Best Data Science Classes NYC: Find Courses & Onsite Training

Learn More About NYC Data Science Courses

Data science is an interdisciplinary field that draws from data analysis, statistics, artificial intelligence (AI), and informatics to analyze phenomena using data. Through the use of different algorithms, tools, machine learning theories, and storytelling, hidden patterns and business insights can be extracted from data. In order to retrieve this useful information, data scientists determine which questions need to be answered and then devise strategies to find the necessary data to yield solutions. Once insights are gathered, data scientists communicate them using data visualization. Skilled data scientists work with both structured and unstructured sets of big data. This information is then applied to problem-solving across many domains.

People have been analyzing data for many years, but the field of data science, as we know it today, is largely the result of the development of computers and databases. This technology has made it possible to collect and analyze vast amounts of data, and the volume of data continues to grow each day. The United Nations explains, “The volume of data in the world is increasing exponentially….” Data science has become an integral part of business in recent years and is used in various industries, such as retail ventures, research-focused organizations, companies making investment decisions, and the field of big data analysis. The field of data science is rapidly evolving and continues to be one of the most in-demand career paths for professionals in New York City and beyond.

What Can You Do with Data Science?

Data science has become an integral part of many different industries. It can be used for many different purposes, and its uses continue to grow. Learning data science will give you access to job opportunities in a wide range of different fields. The University of Notre Dame stresses, “Data science is a very flexible field and can be applied across all types of industries. From banking and education to marketing and nonprofits, nearly every type of organization benefits from having a data science expert on their team that can explore, report on, and monitor data to make better decisions, improve performance, and meet goals faster. So, if you’re wondering what you can do with a data science degree in a specific industry, it’s likely you’ll find an opportunity that resonates with your career interests and values.” With data science, you could work for a commercial business, a public sector institution, or a nonprofit organization. You’ll also have a wide range of choices in terms of data science specializations, including business analytics, database management, and data mining. In recent years, one of the fastest-growing fields related to data science has been machine learning and artificial intelligence. This involves creating computer programs that can analyze data without human direction.

What Will I Learn in a Data Science Class?

While every data science class is different, most cover a similar set of core skills. When you take a data science class, you’re likely to learn how to manipulate databases and how to perform data analysis. This includes learning some of the programming languages often used in data analysis, such as Python, SQL, and R, and gaining expertise in at least one data analytics platform. In many cases, you’ll also work on a variety of projects. Projects are a great way to practice your new skills, and can also give you material to build a portfolio, which can be used to show potential clients and employers.

Working with Databases

Data analysis starts with obtaining data, which is commonly stored in databases. This means that when you learn data science, you’re likely to learn how to access and edit information in a database. This is typically done using various programming languages, such as SQL and Python. Some of the things you may learn to do are writing database queries, cleaning data and preparing it for analysis, and formatting and aggregating data.

Programming Languages

No matter what type of data science course you decide to take, you’re likely to learn at least one programming language, since programming languages are a common tool in data analysis. For example, analysts often use SQL to communicate with relational databases, and they use Python and R for statistical calculations and data visualizations.

Statistical Analysis

Another essential skill for working with data is statistics. This is a branch of mathematics that involves collecting, analyzing, and interpreting data, and it is a foundational concept for data science. Data scientists use many different statistical tools to gather and manipulate data.

Using Data Analytics Platforms

Data analytics platforms are also common tools for analyzing and visualizing data, and are covered in most data science classes. They are a popular way for data scientists to make sense of their data, and to share their insights with other people. Power BI and Tableau are two popular data analytics platforms.

Data Science Industries in New York City

Data scientists are integral to both small organizations as well as large corporations. Nearly every industry is actively seeking qualified data scientists to fill positions, and industries in New York City are no exception. This city has the largest economy in New York State and one of the biggest in the world. The NYC International Business reports, “With a market boasting 8.6 million potential customers–and more than 25 million in the metro area–the economic opportunities in NYC are endless. With its strong economy and infrastructure, global workforce, and cross-industry innovation, it's no wonder that NYC is considered the business center of the world.” The city’s key industries are technology and media, smart cities and clean tech, fashion, foods and beverages, and finance, all of which have a need for data scientists.

Finance is one place where data science jobs are common. By analyzing data, financial institutions can make better decisions about how to invest and manage their money. In the opinion of NYC International Business, New York City is “the world's most sophisticated and diverse financial center.” The organization explains that the city has 45 Fortune 500 companies, a deep pool of capital, and a wide range of international talent, and says that as a result it attracts and fuels many large financial companies. Some major financial companies located in New York City are Bank of America, American Express, Morgan Stanley, Merill Lynch, and Chase.

Tech companies have also become an important part of New York City’s economy. NYC International Business reports that there has been 19 percent growth in tech jobs in New York City over the past ten years, and says there are more than 291,000 tech jobs in the area. In addition, it finds that the tech sector generates more than $124.7 billion in economic output. The organization says, “Explosive growth over the last decade has propelled NYC into the world’s second-largest technology hub.”

Data science is also important for industries in the public sector, which includes things like government and healthcare. These types of industries need to manage large amounts of data, and analyze that data so that they can make more informed decisions. For instance, government agencies use data to make decisions about public policies. New York City has many opportunities for data scientists interested in working in the public sector.

Will I Need to Be Data Science Certified to Get a Job?

Most data science jobs don’t require you to be certified, however, there is evidence that if you’re looking for a job or a promotion, being certified can be advantageous. When you’re certified, employers don’t have to guess about your skill, or take your word for it; instead, a certification proves that you have a certain level of knowledge. Being certified can also give you a competitive advantage by helping you stand out from other job candidates. In a recent LinkedIn article, the author explains, “In a world where almost everyone has a Bachelor's degree, having an additional certification in data analytics can set you apart from the crowd. Companies are always looking for employees who can offer extra value to their organization, and having a data analyst certification can be perceived as an indication of your expertise level.”

What Specific Jobs Use Data Science?

Data science skills can lead to many different jobs. A data analyst is someone who collects, processes, and analyzes data. When you start working in this field, you might begin as a Junior Data Analyst, which is an entry-level job, and you could later progress to the role of Senior Data Analyst position, which comes with greater experience and involves more complex data analysis. As a data analyst, you could also choose to specialize in a particular type of analysis. For instance, a Big Data Analyst works with large sets of data. A business analyst specializes in using data to help businesses improve their products and processes, while a financial analyst focuses on financial data to help companies make better financial decisions. A digital analyst is another specialized data analysis role. This position involves analyzing data from digital sources like social media and Google Analytics. According to Payscale, a website that provides salary information for many different U.S. cities, in New York City, a data analyst earns almost $74,000 per year, a business analyst earns about $85,000, and a financial analyst approximately $73,000. The average salary for a New York City digital analyst is $64,000.

A data scientist is another popular job that involves data science. This is similar to the role of data analyst, however, it is not the same. In most cases, a data scientist generally has more education and experience than a data analyst, and earns a higher salary. Data scientists analyze data, but they also work on new ways to analyze data. Payscale finds that a data scientist in New York City earns about $111,000 yearly.

Machine learning engineer is a career related to data science. This job combines aspects of software engineering and data science, and involves designing computer learning models for computers. With these models, computers are able to take certain actions without being specifically told to. As reported by Payscale, a machine learning engineer in New York City earns about $128,000 annually.

The Bureau of Labor Statistics (the BLS) collects and analyzes information about the U.S. labor market. It predicts that between 2022 and 2032, data science jobs will grow by 35 percent nationally, which is much faster than the average U.S. job growth rate of 3 percent. the BLS explains that a reason for this rapid growth is that more and more businesses want to make decisions based on data. It says, “The volume of data available and the potential uses for that data will increase over the projections decade. As a result, organizations will likely need more data scientists to mine and analyze the large amounts of information and data collected.” the BLS finds that New York City has the highest level of employment of data scientists among U.S. metropolitan areas. More than 13,000 people work in this profession in New York City, with an annual mean wage of about $136,000.

Is It Worth It to Learn Data Science?

Data science is an in-demand skill, and getting certified can be a great way to enter this field. According to the World Data Science Initiative, there is an enormous level of demand worldwide for skilled data scientists. It explains that organizations need to deal with more and more data all the time, and insists that there are simply not enough people with expertise in this field. It says, “Finding an equipped talent in the data science domain is tough. People adept at understanding and using data to drive business benefits are a rare gem to find. The demand for data analysts and scientists is like gushing water that is unstoppable and the supply is like a trickle.” As a result, learning data science can open up many different job opportunities. The organization predicts that demand for data scientists will not slow in the near future. In fact, it says, “The data science market size is expected to grow from USD 95.3.9 billion in 2021 to USD 322.9 billion by 2026.”

How Long Will It Take to Learn Data Science?

How quickly you learn data science will depend on many different factors, including your existing knowledge and how much time you have to devote to learning. According to experts, most people can learn data science basics in about six months, but mastering this field could take years. If you already have some knowledge of the tools that you’ll use in data science–like programming languages, statistics, and data analytics platforms–you’re likely to learn more quickly. Another thing that will impact your learning is the amount of time that you can devote to practice; the more time you spend on practice, the quicker you’ll learn.

Keep in mind that if you want to work in the field of data science, the learning process will never be completely over because this field continues to change as technology advances. As explained in one LinkedIn post, “Data Science is not a static field; it is a dynamic and ever-evolving discipline. The tools, techniques, and methodologies used in data science are in a constant state of flux as new technologies emerge and existing ones evolve.” As a result, the author says, “Continuous learning serves as the linchpin that enables data scientists to adapt to these changes and ensures that their skills remain relevant in a rapidly changing technological landscape.”

How Hard is It to Learn Data Science?

Data science is a technical and complex field. It involves math, statistics, and computer programming, and many people find it challenging to learn. Many experts emphasize that the best way to start is by building a strong foundation in basic data science concepts and best practices. After you’ve mastered the basics, you can start mastering more complex skills. Despite the challenges though, with time and practice, almost anyone can learn data science. One way to speed up the learning process is to enroll in a paid class, where you can receive guidance from an expert.

Can I Learn Data Science for Free Online?

If you want to get a brief overview of data science, learn a specific skill, or troubleshoot a topic, a free online course can be a good option. You’ll find a wealth of free data science material online, on YouTube, and many other sites. However, data science is a complex topic, and while free resources can be a good way to learn a few basics, they don’t teach you everything you need to know to master this topic. In addition, with free online resources, it can be difficult to know whether or not the information offered is current and reliable. For these reasons, a paid data science course is usually a better option.

Advantages of Learning Data Science with a Live Instructor

If you’re serious about learning data science, the best option is to enroll in a paid course. With a paid course, you’ll have access to a professional instructor who can oversee your learning process, and answer any questions that you have. A paid class can actually save you a lot of time that might otherwise be spent trying to make sense of which online resources you can trust, or trying to answer questions by yourself. Another advantage of having a live instructor is that they can share tips and tricks that might otherwise take you years to discover on your own.

Should I Learn Data Science in Person or Online?

When you start researching data science classes, you’ll quickly discover that some classes are offered in an in-person format, while others take place online. Both options have unique advantages, and the choice of which to choose will depend on your unique situation and learning style. In-person classes are the traditional way to learn, and they remain popular today. Many students like in-person classes because the learning is face-to-face, and they can get personalized attention and guidance based on their interactions with the instructor. In addition, students often say that in-person learning can feel more engaging and that it can be easier to understand complex topics in an in-person setting. This type of setting can also facilitate collaboration, since it can be easier for students who are physically present together in a classroom to talk or solve problems with one another.

However, while many students like in-person learning, this format does not offer enough flexibility for some. To learn in-person, students need to commute to a classroom, which can be expensive or inconvenient in some cases. For this reason, live online learning has become increasingly popular in recent years. With this format, learning still takes place in real-time, but students learn by logging in via computer. They get the flexibility of learning from wherever they want, combined with the benefits of live training. Instructors still lecture in real-time and are available to answer questions, and students still have the opportunity to interact with other students. In a live online class, students often attend from all over the country, or even from other parts of the world, which can also be an advantage because it can increase opportunities for networking and also expose students to a wider range of perspectives.

A third option for learning is the on-demand format. This is even more flexible than live online learning. With on-demand classes, content is pre-recorded, and students can work through the course material at their own pace. They can even pause or rewind if they need to. Some on-demand classes also include the opportunity to network with other students. On-demand learning is typically cheaper than live options. However, this format is not a good option for everyone because it typically requires more self-discipline and focus. Some students find it easier to get distracted or procrastinate with on-demand learning.

In-Person Data Science Classes in NYC

Are you interested in learning data science in a traditional classroom environment? If so, then in-person data science classes in NYC are for you. These courses offer an immersive, hands-on learning experience in which students are taught relevant skills from industry professionals. These dynamic, collaborative courses extend beyond classroom education; they also provide networking opportunities for participants.

Since its founding in 1990, Noble Desktop has evolved from a desktop publishing studio into one of NYC’s leading educational providers. Noble is located in Midtown Manhattan, the hub of media, entertainment, and entrepreneurship in the U.S. Its central location means that those commuting for in-person courses can easily reach Noble via the NJ PATH, Grand Central, or Penn Station. Once in class, students have access to a state-of-the-art facility, with powerful computers equipped with the necessary software and tools for study. Through its diverse course offerings of certificate programs, bootcamps, and classes, Noble Desktop continues to provide learners at all levels with an educational environment conducive to success.

Noble has a variety of data Science classes currently available for those interested in learning more about this field. Its Data Science Certificate is a beginner-friendly course in which participants learn skills such as how to query databases with SQL, how to create machine learning models, and how to work with core Python programming concepts. This 84-hour program is designed to prepare students for an entry-level position in data science or Python engineering. It comes with six one-on-one mentoring sessions, and the option of a free course retake within one year. Tuition is $3,995.

In addition, Noble Desktop also offers the Python for Data Science Bootcamp, a 30-hour course in which students analyze real-world datasets using Python. By course completion, participants will have a solid understanding of Python’s various data science uses, as well as how to work with data, build programs, and create data visualizations. This course also comes with a one-on-one mentoring session. Tuition is $1,495.

All of Noble Desktop’s in-person data science classes are also offered in the live online format to accommodate various schedules and learning preferences. In these virtual courses, students can ask questions, receive individualized support, and opt to share their screen with the instructor without having to leave the comfort of their own home or office.

Other NYC schools also offer courses in data science. The Flatiron School offers a Data Science Bootcamp in both an in-person and an online format. Tuition is $16,900. Students can opt for either a 15-week full-time course or the part-time option, which takes 40 weeks to complete. This course covers data analysis and engineering, scientific computing and quantitative methods, and machine learning. Students also complete a machine learning project.

The Manhattan Institute of Management runs a Data Analytics Bootcamp. This is a 13-week course, and it costs $14,000. Students start by learning the fundamentals of data analytics, including Python. The next section of the course is focused on data models and includes instruction in machine learning. Finally, students cover several advanced topics such as deep learning nets and random forest.

There is a bootcamp offered by NYIM Training, which is a business training school based in New York City. In the Data Analytics Technologies Bootcamp. Students learn fundamental data analysis concepts and also more advanced skills like Pivot Tables and statistical formulas. They learn to use SQL, Excel, and Tableau. Tuition is $1,949. Upon completion of this class, students get a New York State-licensed certificate of completion. NYIM also offers the option of a free retake within a year.

Practical Programming is a school in New York City that offers immersive training classes for students who are interested in learning data science and software development. Python Machine Learning Immersive has five sessions and a total of 30 hours of instruction. Tuition is $1,895. Upon completion, students receive a certificate. They are also able to retake the course for free within one month. Covered skills include linear and logistic regression, and algorithms like random forest and decision trees. In addition, students learn about bias, overfitting, variance, and other statistical concepts. Students who want to enroll in this course should be comfortable with Python and its data science libraries. Practical Programming also offers a Python for Data Science Bootcamp course, for students who need to gain these skills first.

High School Data Science Classes in NYC

For teenagers in New York City who are interested in learning data science, summer data science classes for high schoolers in NYC are available through NextGen Bootcamp. NextGen is Noble Desktop’s youth training division, and it shares facilities with Noble in Midtown Manhattan. Those who wish to enroll can choose to study in NYC or live online. The Python Data Science & Machine Learning Program is a two-week course that takes place over the summer. Students learn Python coding, and then they learn about data science, including Pandas, Matplotlib, and scikit-learn.

Virtual Data Science Classes

For students who prefer the online learning environment, virtual data science classes are for you. These live online courses come with the same perks as in-person study such as hands-on, interactive training by industry professionals.

General Assembly offers a live online Data Science Bootcamp, which takes 12 weeks to complete, with a total of 60 sessions. Tuition for this course is $16,450, and General Assembly provides several different financing options. This course is intended for data science beginners, and designed to prepare students for an entry-level job in data analytics. Students learn to get data with SQL and clean it. In addition, they learn about data analysis, including statistical and mathematical methods. Finally, they learn about how to analyze and communicate data with Power BI, Excel, Tableau, and Python. General Assembly also offers a part-time data science program.

Another option is Python Programming for Data Analytics, which runs virtually through the New York City College of Technology. This course has 15 sessions, and tuition is $750. Classes run in the evenings in a live online format. Students who take this course learn about data structures, iterators, generators, lambda functions, Python packaging, logging, and list comprehension. In addition, this course includes instruction on how to pass a Python/Data Analyst interview. The New York City College of Technology is a public college that was founded in 1946.

Machine learning is offered by the Borough of Manhattan Community College, a public community college that was founded in 1963. This course is offered in a live online format. Tuition is $914, and there are 26 class sessions. Classes have an average of 20 students. This class covers machine learning models and algorithms. It is designed to prepare students to apply machine learning techniques in a research or industry application. In order to take this class, students need to know advanced Python.

The NYC Data Science Academy runs many different data science classes. Data Science with Python: Machine Learning has 11 sessions and costs $1,990. Students learn simple and multiple Linear regressions, regularization, and cross-validation and feature selection. They also learn several classification methods including logistic regression, discriminant analysis, and tree-based methods. After taking the class, students will be able to explain the principles of machine learning algorithms and implement them. Before they enroll, students should have some knowledge of Python programming, and be able to munge, analyze, and visualize data in Python.

UCLA Extension offers a Data Science Certificate, which can be taken in an online format. Students learn tools and techniques for analyzing data. They also learn machine learning techniques, big data analysis, and Python. There are four required courses: Introduction to Data Science, Exploratory Data Analysis and Visualization, Big Data Management, and either Machine Learning Using Python, or Machine Learning Using R. Students can take the standard program, which takes 6 to 24 months to complete and costs $4,200, or the intensive program, which takes 10 weeks and costs $5,000. Both options include online career services.

Data Science Dojo runs a Data Science Bootcamp. This hands-on course covers data exploration and visualization, predictive modeling, decision tree learning, ensemble methods, and boosting. Students also learn about text analytics, unsupervised learning, linear models, big data engineering, and real-time analytics. Tuition starts at $2,849.

Corporate Data Science Training

Would the employees at your office benefit from learning the basics of data science or improving their skills in this field? If so, Noble Desktop provides onsite and corporate data science training to ensure that those at your workplace can receive the necessary training to advance their careers. Several options are available depending on your employees’ preferences and needs. Instruction is available at Noble’s offices in Manhattan for those in the city. Noble’s instructors can also conduct training at your own office, or provide virtual training via WebEx or Zoom. In addition, Noble has vouchers for open enrollment courses so that your employees can select the training format that most suits their needs. If you would like to learn more about the different data science training options Noble Desktop can provide for the employees at your workplace, don’t hesitate to contact Noble for additional information.

Top Certificate Programs

Top Courses

Top Certificate Programs

Top Certificate Programs

Top Courses

Top Certificate Programs

Top Courses

Data Science & AI Certificate Learn The Skills Guarantee™

Key Insights

Learn More About NYC Data Science Courses

What Can You Do with Data Science?

What Will I Learn in a Data Science Class?

Working with Databases

Programming Languages

Statistical Analysis

Using Data Analytics Platforms

Data Science Industries in New York City

Will I Need to Be Data Science Certified to Get a Job?

What Specific Jobs Use Data Science?

Is It Worth It to Learn Data Science?

How Long Will It Take to Learn Data Science?

How Hard is It to Learn Data Science?

Can I Learn Data Science for Free Online?

Advantages of Learning Data Science with a Live Instructor

Should I Learn Data Science in Person or Online?

In-Person Data Science Classes in NYC

High School Data Science Classes in NYC

Virtual Data Science Classes

Corporate Data Science Training

NYC Data Science Corporate & Onsite Training Noble Desktop

Data Science Training Locations in or Near NYC

NYC Careers & Salaries Related to Data Science

Related Classes

NYC Data Science
Corporate & Onsite Training