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.
Machine learning algorithms are programs that learn from large amounts of past data and experiences, optimizing them to find the best solution. Machine learning is closely related to Python and is an important component of the growing field of data science. As big data continues to expand and grow, the market demand for Data Scientists will increase. Enrolling in a machine learning class is an excellent way to enhance one’s resume to land a high-paying career.
Machine learning is a highly in-demand set of skills, and machine learning programs are becoming increasingly common. Many people have interacted with machine learning programs without even thinking about it. There are many types of machine learning algorithms that people use daily, such as streaming services like Spotify and Netflix, or voice assistants like Siri and Alexa.
Today’s leading businesses make machine learning a central part of their operations, and it has become a significant competitive differentiator for many companies. It can help enterprises understand their customers on a deeper level and help teams tailor product development and marketing initiatives to customer demand.
As the power and prevalence of machine learning continue to grow, there is no better time than now to enroll in a machine learning class and learn a highly in-demand set of skills to enhance your career.
Boston’s thriving economy and strong academic foundation make it a leading hub for machine learning (ML) innovation. From healthcare and biotech to finance and technology, organizations across the city are investing heavily in ML applications that drive efficiency, accuracy, and smarter decision-making. Below are some of the top industries where machine learning professionals can find exciting opportunities.
Healthcare remains one of Boston’s most dominant sectors, with world-renowned institutions such as Boston Medical Center and Boston Children’s Hospital leading medical research and innovation. Machine learning is transforming the field through advanced diagnostics, predictive modeling for patient outcomes, and the development of AI-powered tools for medical imaging and drug discovery.
Home to elite institutions like Harvard University, MIT, and Wellesley College, Boston attracts cutting-edge research and technology companies pushing the boundaries of AI and machine learning. This sector includes biotech firms, robotics startups, and software companies developing intelligent systems for automation, optimization, and natural language processing.
As a major financial center, Boston houses leading firms such as State Street, Putnam Investments, and Fidelity Investments. Machine learning is revolutionizing finance by powering algorithmic trading, risk assessment, fraud detection, and customer behavior modeling. Professionals with ML expertise play a vital role in developing and refining these systems to ensure speed, accuracy, and profitability.
Machine learning is one of the core skills needed to secure a career as a Machine Learning Engineer, Data Engineer, or Data Scientist. Salaries for these positions in the Boston area range from about $129,000 to $150,000 annually.
Data Engineers in the Boston area make around $129,000 annually and create the infrastructure for data and format it into a useful system that Data Scientists use to analyze large amounts of data. They can find work at companies or projects focusing on artificial intelligence, software, data analytics, healthcare, IT, retail, marketing, government, transportation, or science. Data Engineers must know how to create reliable data pipelines, Architect distributed systems, combine data sources, write queries, wrangle data, optimize systems, engineer for scale, and Architect data stores, and should have excellent communication and collaboration skills.
Data Scientists in the Boston area earn roughly $132,000 per year and collect, organize, and analyze large sets of data. They then provide analysis that is key to decision-making. The day-to-day life of a Data Scientist varies, and they can work in many industries, including retail, tech, medicine, and government agencies. They should have strong analytical and communication skills and must be proficient in SQL, Python, and R, file management, machine learning and algorithms, natural language processing, linear algebra, calculus, statistics, and probability.
Machine Learning Engineers bring home around $150,000 annually and create computer programs that enable machines to take actions without specifically being directed to perform those tasks. Roles for this career will vary depending on the engineer’s company. They can be found attending standup meetings, monitoring models, writing algorithms, performing analyses, collaborating with their team, writing unit tests, or reviewing code and pull requests from colleagues. Machine Learning Engineers should know technologies like Jupyter Notebook, Amazon Web Services, and APIs, and should have a high-level understanding of how the technologies and languages do and don’t work together to make the best technical choices for their employer and their business requirements.
Noble’s Python Machine Learning class teaches individuals how to create algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regression and then progresses on to algorithms with a different theoretical basis, such as k-nearest, decision trees, and random forest. Individuals focus on the practical skills needed to solve real-world problems with machine learning and are expected to be comfortable with writing Python programs, as well as NumPy and Pandas libraries.
Noble also offers a Python Data Science & Machine Learning Bootcamp. Through this course, individuals learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib. Once individuals master Python and its three main data science libraries, they learn to create predictive models from the data using machine learning packages such as scikit-learn. The course is designed to prepare individuals for entry-level data science and Python engineering positions.
Another option is the Data Science and AI Certificate, an intensive program that prepares students with the essential skills needed to excel in Python programming, machine learning, and data visualization. Through immersive, project-based learning, participants gain hands-on experience applying advanced techniques to real-world challenges, from cleaning and analyzing datasets to building predictive models. The curriculum covers key Python libraries such as Pandas, NumPy, and scikit-learn, providing a solid technical foundation that can be applied across diverse industries.
NextGen Bootcamp offers live online machine learning summer classes specifically designed for high school students. Students get the opportunity to learn data science, build predictive machine learning models, and boost job or internship marketability.
NYIM Training and NYC Career Centers also offer machine learning classes live online.
When it comes to corporate and onsite machine learning training, Noble Desktop offers training at the company’s office as well as virtual training held live online through a teleconferencing platform like Zoom. Noble offers the option for companies to purchase vouchers for Noble’s open enrollment group classes, and discounts are available if multiple vouchers are purchased.
Upskill or reskill your workforce today with hands-on corporate machine learning training. Contact hello@nobledesktop.com for more information.