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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Predictive Analytics: Machine Learning (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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Predictive Analytics: Machine Learning (Advanced) - 60 hours
COURSES
Data Analytics Information Session
Data, Databases and SQL (Intermediate)
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA202F23.T23.01.00
Data Visualization with Tableau (Intermediate)
Data Analytics Foundations (Beginner)
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $490
Course Code: DATA101F23.T23.02.00
Data Science: Predictive Analytics (Advanced)
Location: Online
Weekday: Monday,Wednesday
Time: 06:00 PM – 09:00 PM
Fee: $830
Course Code: DATA301F23.T23.01.00
Python for Data Analytics (Intermediate)
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $830
Course Code: DATA201F23.T23.01.00
Location: Online
Weekday: Tuesday,Thursday
Time: 06:00 PM – 09:00 PM
Fee: $830
Course Code: DATA201F23.T23.01.00
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
Nego Jovanovich
(Master Degree in Computer Information Systems, Boston University; Bachelor Degree in Marketing and Economics, The Ohio State University) has worked as an Advisor in Business Intelligence and Analytics at Cardinal Health and is currently a Principal Consultant at Navigator Management Partner consulting company, now known as Avaap.
There he leads projects within the academic, government, healthcare and retail sectors. Nego and his teammates work closely with Ohio’s Health Department on Covid-19 related data. In addition to teaching at LaGuardia, Nego also teaches analytics at The Ohio State University through the John Glenn College of Public Affairs.
Imran Khan
Has over a decade of experience advising corporations, government, non-profits and start-ups on strategy development, formulation and implementation. He has served as a policymaker in federal, state and local government. Imran’s technical areas of expertise include data science, materials science and engineering, and statistics.
His academic background is in business administration, applied urban science and informatics, public policy, and biochemistry. Currently, Imran works as a data analytics consultant at the i4 Group and principal at Build Well Labs.
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. He has expertise in data engineering and Big Data space.
Niteen 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.
