Best Data Analytics Classes NYC: Find Courses & Onsite Training

Data Analytics Certificate Learn The Skills Guarantee™

Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.

Learn more & register Explore Noble Desktop’s Data Analytics courses
- $4,995
- 156 hours
- Free retake
- NYC or Live Online
- 1:1 Mentoring Included
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Noble Desktop Data Science & AI Certificate

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases...

In-person @ 185 Madison Avenue, New York, NY Also available online
- $3,995
- 114 Hours
- Weekdays or Evenings
- Beginner
- Free Retake
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General Assembly Data Analytics Bootcamp (Online)

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed...

In-person @ 10 East 21st Street, New York , NY Also available online
- $16,450
- 12 Weeks
- Weekdays or Evenings
- Beginner
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Fullstack Academy Online Data Analytics Bootcamp (Full or Part Time)

Students build in-demand industry skills and prepare to take certification exams in Tableau and Amazon Web Services. The program consists of Fullstack’s live online classes and workshops so you will feel fully supported along your journey. The up-to-date curriculum...

Available live online (virtual training) from anywhere
- $14,495
- 10 Weeks
- Weekdays
- Beginner
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Noble Desktop Python for Data Science Bootcamp

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from...

In-person @ 185 Madison Avenue, New York, NY Also available online
- $1,495
- 30 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
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NYIM Training Data Analytics Technologies Bootcamp

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees...

In-person @ 185 Madison Avenue, New York, NY Also available online
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
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General Assembly Data Science Bootcamp (Online)

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed...

In-person @ 10 East 21st Street, New York , NY Also available online
- $16,450
- 12 Weeks
- Weekdays
- Intermediate
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NYC Career Centers Data Analytics Technologies Bootcamp

In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp,...

In-person @ 185 Madison Avenue, New York, NY Also available online
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
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Noble Desktop Python Machine Learning Bootcamp

In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for...

In-person @ 185 Madison Avenue, New York, NY Also available online
- $1,895
- 30 Hours
- Weekdays
- Intermediate
- Free Retake
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Noble Desktop SQL Bootcamp

In this 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced...

In-person @ 185 Madison Avenue, New York, NY Also available online
- $975
- 18 Hours
- Weekdays or Evenings
- Beginner
- Free Retake
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showing 10 of 111 courses

Data analytics training equips individuals with skills in Excel, Python, SQL, Tableau, and critical thinking, preparing them for versatile careers in fields ranging from personal finance management to sports analytics. A strong foundation in these tools allows professionals to transform data into meaningful insights and strategic decision-making.

Key Insights

Data analytics training provides proficiency in essential tools such as Microsoft Excel for data organization and visualization, Python for statistical analysis and advanced visualizations, SQL for database query and data cleaning, and Tableau for interactive data visualizations.
Critical thinking is emphasized as a foundational skill within data analytics courses, enabling analysts to accurately interpret data, identify patterns, question assumptions, and derive meaningful conclusions from complex datasets.
Advanced data analytics roles, involving sophisticated statistical modeling, machine learning, and big data processing, typically require a more intensive educational background in mathematics, statistics, and programming, achievable through university programs or specialized bootcamps like those offered by Noble Desktop.

Learn more below

Learn More About NYC Data Analytics Courses

What is Data Analytics?

Data analytics is the process of examining, inspecting, cleansing, transforming, and modeling data to discover useful information, inform conclusions, and ultimately support better decision-making. It's a broad field encompassing various techniques and tools to extract insights from data. Data that is collected from various sources may contain errors, inconsistencies, or missing values. Data analytics involves fixing these issues to ensure the accuracy and quality of the analysis. It also involves transforming formatting to make it suitable for analysis. This could be converting data types, aggregating data points, or creating new variables.

Data analytics has a deep history of how humans have strived to collect, understand, and leverage information. Even after the Middle Ages, the 1600s saw mathematicians like Blaise Pascal and Pierre de Fermat laying the groundwork for probability theory, a cornerstone of statistics. This provided a framework for analyzing data with a degree of certainty. Cut to the 21st century with the development of powerful computers, advanced algorithms (machine learning, deep learning), and big data technologies, which have propelled data analytics to new heights, allowing us to analyze and interpret information in increasingly sophisticated ways. Data analytics has come a long way from its humble beginnings, and its future holds immense potential for transforming various aspects of our world.

What Can You Do with Data Analytics Training?

Data analytics can be surprisingly versatile and can enhance a wide range of hobbies. With personal finance and budgeting, you can analyze your bank statements or credit card transactions to identify spending patterns and areas where you can save. You can create charts and graphs to visualize your income and expenses over time. Use data to set realistic savings goals and track your progress towards them. Then, you could build models to forecast future expenses and make data-driven decisions about budgeting.

Track your fitness programs with data analytics. Wearable fitness trackers and apps generate a lot of data. You can analyze this data to monitor your activity levels, sleep patterns, and overall fitness progress. Set realistic fitness goals based on your historical data and track your progress towards them. You can see your progress and maintain motivation when using data visualization.

Your everyday activities benefit from using data analytics. When you’re on the road, analyze traffic data and public transportation schedules to find the fastest or most convenient route for your daily commute. Use data to research destinations, compare travel costs, and find the best deals on flights and accommodations. While looking for your next trip, use data to research destinations, compare travel costs, and find the best deals on flights and accommodations. You can also analyze sports data to follow your favorite teams and players more closely.

What Will I Learn in a Data Analytics Class?

Taking a data analytics class equips you with a foundational understanding of the key concepts, tools, and techniques used in this ever-growing field. This knowledge can be valuable for various career paths or simply to enhance your ability to analyze data and make data-driven decisions in your everyday life.

Microsoft Excel

Excel is a powerful tool for various data organization, analysis, and visualization tasks. It is commonly used in various stages of the data analytics process. Excel spreadsheets work well for entering, editing, and formatting data in small to medium-sized datasets. Excel allows you to pivot data, group data sets, and perform basic calculations using formulas to help you get a feel for the data, and to identify patterns and trends. Excel offers a wide variety of chart types like bar charts, line charts, and pie charts to visually represent your data and communicate insights to others.

Python

Python is a high-level, general-purpose programming language that is known for its readability and ease of use. Its strong features and adaptability have made it a dominant force in the data analytics industry. Python libraries like SciPy offer a wide range of statistical functions, allowing you to perform hypothesis testing, calculate correlations, and explore relationships within your data. Python also has some of the most powerful data visualization libraries, like Matplotlib and Seaborn. These libraries create various charts, graphs, and visualizations to effectively communicate insights from your data analysis.

Structured Query Language (SQL)

SQL is a specialized programming language designed for interacting with relational databases. Because it acts as a conduit between you and the data kept in relational databases, SQL is essential to data analytics. It allows you to write queries to extract specific data from relational database tables based on your needs. This is like filtering data in a spreadsheet to focus on relevant information for analysis. Additionally, SQL statements can help you identify and address missing data points in your database tables, an essential step before analysis.

Tableau

Tableau is a powerful business intelligence and data visualization platform that helps people interact with and understand data. It is beneficial throughout various stages of the data analytics process, specifically in data visualization and communication of insights. Tableau can assist in identifying data quality issues like missing values or inconsistencies. Visualizations can highlight these areas, allowing analysts to focus their cleaning efforts. Tableau excels at creating various charts and graphs to represent data trends, correlations, and patterns. Analysts can choose from a wide variety of chart types to best suit the data and the insights they want to convey.

Critical Thinking

Critical thinking is the intellectually disciplined process of actively and skillfully analyzing information. It is arguably one of the most important qualities of a successful Data Analyst. Data itself is meaningless without interpretation. Critical thinking allows analysts to analyze the data, identify patterns and trends, and draw meaningful conclusions. They need to question assumptions, consider alternative explanations, and avoid jumping to conclusions based on limited data.

How Hard is it to Learn Data Analytics?

The difficulty of learning data analytics depends on several factors, including your existing skill set, educational background, and the specific area of data analytics you want to pursue. Learning the fundamentals of data analysis, including data cleaning, basic data manipulation with tools like Excel, and creating simple visualizations, can be achievable with some effort, especially if you have some computer literacy. On an advanced level, mastering machine learning algorithms, building complex statistical models, and working with big data requires a strong foundation in math, statistics, computer science, and programming languages like Python. This is typically learned through university degrees or bootcamps with a high level of commitment.

What Are the Most Challenging Parts of Learning Data Analytics?

Data analytics offers a vast and rewarding career path, but it does come with some challenges. Data analysis relies heavily on statistical concepts like hypothesis testing, so if you're not comfortable with math, these can be challenging to grasp. Proficiency in languages like Python and SQL is essential for data manipulation, analysis, and automation. Picking up a new programming language can feel daunting, especially if you have no prior coding experience. With dedication and the right approach, you can overcome these hurdles and succeed in this exciting field.

How Long Does it Take to Learn Data Analytics?

Many variables affect how long it takes to understand data analytics therefore, there is no one-size-fits-all answer. If you already have some programming experience (especially with Python or SQL), familiarity with statistics, and a basic understanding of databases, you'll likely learn data analytics concepts faster. Basic data analysis can be achievable in a few months, especially with some computer literacy. Mastering machine learning algorithms, building complex statistical models, and working with big data entails a strong foundation in math, statistics, computer science, and programming languages like Python. This is typically achieved through university degrees or bootcamps, which require a significant time investment of up to four years.

Should I Learn Data Analytics In Person or Online?

Both in-person and online learning have their pros and cons for data analytics, and the best choice depends on your learning style, goals, and lifestyle factors. In-person courses offer a set schedule and classroom environment, which can help you stay focused and motivated, especially if you thrive on routine and structure. Some in-person courses might offer dedicated lab sessions or practical exercises with in-person guidance, facilitating a more hands-on learning experience. Alternatively, In-person programs often come with higher tuition fees compared to some online options, in addition to additional costs for commuting or accommodation.

Live online learning offers a compelling alternative to traditional in-person data analytics courses, combining the flexibility of online learning with some of the benefits of a structured classroom environment. Similar to online learning, you can attend classes from anywhere with an internet connection. This allows you to learn at your own pace and schedule the coursework around your work or personal commitments. Unlike pre-recorded lectures, live online courses allow you to interact directly with instructors during class sessions. You can ask questions, clarify doubts, and get immediate feedback, similar to a physical classroom setting.

Asynchronous learning is where students can access course materials and complete assignments on their own schedule without having to attend live lectures or participate in real-time sessions. This is great for students to fit learning around their work, family, or other commitments. To solidify understanding, lectures, readings, or other materials can be revisited as often as needed. Asynchronous learning requires students to have strong self-motivation and time management skills to stay on track and complete assignments. There is also less opportunity for real-time interaction with instructors and classmates compared to synchronous learning.

Can I Learn Data Analytics Free Online?

While some advanced programs or in-depth certifications might require a fee, there are many options available at no cost to get you started or enhance your existing skills. Platforms like Coursera and Udacity offer a wide range of free data analytics courses from prestigious universities and industry experts. These courses cover various topics, from introductory data analysis to specific areas like data visualization or Python programming for data science. While some courses might have paid certificates, the core learning materials are often free. YouTube channels, like Noble Desktop’s YouTube channel, offer excellent data analytics tutorials and lectures, providing a great way to learn at your own pace and explore different areas of data analytics.

What Should I Learn Alongside Data Analytics?

As data continues to grow, cloud platforms like AWS, Microsoft Azure, and Google Cloud Platform are increasingly important for data storage, processing, and analytics. Understanding cloud fundamentals and potentially acquiring certifications can be beneficial. Git is a popular version control system used to track code changes and collaborate on projects. Learning Git will enhance your workflow and collaboration, especially if you plan to work in a team environment.

Having a basic understanding of the business domain you're applying data analytics to can significantly improve your analysis and communication of insights. This could involve knowledge of finance, marketing, healthcare, or any field where you plan to use data analytics. Data storytelling is also a crucial aspect of data analytics. Being able to translate complex data insights into clear, concise, and actionable narratives for both technical and non-technical audiences is essential.

Industries that Use Data Analytics

New York City, being a major hub for finance, business, and healthcare, is a prime location for data analytics expertise. Data analytics is finding its way into almost every aspect of NYC life. From optimizing traffic flow in the city to understanding public transportation usage patterns, data is used to improve the overall function and experience of the city. Here are some of the industries in NYC that heavily utilize data analytics:

Finance

The finance industry is a broad term that includes various institutions and businesses that deal with the management of money. NYC, referred to as the global capital of finance, is a prime breeding ground for data analytics professionals in the finance industry. Financial institutions such as insurance companies, hedge funds, Wall Street corporations, and investment banks are heavily concentrated in New York City. This proximity fosters an active ecosystem where data analytics expertise is in high demand.

Financial institutions use data analytics to assess the creditworthiness of borrowers by analyzing their financial history, income, and other relevant data points. This helps them make informed decisions about loan approvals and interest rates. Advanced analytics can also detect fraudulent activities, such as money laundering or unauthorized transactions. Additionally, data analysis helps portfolio managers construct diversified investment portfolios, optimize asset allocation, and make data-driven decisions to maximize returns while managing risk.

Retail

The retail industry refers to the process of selling goods to consumers, from manufacturing or purchasing them from wholesalers to delivering them to the final customer. NYC's retail scene is a fascinating mix of old and new, global and local. Fifth Avenue houses flagship stores for luxury brands like Gucci, Prada, and Louis Vuitton. Macy's Herald Square, a historic landmark, and Bloomingdale's remain major tourist attractions and shopping destinations. Each borough boasts unique shopping districts, like Brooklyn's Montague Street with upscale boutiques or the Garment District in Manhattan, known for fashion-related businesses.

The retail industry leverages data analytics to optimize operations, improve customer experiences, and boost profits. Retailers analyze customer purchase history to identify buying patterns, preferred brands, and product categories. This allows them to tailor product recommendations, promotions, and loyalty programs to individual customers. Retailers also use data analytics to predict future demand for products based on historical sales data, seasonal trends, and external factors. This allows retailers to optimize inventory levels, avoid stockouts, and reduce the risk of excess inventory that requires discounts or clearance sales.

Healthcare

The healthcare industry encompasses a wide range of services and professionals involved in improving a person's health and well-being. NYC is a major hub for the healthcare industry, with a wide range of world-class medical institutions, cutting-edge research facilities, and a diverse healthcare workforce. The NYC Health + Hospitals network is the largest public health system in the US, offering a wide range of essential healthcare services to millions of residents.

Data analytics is revolutionizing the healthcare industry, transforming everything from patient care to administrative tasks. By analyzing a patient's medical history, genomics, and lifestyle data, doctors can create personalized treatment plans that are more effective and have fewer side effects. Data analytics can also help healthcare institutions optimize resource allocation by analyzing data on staff scheduling, equipment usage, and patient flow. This ensures efficient use of resources and reduces costs.

Manufacturing

The manufacturing industry is the backbone of many economies, transforming raw materials into finished goods. NYC is a hub for innovation and entrepreneurship, which is reflected in its manufacturing sector. NYC's manufacturing landscape has transitioned from heavy industry to a focus on high-value, smaller-scale production. Industries like garment manufacturing have shifted to other parts of the world, but NYC has adapted by focusing on areas like fashion design, sample creation, and higher-end clothing production.

Data analytics has become a game-changer in the manufacturing industry, transforming everything from production processes to product development. For example, Manufacturers can analyze data on supplier performance, including delivery times and product quality. This allows them to identify reliable suppliers and negotiate better contracts. Data analytics also allows Manufacturers to analyze customer data and feedback to understand preferences and identify areas for product improvement. This data can be used to develop new products that better meet customer needs.

Marketing

The practice of advertising and doing market research, in addition to promoting and selling goods and services, is known as marketing. It's a vast field encompassing everything a company does to promote and sell its products or services, from understanding the target audience to crafting compelling messages and building relationships. Major advertising agencies, marketing consultancies, and tech companies with strong marketing departments call NYC home, creating a dynamic job market and fostering collaboration. These companies attract a vast pool of talented Marketing Professionals from around the world.

Data analytics empowers Marketers to make data-driven decisions across all aspects of their campaigns. Data analytics allows Marketers to track the performance of marketing campaigns across different channels, identifying what's working and what's not. Data analytics also helps to determine which marketing channels contribute most to conversions. This allows Marketers to allocate resources efficiently and focus on the channels with the highest return on investment (ROI).

Government

The government sector encompasses the various departments, agencies, and institutions that make up a federal, state, or local government. NYC’s government is headquartered at City Hall and plays a pivotal role in the lives of over 8 million residents. The city government provides a wide range of essential services to residents, including public safety, sanitation, and public education, to name a few. The government also enacts and enforces laws and regulations on various matters, like zoning, building codes, and public health.

Government agencies are increasingly turning to data analytics to improve efficiency, transparency, and decision-making across various departments. For example, analyzing crime data can help identify high-crime areas, predict future crime patterns, and deploy law enforcement resources more strategically. Data analytics can also help identify at-risk individuals and tailor social programs more effectively to address their specific needs. By analyzing data on service usage, demographics, and social needs, governments can allocate resources more effectively to the areas with the greatest need.

Data Analytics Job Titles and Salaries

The data analytics field offers excellent growth prospects and competitive salaries. If you have a knack for problem-solving, enjoy working with data, and are eager to learn new technologies, then a career in data analytics might be the perfect choice for you. Below are just a few of the many data analytics jobs available. The specific requirements and titles may vary depending on the industry and organization. There are also specialized data analytics roles in various sectors like finance (Quantitative Analyst), healthcare (Healthcare Data Analyst), and marketing (Marketing Analyst).

Data Analyst

A Data Analyst is a problem-solver who uses their skills to extract meaningful insights from data. They collect, clean, analyze, and interpret data to identify trends, patterns, and valuable information. This information is then used to inform business decisions, improve processes, or answer specific questions. Data Analysts are the backbone of many data-driven organizations. They play a crucial role in transforming raw data into actionable insights that can improve business performance, optimize marketing campaigns, or gain a deeper understanding of customer behavior.

Data Analysts leverage data analytics throughout the entire data analysis lifecycle, from gathering information to communicating insights. Data Analysts use data analytics to understand what data is needed to answer a specific business question or solve a problem. They research various data sources like internal databases, customer relationship management (CRM) systems, marketing automation platforms, social media, and external market research data. Data Analysts may also use data analytics tools to transform the data into a format suitable for analysis. This could involve tasks like data normalization, data aggregation, and feature engineering (creating new data points from existing ones) for machine learning models.

Data Analysts are in high demand in NYC, a hub for finance, technology, marketing, and many other data-driven industries. A Data Analyst in NYC makes between $84,000 to $138,000 per year.

Business Intelligence Analyst

A Business Intelligence (BI) Analyst is a data professional who helps organizations translate raw data into clear, actionable insights to inform business decisions. They act as a bridge between the world of data and the world of business strategy. BI Analysts identify and gather data from various sources like internal databases, CRM systems, marketing automation platforms, sales figures, and external market research data. They ensure the accuracy and completeness of the data, which often involves cleaning and organizing messy datasets.

BI Analysts leverage data analytics throughout their workflow, from gathering information to empowering business decisions. They use their understanding of the business and its goals to identify the specific data required to answer key questions or support decision-making. Effective BI Analysts use data analytics to craft a data-driven story that captures the audience's attention and compels them to take action. Visualizations should be tailored to the specific audience and the message being conveyed. Additionally, by analyzing trends and patterns, BI Analysts can use data analytics to pinpoint areas where the business can improve its performance or identify potential risks.

Overall, NYC presents a dynamic environment for BI Analysts. With its wealth of opportunities, competitive salaries, and diverse industries, it's a city that can accelerate your career in this exciting field. BI Analysts in NYC make $60,000 to $110,000 per year.

Data Scientist

A Data Scientist is a highly skilled professional who extracts knowledge and insights from data using advanced statistical methods and machine learning. They are like detectives of the data world, uncovering hidden patterns and trends that can inform business decisions, improve products, and solve complex problems. One of their duties is collaborating with stakeholders to understand the business problem or question they are trying to solve. They then identify the data needed and gather it from various sources like databases, customer surveys, social media, and marketing campaigns.

Data Scientists leverage data analytics throughout the entire data science lifecycle, from wrangling raw data to deploying and monitoring complex models. Through data analytics techniques, they can assess what data is needed to address the problem. This may involve exploring existing data sources, identifying potential new data sources, and considering data collection methods like surveys or experiments. Data Scientists use data visualization techniques to create clear and informative charts, graphs, and dashboards to communicate the insights derived from their models to stakeholders. These visualizations help explain how the model works, its performance metrics, and its limitations.

NYC offers a stimulating environment for Data Scientists. With its abundance of opportunities, competitive salaries, and concentration of innovative companies, NYC can be a launchpad for a successful career in data science. A Data Scientist can make between $77,000 and $127,000 per year in NYC.

Marketing Analyst

Marketing Analysts use their analytical skills to examine data, identify trends, and recommend strategies to optimize marketing campaigns, improve customer engagement, and ultimately drive business growth. They gather data from various sources, like website analytics and market research reports. They analyze this data to understand customer behavior, track marketing campaign performance, and identify areas for improvement.

Market Analysts use data analytics at every stage of the marketing process, from obtaining client data to refining advertising strategies. Market Analysts use their understanding of marketing goals and customer journeys to identify the most relevant data sources. This may involve website traffic data, social media engagement metrics, customer surveys, email campaign performance data, and sales figures. They also use data to understand the customer journey and attribute conversions or sales to the various marketing touchpoints a customer interacts with before making a purchase. This helps them determine which marketing channels are driving the most value.

Since NYC is the center of the media, fashion, advertising, and many other marketing-driven businesses, Marketing Analysts are in high demand. In NYC, Marketing Analysts make between $50,000 to $121,000 per year.

Data Engineer

As key players in any enterprise data analytics team, Data Engineers manage, optimize, supervise, and keep an eye on data distribution, storage, and retrieval across the whole company. Data Engineers implement data security measures to protect sensitive information and ensure data quality and consistency. They may also be involved in developing data governance strategies to define how data is accessed, used, and managed within the organization.

While Data Engineers don't directly analyze data to extract insights, their expertise in data wrangling and infrastructure forms the foundation for all data analytics activities. They use data analytics techniques to understand the data needs of Data Analysts and business users. This involves analyzing business problems and user requirements to determine the specific data sources and formats needed for successful analysis. Data Engineers leverage data analytics throughout the data pipeline lifecycle, from designing the pipeline to monitoring its performance. Their data analytics skills ensure high-quality data flows through the system, providing Data Scientists and Analysts with the clean and structured data they need to perform effective data analysis.

With its abundance of opportunities, competitive salaries, and concentration of innovative companies, NYC can be a launchpad for a successful career in data engineering. A Data Engineer in NYC can make anywhere between $85,000 and $133,000 per year.

Data Analytics Classes Near Me

Attend General Assembly’s Data Analytics Bootcamp, offered both at their NYC location and online. This course offers students the skills, exclusive career coaching, and employer connections in data analytics. Topics covered are statistical modeling, machine learning models, decision trees, and neural networks, to name a few. This is a beginner-friendly NYC Data Analytics Bootcamp with no prerequisites.

In NYIM Training’s Data Analytics Technologies Bootcamp, offered online or at their NYC location, students will receive hands-on training to learn industry-standard data analysis and visualization tools. This thorough and affordable classroom instruction will allow students to work on practical Excel, SQL, and Tableau projects. The course has no prerequisites, however, participants must be comfortable using computers and prepared to grasp advanced ideas. The course can be retaken for free within one year.

Noble Desktop offers a Python for Data Science Bootcamp. With options online or at their NYC location, this course will take you from the very basics of Python programming to the start of machine learning with Python. In this bootcamp, you will learn how to write programs, work with data in Python, make data visualizations, and use statistics to build machine learning models. You will also understand why and how Python is used for data science. In addition to hands-on, small-group instruction, you will receive one 1-on-1 training session.

Attend the Python Machine Learning Bootcamp through Noble Desktop on campus in NYC or online. The course will concentrate on the practical skills required to utilize machine learning to address challenges in the real world. Rather than a formal math component, each machine learning algorithm's mathematical foundations will be visually demonstrated. This course requires students to be comfortable with Python and its data science libraries, NumPy and Pandas.

Take the Columbia Engineering Data Analytics Bootcamp online through Columbia Engineering in NYC. With a focus on the learner, this bootcamp blends group, practical instruction with real-world data sets to provide the skills needed to gather, process, and visualize large amounts of data to plan their next career move. Throughout the bootcamp, instructors who are fully vetted by the institution provide 1-on-1 guidance to students. Modules include Excel crash course, Python data analytics, and databases, to name a few.

The Certificate in Data Analytics is offered through the NYU School of Professional Studies. This program is intended for professionals across disciplines who want to acquire the analytical mentality required to analyze and comprehend various forms of data in order to generate plans and actionable decisions. Courses will provide a fundamental understanding of statistical analysis, database administration, analytical tools and software, and training to communicate findings. Through industry-based electives, participants will be able to put the skills to use in a real-world setting and obtain experience with practical applications.

Data Analytics Corporate Training

The best corporate training programs in NYC have been developed and provided by Noble Desktop for more than 20 years. We have a great deal of expertise in creating curricula for a range of professional settings. Our programs are fully tailored to your team's unique needs. Noble Desktop can run training sessions onsite or live online through a teleconferencing platform like Zoom. Companies can facilitate corporate data analytics training at Noble Desktop’s midtown Manhattan facility or purchase bulk vouchers for regularly scheduled classes, offering employees the freedom to choose their own training schedule.

With practical corporate training in data analytics through Noble Desktop, you can upskill or reskill your workforce. Training will provide employees with the most important data analytic skills, including Excel, SQL, Tableau, and analyzing insights, to name a few. Add Excel for business or finance, Python, VBA Programming, financial modeling, data science, or automation to your custom curriculum to advance your team's training. Group classes on these specific subjects are also available for voucher participants. Contact Noble Desktop for more information about corporate data analytics training programs or to schedule a complimentary consultation.

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NYC Data Analytics Courses by School

Here are some of the top NYC schools offering Data Analytics training, including Noble Desktop (30 courses), NYIM Training (15 courses), and NYC Career Centers (15 courses).

Noble Desktop

NYC location: 185 Madison Avenue, New York, NY

Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
- Data Analytics Certificate
  - 156 Hours
  - $4,995
- Data Science & AI Certificate
  - 114 Hours
  - $3,995
- Python for Data Science Bootcamp
  - 30 Hours
  - $1,495
- Python Machine Learning Bootcamp
  - 30 Hours
  - $1,895
General Assembly

NYC location: 10 East 21st Street, New York , NY

General Assembly provides a variety of bootcamps and workshops in digital marketing, user experience design, and immersive courses in software engineering and data science. Students have a choice between part-time, full-time, or online classes, committed to finding you the most flexible fit for your busy schedule.
- Data Analytics Bootcamp (Online)
  - 12 Weeks
  - $16,450
- Data Science Bootcamp (Online)
  - 12 Weeks
  - $16,450
- Data Science Short Course (Online)
  - 10 Weeks
  - $4,500
- Data Analytics Short Course (Online)
  - 10 Weeks
  - $4,500
Fullstack Academy

NYC location: 5 Hanover Square, New York, NY

Fullstack Academy offers immersive development bootcamps in coding, web development, cybersecurity and data analytics. Fullstack Academy provides training in industry-standard software development practices such as test-driven developments and paired programming.
- Online Data Analytics Bootcamp (Full or Part Time)
  - 10 Weeks
  - $14,495
NYIM Training

NYC location: 185 Madison Avenue, New York, NY

NYIM Training offers results-oriented business courses and corporate training online and in New York. With hands-on courses and certifications in data analytics, design, programming, office productivity, and finance, its extensive offering provides flexible training solutions for professionals and businesses.
- Data Analytics Technologies Bootcamp
  - 51 Hours
  - $1,949
- SQL Bootcamp
  - 18 Hours
  - $975
- Tableau Bootcamp
  - 12 Hours
  - $499
- SQL Level I
  - 6 Hours
  - $350
NYC Career Centers

NYC location: 185 Madison Avenue, New York, NY

Career Centers offers intensive business courses and corporate training in the heart of New York City and remotely online. They offer courses in Microsoft Excel, finance & accounting, data analytics, Microsoft Office, and design.
- Data Analytics Technologies Bootcamp
  - 51 Hours
  - $1,949
- SQL Bootcamp
  - 18 Hours
  - $975
- SQL Level I
  - 6 Hours
  - $350
- SQL Level II
  - 6 Hours
  - $350
BrainStation

NYC location: 503 Broadway, New York, NY

BrainStation is an intensive training provider focused on teaching digital skills and offering full-time diplomas, part-time certificates, and other forms of expertise in time frames of one to twelve weeks. BrainStation believes there are different styles of learning and therefore adopts flexible learning options like Online Live, where students can learn virtually.
- Data Analytics Certificate
  - 30 Hours
  - $3,250
- Data Science Certificate
  - 30 Hours
  - $3,250
NYC Data Science Academy

NYC location: 500 8th Ave, New York, NY

NYC Data Science Academy provides data science and data engineering training with comprehensive curriculums in Python, Hadoop, Spark, R, and many more. NYC Data Science Academy offers immersive courses, bootcamps, and job training both online and in-person.
- Data Science with R: Data Analysis and Visualization
  - 5 Weeks, 7 hr/wk
  - $2,190
- Big Data with Amazon Cloud, Hadoop/Spark and Docker
  - 6 Weeks, 3 hr/wk
  - $2,990
- Data Science with Python: Data Analysis and Visualization
  - 5 Weeks, 4 hr/wk
  - $1,590
- Data Science Bootcamp
  - 12 Weeks
  - $17,600
Practical Programming

NYC location: 115 W 30th St, New York, NY

Established in both Chicago and New York, Practical Programming offers online and on-site courses in Python, Data Science, Machine Learning, Web Development, JavaScript, Blockchain, and SQL.
- Python for Data Science Immersive
  - 30 Hours
  - $1,495
- Data Science Certificate
  - See provider
  - See provider
- Part-Time Data Science Bootcamp
  - 72 Hours
  - $3,195
- Python for Automation
  - 6 Hours
  - $425
Byte Academy

NYC location: 295 Madison Ave., New York, NY

Byte Academy is a live online software program that offers full-time, part-time, and remote courses in FinTech, Data Science, Quant-Algos, Blockchain, and a bootcamp in Python. In addition to providing virtual education, Byte Academy heavily focuses on career and offers the option to pay tuition after securing a post-graduation job.
- Data Science Bootcamp
  - 14 Weeks, 40 hr/wk
  - $14,950
New Horizons

NYC location: 236 W 30th St, New York, NY

Offering on-site training all over the world and online, New Horizons is a computer learning center. New Horizons offers training for top technology providers like Adobe, Citrix, and Microsoft.
- Data Wrangling With Python
  - 3 Days
  - $1,785
- SQL Querying Fundamentals - Part 1
  - 1 Day
  - $495
- SQL Querying Fundamentals - Part 2
  - 1 Day
  - $495
- Introduction to SQL Databases
  - 3 Days
  - $1,785

showing 10 of 14 schools

NYC Data Analytics
Corporate & Onsite Training

Upskill or reskill your workforce with our industry-leading corporate and onsite Data Analytics training programs. Conduct the training onsite at your location or live online from anywhere. You can also purchase vouchers for our public enrollment Data Analytics courses.

corporate@nobledesktop.com (212) 226-4149

Data Analytics Training Locations in or Near NYC

Find an in-person class in NYC. We found 13 schools offering face-to-face training, 1 school offering access to a computer lab (remote instructor), and 11 offering live online Data Analytics courses.

NYC Careers & Salaries Related to Data Analytics

Data analytics uses analysis techniques to infer insights from raw data. Algorithms and machine learning have optimized data analysis over time to find trends and answer questions more efficiently. Americans use over 4 million gigabytes of internet per day, that produces massive amounts of data which powers a variety of careers in four specific sectors: data science, business, finance, and marketing. Learning data analytics can open doors for you in any of these fields.

Data Analytics is one of the core skills needed to secure one of these positions. See the career pages for more information on required skills, tips for landing a job, typical day-to-day work, and where to find job postings.

Digital Analyst

$96,000 / year in NYC
9% more than the U.S. average
Data Analyst

$97,000 / year in NYC
17% more than the U.S. average
Business Analyst

$100,000 / year in NYC
17% more than the U.S. average

showing 3 of 3 career paths

Indeed.com salary data from April 2025

How Data Analytics can advance your career

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Data Analytics Certificate Learn The Skills Guarantee™

Key Insights

Learn More About NYC Data Analytics Courses

What is Data Analytics?

What Can You Do with Data Analytics Training?

What Will I Learn in a Data Analytics Class?

Microsoft Excel

Python

Structured Query Language (SQL)

Tableau

Critical Thinking

How Hard is it to Learn Data Analytics?

What Are the Most Challenging Parts of Learning Data Analytics?

How Long Does it Take to Learn Data Analytics?

Should I Learn Data Analytics In Person or Online?

Can I Learn Data Analytics Free Online?

What Should I Learn Alongside Data Analytics?

Industries that Use Data Analytics

Finance

Retail

Healthcare

Manufacturing

Marketing

Government

Data Analytics Job Titles and Salaries

Data Analyst

Business Intelligence Analyst

Data Scientist

Marketing Analyst

Data Engineer

Data Analytics Classes Near Me

Data Analytics Corporate Training

NYC Data Analytics Courses by School

Data Analytics Bootcamp (Online)

Data Science Bootcamp (Online)

Data Science Short Course (Online)

Data Analytics Short Course (Online)

Online Data Analytics Bootcamp (Full or Part Time)

Data Analytics Technologies Bootcamp

SQL Bootcamp

Tableau Bootcamp

SQL Level I

Data Analytics Technologies Bootcamp

SQL Bootcamp

SQL Level I

SQL Level II

Data Analytics Certificate

Data Science Certificate

Data Science with R: Data Analysis and Visualization

Big Data with Amazon Cloud, Hadoop/Spark and Docker

Data Science with Python: Data Analysis and Visualization

Data Science Bootcamp

Python for Data Science Immersive

Data Science Certificate

Part-Time Data Science Bootcamp

Python for Automation

Data Science Bootcamp

Data Wrangling With Python

SQL Querying Fundamentals - Part 1

SQL Querying Fundamentals - Part 2

Introduction to SQL Databases

NYC Data Analytics Corporate & Onsite Training Noble Desktop

Data Analytics Training Locations in or Near NYC

NYC Careers & Salaries Related to Data Analytics

Related Classes

NYC Data Analytics
Corporate & Onsite Training