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 in optimizing themselves 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 helps 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 one’s career.
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.
For those who prefer to train in a classroom setting, there are in-person machine learning classes available in the Boston area. General Assembly offers in-person machine learning classes.
General Assembly’s Python and Machine Learning Bootcamp is a 14-hour course designed for individuals with some familiarity with Python. Participants learn the end-to-end data science process and gain experience collecting data from a variety of sources, exploring large datasets, cleaning and “munging” the data to prepare it for analysis, applying machine learning algorithms to gain insight from data, and visualizing the results of their analyses. The course is meant for analysts, product managers, mathematicians, business managers, and anyone else that wants to learn how to code in Python.
Enroll in an in-person machine learning bootcamp today to enhance your skill set.
Those who prefer to train from the comfort of their own homes or offices can take a look at the virtual machine learning classes available. Virtual machine learning classes are live online, interactive, and hands-on. Individuals can interact with the instructor in real-time and instructors can see and control participants’ screens with permission.
Noble Desktop’s Data Science Certificate provides individuals with the tools needed to become a Data Scientist with hands-on training and mentoring from industry experts. Individuals learn how to manipulate databases and perform data analysis. The program is beginner-friendly and prepares individuals for entry-level data science and Python engineering positions.
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.
NextGen Bootcamp offers live online machine learning summer classes 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.
Those dedicated to learning machine learning as part of a greater data science curriculum can attend a data science bootcamp either in-person in the Boston area or live online.
General Assembly offers in-person Data Science bootcamps in the Boston area. General Assembly’s Data Science Immersive course is a 12-week program for the price of $15,950. The program is designed to help individuals with a math background and some familiarity with Python programming strengthen their skills and launch their data careers.
Thinkful and Metis both offer live online Data Science Bootcamps. Metis’s Data Science Bootcamp is a 12-week course for $17,000, which covers data wrangling and exploratory data analysis using Python’s statistical and data visualization packages. Thinkful’s Data Science Flex is a six-month, part-time program that prepares individuals to become data scientists. The course is six months in duration for the price of $7,000.
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 to 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.