in the Loop, Chicago offers a virtually endless array of ways to level up your skills in tech, business, data, and design. The city thrives on bold ideas, making it the perfect place to grow a career that is not only lucrative but also makes a real impact. With expert instructors with decades of experience, you’ll learn more about the subjects you’re interested in, all while receiving hands-on training. These instructors live and breathe to explore and work within their field, meaning they don’t just teach -- they mentor, guide, and connect you to the heart of Chicago’s many successful industries and direct you to the most meaningful path to help you achieve your goals.
Noble Desktop’s partner school, Practical Programming, has state-of-the-art facilities conveniently located in downtown Chicago’s iconic Hayworth Building at 29 E. Madison Street, Chicago, IL, 60602. It’s an easy-to-find location for students from across the city to attend. The campus is modern, equipped with the necessary tech and tools you may need, and provides resources like Wi-Fi, comfortable workstations, and expert instructors and staff ready to help you learn. Getting there is simple, whether you’re commuting from the Loop, River North, or surrounding areas. The school is easily accessible from the CTA trains and buses, with nearby stops for major lines like the Red, Blue, and Brown. If you’re driving, you can park nearby at various parking decks and metered spots within walking distance. The central location means you won’t have to stress about making it to class, and that your training sessions can fit into any schedule with ease.
Python is widely used across Chicago’s tech, finance, and analytics sectors, making it a valuable skill for professionals breaking into data-driven work. With this, Noble Desktop's instructors have real coding and automation experience, guiding students through practical exercises that translate directly into workplace tasks.
Henry Gonzalez is a certified Project Management Professional (PMP) with over 30 years of experience in the federal government, leading engineering, program management, and acquisition initiatives in naval warfare, air traffic management, and homeland security. A retired senior executive, Henry now serves as a part-time instructor in Chicago, where he teaches project and program management, leadership, and strategic planning to professionals of all kinds. He holds the highest level of federal certification one can hold for acquisition program management and systems engineering. In addition, Henry was part of the core team that updated the Project Management Institute’s Standard for Program Management. Henry is also a certified Balanced Scorecard Professional and holds a Bachelor of Science in Ocean Engineering from Florida Atlantic University, along with a dual Master of Science in Ocean Engineering and Ocean Systems Management from MIT.
Robert Simon is a highly accomplished financial management professional and educator with more than four decades of federal and private sector experience. As a Financial and Management Curricula Instructor at Graduate School USA since 2007, he teaches courses in financial management, federal travel regulations, and organizational leadership, both virtually and in person. Prior to his teaching career, he held senior roles at the General Services Administration, overseeing a six-state regional budget of approximately $100 million, and at the U.S. Treasury’s Financial Management Service, where he led national training initiatives on electronic banking. Robert’s background spans accounting, budgeting, and program analysis, holding certifications as a Certified Public Accountant and Certified Government Financial Manager.
Edward (Scott) Dillion is a seasoned financial expert with over three decades of experience in the Department of Defense, where he specialized in a range of financial management areas like budgeting and auditing, as well as performance-based management and cost analysis. He holds an MBA from Southern Illinois University and a B.A. in Business Administration from Grove City College. After retiring in 2014, Scott pivoted to a second career in education and consulting. He teaches project management and marketing at Graduate School USA and has also taught courses in federal budgeting. Additionally, Scott serves as a Subject Matter Expert (SME) for Management Concepts Inc., where he helps develop financial management course materials. He also has a lifetime membership with the American Society of Military Comptrollers, holds a Top Secret security clearance with the Department of Defense, and is a recognized Tier 2 instructor at Graduate School USA for his wealth of experience.