Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.
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 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.
Machines can’t think for themselves, but they are capable of learning. They can learn anything their programmers explicitly tell them to do, and flawlessly retain what they learned. But what happens when there are more things that the computer needs to know than a programmer can input single-handedly? That’s where machine learning comes into the picture. You’ve no doubt noticed how, when texting, your phone somehow develops the knack for suggesting combinations of words you use frequently. Oregano tea, for example, is a highly effective grandmother’s remedy for suppressing coughs, but there is no way that the programmers of your phone would have instructed it to prompt “tea” every time you type “oregano.” That is, until the time you had the bad cough and texted all your friends about your grandmother’s cough suppressant: suddenly, your phone was prompting you with “tea” whenever you typed “oregano.” The process whereby the computer inside your phone analyzes patterns of data (your text messages) and detects patterns (like “tea” following “oregano”) is a simple example of machine learning.
Just as the computer in your phone can analyze the simple data you input, so can a larger computer be instructed to learn from immensely larger datasets, even datasets that are too large for human beings to manage on their own (so-called “big data”). This type of machine learning is a branch of data science and part of every data professional’s toolkit. Sooner or later, every Data Engineer and Data Scientist is going to have recourse to this aspect of artificial intelligence.
Chicago is a growing hub for machine learning and artificial intelligence careers, with opportunities spanning finance, healthcare, tech, and logistics. Major financial institutions like CME Group, Citadel, and Morningstar rely on machine learning engineers and data scientists to develop predictive models, optimize trading algorithms, and analyze vast amounts of financial data. In these roles, professionals use machine learning techniques to identify market trends, automate decision-making processes, and reduce financial risk. Consulting firms with a strong presence in Chicago, such as Deloitte and Accenture, also hire machine learning experts to design AI-driven solutions that improve operations, strategy, and customer experiences for clients across various industries.
The healthcare and technology sectors in Chicago offer additional pathways for machine learning professionals. Organizations like Walgreens Boots Alliance, AbbVie, and Northwestern Medicine use machine learning to support drug discovery, improve patient outcomes, and optimize hospital operations. Tech companies, including Grubhub, Uptake, and Sprout Social, leverage machine learning for recommendation systems, predictive analytics, and AI-powered customer insights.
Machine Learning Engineers in Chicago earn an average annual salary of around $155,000, while Data Engineers earn about $125,000 per year. Data Scientists take home average yearly salaries of $120,000, while Data Analysts earn nearly $70,000 annually.
Noble Desktop has several classes that teach machine learning for data science, beginning with a Data Science Certificate program (three weeks full-time, three months part-time) that gives students the tools they need to begin careers as Data Scientists. Noble also teaches a targeted Python for Machine Learning Boot Camp (30 hours of classroom instruction, evenings) that focuses on how the computational powers of the Python computer language can be used to create machine learning models. Finally, Noble teaches a Python Data Science & Machine Learning Boot Camp (66 hours, weekdays) that combines basic training in Python with instruction in how to use its data science libraries (Pandas, NumPy, and Matplotlib) and machine learning techniques to perform statistical analysis.
Machine learning classes can also be taken at NYIM Training. NYC Career Centers offers machine learning courses as well.
Adults aren’t the only ones who can benefit from studying the possibilities of machine learning. NextGen, therefore, provides teenagers with several summer machine learning classes for high schoolers.
Would you like to improve your existing team’s grasp on the nuances of machine learning? Noble Desktop can offer you a variety of options for corporate onsite machine learning training. Simplest of all, they have a voucher program that will allow your staff members to attend any of Noble’s regularly scheduled classes. Discounts for multiple purchases are available. Noble is equally capable of setting up live in-person teaching at your office location with one of their skilled instructors. Or, if you prefer, Noble can also set up virtual live training using a teleconferencing platform such as Google Meet or Zoom. Please email Noble’s corporate training department for further information.
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.
Machine learning enables predictive insights and automated decision-making across industries in Chicago. Students who take classes with Noble Desktop will learn modeling concepts and workflows from instructors who make complex topics approachable and practical.
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.