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Data Analytics Courses in NYC or Live Online

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Launch your career as a data analyst with hands-on courses and certificate programs

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Featured Courses

Earn a certificate in data analytics in our full or part-time programs. Our courses are taught and developed by top data analysts in New York and are open to students with no programming experience.

  • Data Analytics Certificate

    • Weeknights or weekdays
    • 156 hours
    • Open to beginners
    • Financing available
    • 1:1 Mentoring

    Learn the skills you’ll need to become a Data Analyst or Business Analyst, including data analysis, visualization, statistical analysis, and how to work with relational databases. Build a portfolio of projects and prepare for a career.

    View course
  • Data Science Certificate

    • Weekdays, weekends, or weeknights
    • 114 hours
    • Open to beginners
    • Financing available
    • 1:1 Mentoring

    Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.

    View course
  • Data Analytics Technologies Bootcamp

    • Weekdays only
    • 57 hours
    • Open to beginners
    • Payment plan available

    Learn the industry-standard tools for data analytics: Excel, SQL, and Tableau. Organize, analyze, summarize, and visualize your data to present actionable insights.

    View course
  • Python for Data Science Bootcamp

    • Weekends, weekdays, or weeknights
    • 30 hours
    • Open to beginners

    Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.

    View course
  • 45,000+
    Students
  • 33
    Years
  • 2,500+
    Testimonials

Data Analytics Courses

Analyze, summarize, and visualize data with Excel, SQL, and Tableau. Master the tools you need to succeed as a data analyst.

  • Excel for Data Analytics

    • Weeknights or weekdays
    • 18 hours
    • Prerequisites required

    Learn the Excel skills you'll need to perform common types of data analysis. Learn Pivot Tables, VLOOKUP, Sort & Filter, and advanced functions, as well as techniques to speed up your workflow.

    View course
  • SQL Bootcamp

    • Weekdays, weeknights, or weekends
    • 18 hours
    • Open to beginners

    Learn to extract info from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You’ll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL

    View course
  • Tableau Bootcamp

    • Weekdays or weeknights
    • 12 hours
    • Open to beginners

    Tableau is a powerful tool, giving you full control of the look and feel of your visualizations, and helping compile your charts in the form of stories and dashboards. 

    View course
  • SQL Server Bootcamp

    • Weekdays or weekends
    • 20 hours
    • Open to beginners

    Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results so you can turn data into actionable insights.

    View course
  • Data Analytics Foundations

    • Weekdays or weeknights
    • 12 hours
    • Open to beginners

    Learn the fundamentals of data analytics in this beginner-friendly class. Find out how Data Analysts and Business Analysts use analytics and statistical modeling for problem-solving, decision-making, and forecasting.

    View course
  • Power BI Bootcamp

    • Weekdays only
    • 12 hours
    • Open to beginners

    Learn how to easily create measures to find SUM, COUNT, MAX, and more with a click of a button. Make the best use of the mysterious filter context and use Power BI’s DAX language to power your data visualizations. You’ll also get tips on which Power BI experts to follow to gain the knowledge that will transform you into an expert at your workplace.

    View course
  • Data Analytics with R Bootcamp

    • Weekdays only
    • 30 hours
    • Open to beginners

    Visualize data with the R programming language in this immersive data analytics bootcamp.

    View course

Learn the Skills Guarantee™

Learn the concepts and skills covered in these courses or your tuition is on us. See details and terms & conditions.

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Data Science Courses

  • Data Science Certificate

    • Weekdays, weekends, or weeknights
    • 114 hours
    • Open to beginners
    • Financing available
    • 1:1 Mentoring

    Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.

    View course
  • Python for Data Science Bootcamp

    • Weekends, weekdays, or weeknights
    • 30 hours
    • Open to beginners

    Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.

    View course
  • Python for Automation

    • Weeknights, weekdays, or weekends
    • 6 hours
    • Prerequisites required

    Learn Python to extract data from websites. Along the way, you’ll learn how to write loops so that your web scraping code can process a large number of pages.

    View course
  • Python Machine Learning Bootcamp

    • Weeknights, weekdays, or weekends
    • 30 hours
    • Prerequisites required

    Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.

    View course
See All Data Science Courses

Corporate & Onsite Training

Help your team harness the power of big data. Create a custom training program at your location or ours, or send employees to our regularly-scheduled group classes.

Request more info: hello@nobledesktop.com

Data Science

Use the power of Python and R to automate tasks and make informed data driven predictions.

Databases

Harness the power of SQL to extract, summarize, and analyze data.

Data Analytics

Train your employees in Excel & VBA to increase productivity in day-to-day work.

Data Visualization

Use data visualization tools Tableau and Power BI to create intelligent and easy-to-read charts.

Private Training

  • Available onsite at your location
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  • Customize or choose from our existing courses
  • Free instructor consultations to finalize content
Or

Group Class Vouchers

  • Send employees to our group classes
  • Extensive offerings and flexible scheduling
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We’ve trained thousands of companies!
Let us create the perfect program for your team.

hello@nobledesktop.com (212) 226-4149

Why Learn at Noble

Launch your career as a data analyst. Our modular approach makes learning more affordable and easy to build on. You can start with our introductory Python and SQL courses and earn a certificate over time. You only take the classes you need to increase your earning potential, gain in-demand skills, and embark on a career in a new line of work!

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    Learn Real-World Design & Coding Skills

    “Noble Desktop is far and away the most efficient way of gaining computer graphics skills. They give real-world exercises to work on, teach best practices, and inspire many an ‘aha!’ moment. Highly recommended.”
    Joanne Hu

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    30 Years of Experience

    Since 1990 we have perfected the craft of teaching. If students get hung up on an issue, we tweak the class to make it better. We’re the longest running independent training center for code and design in NYC.

Highly Reviewed by Our Alumni

From our hands-on training style to world-class instructors and proprietary curriculum, we deliver a learning experience our alumni can be proud of.

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Our Data Analytics Courses are rated 4.7 stars by 513 students

in the past 24 months

Having no prior knowledge or experience in computer/data science, I feel as though this course prepared me well in order to use and apply Python through a thorough, yet understandable curriculum.

Gabriel Kerstein

Matt was awesome. He's knowledgeable, thorough, easy to understand, and laid-back enough to keep me from feeling overwhelmed by the amount of material he was covering! He's also great at helping students troubleshoot, so that they understand exactly where they may have gone wrong in an exercise. This was critical for me to truly understand what I was doing, so I'll know what to do once I'm on my own.

Mindy Carpenter

Great class! There was a good balance of lecture and practice. The exercises were fun and really helped me practice the skills learned in the lecture portion. Ethan was a great instructor too!

Elizabeth Fahey
Canon USA

The instructors are top notch; very approachable and they know their stuff. Their class format is see and do; they explain an exercise step by step then have you complete it and are there to help you if you get stuck. I found the hands-on approach very effective. The exercises are modular and build on previous ones and every time you complete one you've made something happen that you didn't know how to do 30 minutes ago. That's a great feeling and helps keep you engaged in what you're learning. Piece by piece you're building practical skills that you can apply immediately.

Jonathon Powell

Thalo is a great machine learning instructor. He takes his time to make sure you have good notes and explains everything so that you are not left behind.

Mayhugh Davis

As an experienced analyst looking to expand my skillset to include Python, this class was ideal. Without having any Python experience I am now confident I can start leveraging it in my day-to-day work. The class covers everything from how to install and access Python, to data manipulation and visualization.

Harry S Vanderburg
ABILITY Network

Professional, supportive, engaging and down to earth instructors. Noble Desktop is always there for you.

Mai Amouyal

In just one week, I went from knowing nothing about Python to being able to code in numerous ways. This virtual course did a wonderful job feeling like an in-person course and we had an engaging teacher.

Merianne Spencer

Whether you are a beginner, slow learner, or intimidated by coding, this class will ease your fears.

Amanuel Melekin
Centers for Disease Control and Prevention

Had a great experience and learned a lot within such a short period of time.

Russel Rouf

Genghis was AMAZING. He was so clear in his explanations, and especially helpful if you had a specific question. I am in an online bootcamp now and his instruction was fantastic and helped me tremendously. Great format to offer practice SQL exercises, and then review with the instructor.

Tracy D.

Excellent materials and quality of instruction. I came away feeling confident in what I knew and with lots of detailed notes that I could refer to in the future. Probably the best virtual instruction that I've attended!

Leron Culbreath

I thought the content for the class provided good coverage of the foundations of Python. Art is a good instructor. I like his approach of teaching a concept, then giving us an exercise to work through.

Michael M.

This class helped me with navigating through Tableau. I have increased my skills and can only give credit to this bootcamp.

Will Haskins

The 5-day Python bootcamp was excellent! It was exactly what I needed to get a broad overview of Python, and it got me excited to continue coding. The course instructor Brian was fantastic. He kept the class fun, interesting, and engaging. I really enjoyed his teaching style.

Rasia Naidoo

This course was very beneficial for me and helped me become familiar with an up-to-date data visualization tool - highly recommended.

Dookyoo Kim

I was skeptical about whether to join these classes since I don't have any previous experience in any coding or programming languages. But the classes are appropriate for any beginner and make understanding and learning skills easy.

Anwesh Kumar Yeddula Sobitha

I had a great experience with the Data Analytics with R course at Noble Desktop! Thorough instruction and a wide breadth of content all in a 30-hour week.

Sarah Binder

This was easily the best instruction I have received all year -- I honestly feel like 3 days was enough time to get the entirety of Python's basics down, and I am looking forward to actively pursuing this as a data language. Boris was a fantastic teacher with excellent pacing and an easy-to-understand style, and the class materials were laid out in a sensible manner to pack a lot of content into a few short days of instruction.

Zachary Rusconi

Demystifying Data Analytics

What is Data Analytics?

In this increasingly tech-enabled world, everything from washing machines to doorbells connects to wifi. There has never been a more exciting time to learn about data!  According to Forbes, more than 50% of companies are analyzing Big Data (a fancy term for massive datasets).

Data Analytics is the process of manipulating and analyzing data to understand and uncover insights that can influence business decisions. Companies use these insights to target and adjust their efforts to reach their target audience. Customer and social analysis are among the primary goals for data analytics in most companies.

Data Analytics vs. Data Science

Like data analytics, data science is also a hot topic but involves an entirely different set of skills and tools. Data science is the study of data, with the focus of using algorithms, mathematics, and techniques to extract useful data from non-traditional data sources. While data analytics relies on readily available data, data science focuses on how to extract this data into a usable form that can be processed and analyzed with data analytics software.

Data scientists use tools like the coding language R and Hadoop framework to “scrape” or extract raw data from a website. In data science programs, students often learn how to “scrape” public websites with lots of raw data, such as Twitter or Google.  Examples may include writing an algorithm to produce all results in a web directory or finding all of the records containing a specific word on a public site.

Another way to look at the difference between data science and data analytics is to view data science as preparing data before analysis, and data analytics as reviewing data after the fact.  Data scientists are experts in data extraction, cleaning and preparation while data analysts are experts in uncovering trends and actionable insights. Despite being similar in name, data science and data analytics involve entirely different processes, tools, and functions of data.

Data Analytics Jobs

Data analytics jobs fall into different categories depending on your knowledge of programming and statistics. Most data analytics jobs fall within the business analyst role, in which data professionals work with Excel and Tableau. Some may have additional skill in a programming language or other specialized software.

Most data analytics professionals must incorporate data from a variety of tools to form one coherent story. A campaign targeted to customers including website traffic, social media, and other forms of marketing can form three separate data sources.  To determine which strategies are most effective and identify new approaches that can lead to even more customer engagement and sales, data analysts often import data into one program.

Business analysts typically use tools, such as Microsoft Excel or another tool to analyze data and Tableau or another visual tool to communicate actionable insights to decision makers. Statisticians take data analytics a step further by using R, SPSS, or other statistical analysis tools to determine risk or make predictions. Other data analysts work within large databases, such as SQL or Microsoft Access.

Data Analytics Tools

Microsoft Excel

Despite being a popular tool that most individuals have on their personal and business computers, very few people harness the complete power of Microsoft Excel. Microsoft Excel is a data analytics powerhouse that offers support at every stage of the data analytics process from cleaning and analyzing data to performing analysis and displaying results in charts and graphs. Its most advanced users write macros (complex instructions that automate computer tasks) using Visual Basic for Applications (VBA), a coding language used to program Excel.

Microsoft Excel can do the following tasks:

  • Reformat data
  • Use formulas to calculate new values from existing data
  • Forecast financials using equations and functions
  • Complete math functions and statistical analysis functions like ANOVA and regression
  • Display results and analysis using pie, line, and bar charts

Learn more about Microsoft Excel and our courses.

SQL

SQL (whether it’s pronounced ess-que-el or SEQUEL is up for debate) is a coding language used to store, organize, and retrieve data from relational databases. With SQL you can analyze data for an e-commerce store by joining multiple datasets or tables to gain new insights.  For example, you can query and merge two datasets, one containing customers and another containing orders to determine all of the customers that bought a specific product and their particular location.

It is important to note that SQL is not a database itself, but rather a command language used to communicate with a relational database, most commonly Microsoft SQL server.

In recent years, programmers have created adaptations of SQL to use with modern object-oriented or non-relational databases. With SQL, you can perform the following tasks:

  • Create a database
  • Sort and/or filter data within a database
  • Query a database to find specific information about a product or user
  • Join two different datasets to view information that meets specific criteria
  • Convert output data or export it to external applications

Discover our industry-leading SQL Bootcamp.

Tableau

Tableau is a powerful tool that allows you to visualize your data analysis. The benefit of Tableau is that non-technical professionals and decision-makers can immediately notice trends and data insights without pouring over detailed reports or data sets. Tableau is useful in any industry with access to data and is a popular tool in both the public and the private sector.  

With Tableau, you can do the following:

  • Connect raw datasets from almost any program including Microsoft Excel, SQL, Microsoft Access, and SPSS
  • Use Tableau Prep®  to clean and analyze data for further analysis
  • Analyze trends and stories within your data
  • Create responsive insights that can be customized by colleagues
  • Manipulate interactive charts, graphs, and other representations of data

Get started with data visualization in our hands-on Tableau Level 1 training. 

Continue reading

Learn Where You’re Comfortable

Attend at our campus in NYC or learn remotely, live online

On Campus in NYC

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Get face-to-face interaction with an instructor and other students when you learn at our NYC campus. Courses are hands-on with a computer and software provided.

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Remote, from anywhere

Get the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.

  • Live, interactive class
  • Experienced instructor teaching over Zoom
  • Remote setup assistance provided
  • Free retake within one year

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Data Analytics Resources

Free Resources

  • Python vs. Excel for Data Analytics

    In this article, we'll discuss two of the most popular tools for data analytics, Excel and Python. We'll walk through how each of these tools fares across a variety of dimensions to help you with your next steps in professional development and learning.

  • Learning the Math used in Data Science: Introduction

    Data Science is truly comprised of two main topics: math and programming. However, one does not need to be a computer scientist or mathematician, one does not even need to have taken algebra or a basic programming class to start. 

  • Free Online Class: Get Started in Data Science

    In simple terms, data science is exactly what it sounds like: the science of using data to obtain information, and, ideally, to make decisions based on the data that was obtained. In many industries, the goal of using data science is to make st...

showing 3 of 3 resources

Upcoming Data Analytics Classes in NYC or Live Online

All times are listed in Eastern Time unless otherwise specified.

February 2023
Data Analytics Certificate
February 6–August 23
Weeknights 6–9pm
$4,995
156 Hours
NYC or Live Online

Learn the skills you’ll need to become a Data Analyst or Business Analyst, including data analysis, visualization, statistical analysis, and how to work with relational databases. Build a portfolio of projects and prepare for a career.

Add to cart
Tableau Bootcamp
February 15–16
Wednesday to Thursday 10–5pm
$499
12 Hours
NYC or Live Online

Tableau is a powerful tool, giving you full control of the look and feel of your visualizations, and helping compile your charts in the form of stories and dashboards. 

Add to cart
Data Analytics Certificate
February 27–April 5
Weekdays 10–5pm
$4,995
156 Hours
NYC or Live Online

Learn the skills you’ll need to become a Data Analyst or Business Analyst, including data analysis, visualization, statistical analysis, and how to work with relational databases. Build a portfolio of projects and prepare for a career.

Add to cart
March 2023
SQL Bootcamp
March 6–8
Monday to Wednesday 10–5pm
$975
18 Hours
NYC or Live Online

Learn to extract info from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You’ll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL

Add to cart
Data Science Certificate
March 6–April 5
Weekdays 10–5pm
$3,995
114 Hours
NYC or Live Online

Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.

Add to cart
Tableau Bootcamp
March 9–10
Thursday to Friday 10–5pm
$499
12 Hours
NYC or Live Online

Tableau is a powerful tool, giving you full control of the look and feel of your visualizations, and helping compile your charts in the form of stories and dashboards. 

Add to cart
Python for Data Science Bootcamp
March 11–April 8
Saturdays 10–5pm
$1,495
30 Hours
NYC or Live Online

Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.

Add to cart
Data Science Certificate
March 11–August 5
Weekends 10–5pm
$3,995
114 Hours
NYC or Live Online

Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.

Add to cart
Python for Data Science Bootcamp
March 13–17
Monday to Friday 10–5pm
$1,495
30 Hours
NYC or Live Online

Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.

Add to cart
Tableau Bootcamp
March 20–29
Mondays & Wednesdays 6–9pm
$499
12 Hours
NYC or Live Online

Tableau is a powerful tool, giving you full control of the look and feel of your visualizations, and helping compile your charts in the form of stories and dashboards. 

Add to cart
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