The ability to gather, prepare, analyze and display data is one of the most sought-after skill sets in the information technology marketplace, with demand spanning across sectors that include healthcare, finance, retail, real estate and even gaming.
This program offers beginner, intermediate and advanced level data analytics courses, which may be taken individually or as part of a series. Certificate program courses not offered this quarter will be offered in a future quarter.
As a LaGuardia Community College student, you will have access to the services offered by the Career & Technical Education Assistance Center.
To learn more click here
Partial tuition scholarships are available for eligible students. Register for an information session to learn more and apply.
We offer several certification paths:
PATH 1 for Beginner Students
If you are a beginner, you can earn a LaGuardia Certificate in Data Analytics by completing the following courses:
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Data Analytics Foundations (Beginner) - 36 hours
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Python for Data Analytics (Intermediate) - 60 hours
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Data, Databases and SQL (Intermediate) - 36 hours
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Data Visualization with Tableau (Intermediate) - 36 hours
PATH 2 for Beginner Students
If you are a beginner, you can earn a LaGuardia Certificate in Advanced Data Analytics by completing the following courses:
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Data Analytics Foundations (Beginner) - 36 hours
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Python for Data Analytics (Intermediate) - 60 hours
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Data Science: Introduction to Machine Learning Models (Advanced) - 60 hours
PATH 1 for Advanced Students
If you have previous experience with Python, you can earn a LaGuardia Certificate in Advanced Data Analytics by completing the following course(s):
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Data Science: Introduction to Machine Learning Models (Advanced)- 60 hours
COURSES
ACE Scholarship - Introduction to Machine Learning Models
Take your data analysis skills to the next level. Build on your knowledge of data analytics by learning advanced Python and take a deeper dive into machine learning and modeling.
Students must pass previous Data Analytics courses or prove knowledge to register for the Introduction to Machine Learning Models (Advanced) course and qualify for a scholarship
The LaGuardia Foundation offers scholarships to qualifying students in the Division of Adult and Continuing Education (ACE) who may be facing financial hardship that disrupts studies and training.
The ACE Scholarship provides partial tuition assistance to help you achieve your educational and career goals. It will cover 80% of your tuition.
Course Fee without ACE Scholarship = $830
With ACE Scholarship - Student Course Fee Responsibility = $166
Eligibility:
- You must be 18 years old or older.
- You must demonstrate financial need
- You must live in the tri-state area.
You may receive more than one ACE Scholarship per year as long as you have not exceeded the annual or lifetime cap amount.
Instructions:
1. Select "Register/Login" and log in to your account or create a new account. Please do not create a new account if you already have one. You can reset your login credentials if you don't remember them.
2. Add the scholarship application to cart by selecting "Add to Cart."
3. Select "Checkout."
4. Answer the application questions.
5. Select "Place Order."
6. You have successfully applied for an ACE Scholarship. Do not register for the class yet. We will notify you when you can register for the class and make the payment.
ACE Scholarship - Data Analytics and Data Science Program
Get the skills you need to succeed in the booming information technology and analytics marketplace.
See information sessions and course schedules here: Data Analytics and Data Science Program
The LaGuardia Foundation offers scholarships to qualifying students in the Division of Adult and Continuing Education (ACE) who may be facing financial hardship that disrupts studies and training.
The ACE Scholarship provides partial tuition assistance to help you achieve your educational and career goals. It will cover 80% of your tuition.
Course Fee without ACE Scholarship: $2300
With ACE Scholarship - Student Course Fee Responsibility: $ 460
Eligibility:
- You must be over 18 years old.
- You must demonstrate financial need
- You must live in the tri-state area.
You may receive more than one ACE Scholarship per year as long as you have not exceeded the annual or lifetime cap amount.
Instructions:
1. Select "Register/Login" and log in to your account or create a new account. Please do not create a new account if you already have one. You can reset your login credentials if you don't remember them.
2. Add the scholarship application to cart by selecting "Add to Cart."
3. Select "Checkout."
4. Answer the application questions.
5. Select "Place Order."
6. You have successfully applied for an ACE Scholarship. Do not register for the class yet. We will notify you when you can register for the class and make the payment.
Data Analytics Foundations (Beginner)
Acquire the skills that a data analytics professional needs to gather, prepare, analyze and display data from structured and unstructured sources. Become familiar with Python, SQL and Tableau, and learn about the industries and professions that use data analytics. ND
Location: Online
Weekday: Monday,Wednesday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA101S25.T23.01.00
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA101S25.T23.02.00
Location: Online
Weekday: Monday,Wednesday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA101F25.T23.01.00
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA101F25.T23.02.00
Data Visualization with Tableau (Intermediate)
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA203S25.T23.01.00
Location: Online
Weekday: Monday,Wednesday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA203F25.T23.01.00
Power BI for Data Analytics (24 Hours)
Build your knowledge in data visualization and Microsoft Power BI (PBI) fundamentals. PBI has increased in popularity over the last several years to become the data visualization and communication tool of choice for many companies and organizations. Develop the skills you need to complete tasks efficiently in a PBI environment. Study the principles underlying the use of PBI to retrieve, manipulate, and visualize data from large datasets. ND
Python for Data Analytics (Intermediate)
Location: Online
Weekday: Monday,Wednesday
Time: 06:00 PM – 09:00 PM
Fee: $830
Course Code: DATA201S25.T23.01.00
Data Analytics Information Session
Sign up to attend a Data Analytics and Data Science information session.
If you do not see the confirmation email, please check your spam folder.
If you require further assistance, please contact kharro@lagcc.cuny.edu
Program Description:
The ability to gather, prepare, analyze and display data is one of the most sought-after skill sets in the information technology marketplace, with demand spanning across sectors that include healthcare, finance, retail, real estate and even gaming. This program offers beginner, intermediate and advanced level data analytics courses, which may be taken individually or as part of a series. Earn a LaGuardia certificate in Data Analytics by completing Data Analytics Foundations; Python for Data Analytics; Data, Databases and SQL; and Data Visualization with Tableau. You can also earn a LaGuardia certificate in Advanced Data Analytics by completing Data Science: Predictive Analytics.
Location: Online
Weekday: Wednesday
Time: 04:00 PM – 05:00 PM
Fee: $0
Course Code: DATA000U25.T23.01.00
Location: Online
Weekday: Wednesday
Time: 04:00 PM – 05:00 PM
Fee: $0
Course Code: DATA000U25.T23.02.00
Location: Online
Weekday: Wednesday
Time: 04:00 PM – 05:00 PM
Fee: $0
Course Code: DATA000U25.T23.03.00
Location: Online
Weekday: Wednesday
Time: 04:00 PM – 05:00 PM
Fee: $0
Course Code: DATA000U25.T23.04.00
Data Science: Introduction to Machine Learning Models (Advanced)
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $830
Course Code: DATA301S25.T23.01.00
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $830
Course Code: DATA301F25.T23.01.00
Data, Databases and SQL (Intermediate)
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA202F25.T23.01.00
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA202F25.T23.02.00
REQUIREMENTS
- Prerequisite for Data, Databases and SQL (Intermediate), Python for Data Analytics (Intermediate), and Data Visualization with Tableau (Intermediate): Data Analytics Foundations or passing of an assessment that requires basic knowledge of statistics and intermediate knowledge of Microsoft Excel
- Prerequisite for Data Science: Predictive Analytics (Advanced):Data Analytics Foundations and Python for Data Analytics or passing of an assessment that requires intermediate knowledge of Python and statistics
INSTRUCTOR BIOS
Nayah Boucaud is a PhD candidate at the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. With a rich background in Artificial Intelligence and Human Cognition, she brings a unique perspective to the classroom, blending rigorous academic research with practical applications in Artificial Intelligence/Machine Learning (AI/ML) Development, Data Science, and User Interface/User Experience (UI/UX) Design. Her work explores the dynamic relationship between computational tools and human intelligence, aiming to empower students with the knowledge and skills to navigate and contribute to the evolving technological landscape. Nayah is deeply committed to fostering an inclusive learning environment that reflects a diversity of perspectives, ensuring that technological advancements serve to augment rather than replace human creativity and critical thinking.
Neeraj Sharma (Executive MBA and Bachelor Degree in Computer Science) is a seasoned business and technology leader with over two decades of experience in executing and managing large scale implementations in the Data Analytics space. He is a hands-on leader with a special focus on carrying out Artificial Intelligence and Data Analytics projects that solve large scale customer problems and help drive industry innovation. One of Neeraj’s main objectives is to help companies achieve their goals by adopting a data driven approach to their strategic decision-making process with the right use of Artificial Intelligence/Machine Learning and Business Intelligence technologies. Neeraj is a Visiting Faculty Member at Rutgers Business School and has mentored and trained many successful candidates in the AI, Data Analytics, Data Science and Business Intelligence space.
Niteen Kumar (Big Data Specialization, Massachusetts Institute of Technology (MIT); Master Degree in Data Science, Bachelor Degree in Electronics and Communication Engineering), is a multi-skilled data scientist and senior solution architect with a focus on data science, machine learning, advanced analytics and AI for building information driven enterprise. He has over 15 years of experience in the software industry and plays an analytical role in researching, designing, implementing and deploying scalable data science and machine learning solutions. One of his main objectives is to ensure that data science groups adopt the best-in-class processes and techniques. Niteen has expertise in data engineering and Big Data space and brings his years of work experience to the classroom. He worked with one of the major EdTech firms for his online course, “Data Science with Python,” which now has over 18,000 learners. He also worked closely with LaGuardia Community Colleges to develop and launch the micro credential Data Analytics and Data Science Program.
CAREER PROFILE
LaGuardia’s Data Analytics and Data Science Program courses provide a broad foundation of skills that can be applied to a variety of sectors and titles, including management analyst, market research analysts and financial analyst.
These three occupations have potential wages in the six figures, median wages over $80,000, and entry-level wages over $48,000.
These three occupations encompass almost 100,000 jobs in New York City and an average of over 3,500 annual openings. Over the next decade management analyst jobs are expected to grow by 24% and market research analysts by 28%.
(New York State Department of Labor Occupational Employment Statistics Long-Term Occupational Projections)
TESTIMONIALS



LaGuardia TechHire Data Analytics Incumbent Worker Training—which uses the same curriculum as our Data Analytics and Data Science Program—was the recipient of the 2021 James C. Hall Jr. Exemplary Non-Credit Program Award from the Continuing Education Association of NY (CEANY)! This award recognizes non-credit programs that are creative, successful, innovative, and provide a new direction for continuing education.
PARTNERS
Register
Ways to Register
Online
By phone
(718) 482-7244
With payment by MasterCard/Visa/Discover/American Express.
Discounts and waivers apply to all courses except those designated ND.