Discover the Best Data Science Classes in NYC
Data science is a field that draws from a range of skills, such as mathematics, computer programming, statistics, machine learning, and domain expertise, to help retrieve valuable insights from data. As more organizations realize the importance of data, they seek Data Scientists to help them get the most out of their data to remain competitive. Currently, Data Scientists are in high demand across industries and locations. This field is projected to grow 36% by 2031, which is significantly faster than other US professions. Because of the important role Data Scientists play within their organization, these professionals are sought after by many employers, which makes data science an excellent career choice. Those with data science training can expect to earn a competitive salary of more than $100,000 a year in the US, which is another reason why this remains a popular profession. Data science skills provide individuals with access to a range of career opportunities, such as Machine Learning Engineer, Business Intelligence Analyst, Data Architect, Database Administrator, and Data Engineer. The need for qualified Data Scientists is likely to grow as more companies integrate new data environments into operations.
Best Data Science Classes & Schools in NYC
New York City is a great place to study data science. If you’re looking for data science classes in New York City, many top educators have local offerings. The following sections will highlight some of the classes currently available in NYC, as well as the content and cost of study for each program.
The Flatiron School - Data Science Bootcamp
Data Science Bootcamp is available in New York City from The Flatiron School. This program covers a range of data science skills, such as machine learning and Python programming. Instruction is provided on statistical analysis, software engineering, data collection, and data analysis.
Coursework takes 15 weeks to complete and costs $16,900. Tuition includes career services like access to a robust network of employers, weekly one-on-one sessions with a career coach, and a job search framework. This program is open to learners at all levels. No prior data science experience is required. As a prerequisite, participants are expected to have a basic understanding of data science. A free introductory-level course is provided to all who enroll, which should be completed ahead of the bootcamp to ensure that learners are prepared for the first day of class.
This bootcamp comes with a money-back guarantee; those who do not receive a job offer within six months of completing this program get their money back. Participants leave this program having completed an advanced portfolio project that showcases their creativity and technical knowledge to employers. This final project takes three weeks to complete and combines machine learning and data science skills.
Noble Desktop - Data Science Certificate
Data Science Certificate, available from Noble Desktop, covers various skills and tools necessary to pursue a career in data science or data analytics. Those enrolled in this hands-on program receive instruction on topics like how to use SQL to query databases, work with Python for data analysis, create stunning data visualizations, and create machine learning models. Basic Python programming skills are taught, such as how to work with Python’s main data science libraries for data analysis, as well as how Python can be used to automate repetitive tasks like writing database queries, formatting, and updating and aggregating data. By course completion, students will know how to use data to create machine learning models and evaluate their performance. Instruction is also provided on using Pandas to clean and balance data and how the scikit-learn library can manage real-world data problems. Those enrolled create engaging data visualizations and dashboards and learn how to deploy work online with Github.
The cost of study is $3,995. Tuition includes 114 hours of live, instructor-led instruction, as well as setup assistance and one-on-one mentoring. Noble offers flexible payment plans. Students interested in paying tuition incrementally can finance studies using an installment payment plan or with tuition financing with no interest. Documentation can also be sent to employers who provide tuition reimbursement. This certificate program can be taken again for free for up to one year if students wish to revisit data science concepts. A verified digital certificate of completion is given to all program graduates. This program is available in NYC as well as in the live online format.
Practical Programming - Python Developer Immersive
Python Developer Immersive, available from Practical Programming, is an immersive course that teaches students the skills they need to pursue a career as a Python Developer. Those enrolled learn to work with Developer tools like SQL and GIT, as well as Python for software development using Django REST and Django. The first portion of this class covers core Python features, like dictionaries, lexical syntax, sorting algorithms, and custom functions. Participants work with object-oriented programming, APIs, and SQL in the second week. In week 3, learners progress into Django and its applications for back end web programming. Instruction is provided on querying models, task automation, and URL dispatchers. Participants then progress into Django REST and learn to use authentication, images, and API endpoints. The last week of instruction provides students with the opportunity to complete an independent project guided by the instructor. Lectures are also offered on career development, such as resume support and interview prep.
Tuition is $3,995. This includes access to supplemental data science materials and the option of a free course retake for up to one year. This program takes 15 full-day sessions to complete. As a prerequisite to study, students should have basic CSS knowledge and be able to code with HTML. Graduates of this program will have the skill set needed to apply to positions like Software Engineer, Python Developer, and Back End Developer. Those who successfully complete this program are given a certificate of completion.
Digital Workshop Center - Data Science Certificate Program
Data Science Certificate Program is available from Digital Workshop Center for those interested in studying data science in the interactive virtual setting. Those enrolled learn how to organize and clean data, spot key data features, and plot data. They become familiar with R software and how to use a basic linear regression model. Instruction is provided on both predictive and descriptive statistics, automating repetitive tasks, machine learning, creating automated reports, and applying statistics to practical business tasks.
All learners have the option of completing a real-world data science capstone project as part of additional one-on-one portfolio creation. Tuition includes one-on-one mentoring to supplement classroom training in which they work closely with a career coach to provide professional development. This includes help with resume writing and workshops on searching for a job in data science. Students also receive a month of support following the end of class. All learners can retake this class for free for up to one year.
As a prerequisite, students should be familiar with foundational programming concepts like functions, data types, and variables. In addition, they should have intermediate-level Excel knowledge and be familiar with PivotTables and PivotCharts. It is also recommended that students who wish to enroll have experience with how programming can be applied in the business environment. Tuition is $5,995. This fee includes reference packets and textbooks, downloadable material including examples, and a certificate of completion. It takes most learners approximately 3-4 months to finish this program.
NYC Data Science Academy - Data Science with R: Data Analysis and Visualization
Data Science with R: Data Analysis and Visualization is available from NYC Data Science Academy for those interested in working with the R programming language. This introductory-level class teaches students core R concepts and skills, such as loading, saving, and transforming data. Participants receive instruction on writing functions, fitting data into basic statistical models, and creating data visualizations like graphs. Not only does this course provide a theoretical framework that covers the entire data analysis process, but it also helps students acquire the practical skills necessary to analyze and visualize data. By course completion, those enrolled will be familiar with processing, transforming, and analyzing different kinds of data, creating advanced data visualizations and reports, and documenting their coding process.
This program takes 35 hours to complete and costs $2,190. Early-bird registration is available for those who enroll early for this course and is offered at a discounted price of $2,080. Any tuition spent on part-time NYC Data Science Academy classes over the past nine months can be applied toward this course. All students who successfully complete this program earn a certificate. Students should have a basic understanding of computer programming and know about computer components as a prerequisite to study.
BrainStation - Data Science Certificate
Data Science Certificate, which is available from BrainStation, teaches students a range of data science skills needed for end-to-end statistical analysis. This program is broken into separate units. The first covers fundamental Python programming skills, like how it can be used for data manipulation and analysis. Instruction is also offered on Pandas and NumPy libraries. In unit two, students acquire techniques for cleaning and wrangling data. Unit three pertains to data modeling and also teaches students how to use statistical concepts in the decision-making process. The fourth unit covers common techniques and algorithms used in machine learning.
Students can take this class in person in NYC or study live online. The certificate can be completed in 30 hours and costs $3,250. Scholarships and flexible payment plans are available for interested students. Coursework can also be paid for in monthly installments. This intermediate-level class has two prerequisites: students should be familiar with basic statistical concepts and have experience with Python programming.
Byte Academy - Python Bootcamp
Python Bootcamp, which is provided by Byte Academy, is available to those interested in pursuing a career as a Data Scientist. This bootcamp commences with an overview of Python basics, as well as fundamental computer science concepts. Participants in this program learn about various data structures, data cleaning, and object-oriented programming. More advanced instruction is also provided on neural networks and supervised and unsupervised machine learning algorithms. In addition to studying Python code, which is the standard language used in data science, students also learn how to use SQL to interact with databases. Coursework also covers mathematical concepts like linear algebra, calculus, and statistics, which can be applied to machine learning. Students also learn how to create engaging data visualizations. At the end of this class, those enrolled complete a capstone project they can include in their professional portfolio.
This program costs $14,950. It takes approximately 14 weeks to complete this course. Students do not have to pay tuition until they find a job. Financing options are also available.
NYC Industries That Use Data Science
New York City is considered by many to be the economic capital of the world. It’s also the biggest regional urban economy in the US. Many companies from around the country and world have their headquarters or major operation centers in NYC. Employers have access to large office complexes and a workforce of millions. The following sections will explore NYC’s main industries and the role data science plays in them.
Publishing & Journalism
New York City is home to some of the country’s most well-respected and widely read newspapers and magazines, such as The New York Times, TIME, Reader’s Digest, and The New Yorker. In addition, more than 120 publishing houses are located in the Big Apple, such as Penguin Random House, HarperCollins, Macmillan Publishers, and Simon & Schuster. As new, integrated digital media types become more prevalent in journalism and publishing, professionals who work in these fields are seeing their jobs evolve. Data journalism is becoming a more common way to deliver news. NYC-based Data Journalists gather, analyze, and filter large amounts of data to find insights that can be used in their stories. The insights they uncover can be used to enrich stories and add factual support to them.
One of NYC’s largest industries is healthcare. Approximately one-third of the hospitals in New York are based in NYC. This city employs more than 800,000 healthcare workers. It’s also home to the country’s largest public healthcare system. NYC’s healthcare industry is largely focused on medical services and biomedical research. Medical institutions in this city receive substantial funding from the National Institute of Health. Over 60,000 Physicians live and work in NYC, and 130 Nobel Laureates are involved with medical institutions there. People travel from around the globe for world-class healthcare in NYC.
Data plays an integral role in healthcare. Almost one-third of the data volume in the world pertains to healthcare data, like clinical trial information, e-health records, and disease registries. Because Data Scientists can help organizations get the most out of this data, they’re in demand in the healthcare industry in NYC. Data Scientists who work in healthcare perform a range of tasks, such as finding anomalies in patient data, performing predictive testing, and helping to design wearable devices.
In addition to being a hub for world-class healthcare, New York City is also the country’s fastest-growing tech hub. Nearly 300,000 people are employed in tech-related careers in NYC. With more than 7,500 tech firms, the city is second only to Silicon Valley for tech-related careers and innovations. Data science is a branch of IT in which algorithms, processes, and scientific methods are applied to structured, semi-structured, and unstructured data. These data findings can then be used by IT professionals to help with decision-making and planning. Data Scientists who work at a tech startup optimize data to ensure their organization can continue to grow and expand so they remain competitive. They also help startups get the most return on their investments and apply real numbers to their business plans to mitigate risk. Data Scientists identify trends and patterns in datasets and find potentially problematic areas the startup may wish to focus on.
NYC is considered the world’s financial capital. It’s home to Wall Street, the New York Stock Exchange and NASDAQ, as well as many financial services and banks. World-renowned banks like Merrill Lynch, Bank of the United States, Bany of New York Mellon, and Bank of America are all based in NYC. The finance sector in this city employs more than 330,000 people. In the past few years, the field of finance has seen a significant increase in the amount of data being generated that must be analyzed so it can be fully leveraged. Those who work in finance turn to those with a background in data science to optimize customer data so they can find actionable insights. Data Scientists in finance use AI and other tools to provide their institution with suggestions to improve performance, maximize efficiency, and provide better services to customers or clients. Data science has many financial applications, such as fraud detection, lifetime value prediction, algorithmic trading, lending appraisal management, and customer segmentation.
New York City is one of the most popular shopping destinations in the world. The retail sector plays a huge role in this city’s economy and comprises a range of businesses, from corner grocers to world-famous department stores. Both residents and tourists flock to NYC to find designer clothing and explore the newest fashion trends. To stay competitive in a volatile economy, NYC-based retail providers turn to Data Scientists to offer insights on which products and services their customers are most likely to buy and how they can best provide them. Data Scientists also can help those in retail reduce costs, improve production, and help customers receive the best products possible.
Data Science Jobs & Salaries in NYC
The following sections will explore several available data science jobs in NYC and how their salaries compare to the national average.
Machine Learning Scientist
Machine Learning Scientists work to create and implement adaptive algorithms to support AI systems. These professionals work closely with Data Engineers, Data Scientists, and those specializing in algorithms to design autonomous AI software. Machine Learning Scientists also perform tests to ensure their software yields accurate predictions. These professionals spend a significant amount of time researching to find new ways to manipulate data so they can continue to create new algorithms. Often, Machine Learning Scientists are employed in the academic sector.
Business Intelligence Developer
Business Intelligence (BI) Developers are involved with creating strategies that help their organization quickly locate key information it needs to make business decisions. To help uncover needed insights, these professionals work with a range of BI and data science tools and techniques. Data analytics and business analytics help those in BI find pertinent information in large datasets, as well as draw conclusions based on it. Data Scientists look at the specifics of the data and apply predictive analytics and advanced statistics to locate existing patterns and forecast those that may emerge.
Financial Analysts are hired by insurance companies, pension funds, banks, and other businesses to advise on how best to spend money to maximize profit. These professionals also evaluate how investments like bonds and stocks are performing and make suggestions to yield greater returns on investments. Financial Analysts regularly handle financial data to locate important trends. These data also help them make predictions that can drive future investment decisions. The average pay rate for a Financial Analyst in the US IS $75,000. NYC-based Financial Analysts earn over $80,000 a year.
Data Analysts gather, clean, and interpret datasets to solve problems facing their organization or find answers to questions. These professionals are employed in many industries, from government to healthcare to finance. The data analytics process involves finding insights from data that can be used to drive the decision-making process within an organization. Typically, this involves five phases: identifying the data that will be analyzed, collecting it, cleaning it to prepare it for analysis, analyzing it, and interpreting the results. The fields of data science and data analytics often overlap since many tools and skills are common to both job titles, such as Python, SQL, Excel, and Power BI. The current average pay for a Data Analyst in the US is $70,000 a year. Those who work in NYC make over $80,000 yearly.
Data Engineers are involved with creating and monitoring data pipelines. They rely on their expertise in database management systems to administer, test, and implement databases. Data Engineers also coordinate changes that must be made to databases. This requires locating, researching, and fixing issues that affect scalability, database capacity, or performance. These professionals also study business ecosystems to make sure they’re ready for Data Scientists to run algorithms on.