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Data Analytics and Visualization

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Data Analytics and Visualization

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Turn Data Into Opportunity

Unlock the skills that businesses rely on every day to make smarter decisions. Our Data Analytics & Visualization program is designed for learners who want practical, job-ready training that leads directly to career opportunities in the growing field of data analytics.

Whether you’re new to data or looking to level up your skills, this program gives you the tools, confidence, and hands-on experience employers look for.

✅ Workforce-Focused Curriculum

Every course is designed with employer needs in mind. Students learn the tools and techniques used in real-world analytics roles today.

✅ Hands-On, Practical Training

You’ll work with real datasets and complete portfolio-ready projects that demonstrate your skills to potential employers.

✅ High-Demand Career Skills

Graduates are prepared for entry-level roles such as Data Analyst, Business Intelligence Analyst, Reporting Specialist, and more.

✅ Supportive Learning Environment

Instructors with industry experience help you build confidence as you learn new tools and apply them to real problems.

Coming soon: Intro to Data Analytics Applications/Modeling

Prerequisite
While designed for beginners, a basic understanding of computer programming (python and R) and statistics concepts is beneficial. Visualization techniques utilizing excel, google sheets or Tableau are also useful. Certifications in Data Analytics would be ideal for this course.

This introductory course will provide an overview of the principles, tools, and applications of data analytics and modeling, equipping students with the foundational skills to transform raw data into actionable business insights. Students will:

  • Explore the entire data analysis lifecycle, from defining a problem to presenting results, using industry-standard techniques and software.
  • Utilize programming languages such as Python or R, alongside tools like SQL and Excel, to manage, clean, and manipulate data from diverse sources.
  • Develop and validate basic data models, such as linear and logistic regression, classification, and clustering. Communicate findings effectively through data visualization techniques (Tableau, Power BI and others).

Upon completion of course you will be able to utilize data science tools to get business results by doing some real-life modeling. If you are interested in taking this course, fill out the interest form above and mention this course in your comments, or email us at wfd@ccm.edu.

About the Instructors

Alyse Cutler, MBA – Alyse has over 5 years of experience in Supply Chain Management and has been instructing computer software skills classes for over 2 years. She holds an MBA and a Bachelor of Science degree in Information Systems from Ramapo College in NJ. Currently, Alyse teaches Microsoft Office classes at Rockland BOCES. She has also instructed Microsoft Office and Power BI classes as well as data analysis using Microsoft Excel for employees in Bergen County through the Bergen Community College Workforce Development program. Alyse looks forward to helping individuals and businesses improve their computer software skills with a hands-on and engaging learning approach.

Mike Hodgetts, MS, MBA – Mike has over 15 years of experience as a Data Science and is currently Director of Data Science for a large telecommunication provider.  Mike has 4 degrees from NJIT including BS Electrical Engineering Technology, MS in Engineering Management, MBA and MS in Statistics, MS in Data Science from Northwestern University and ME in Artificial Intelligence Engineering from Stevens Institute of Technology.  His strengths are building and leading effective teams to find business insights to help move the business forward in a positive direction.  Mike is recognized for communicating data analytics insights and recommendations to executives that have resulted in significant savings.  Mike also held 3 patents when he was an RF engineer earlier in his career.

Registration closes 3 business days before a class begins.
Please plan ahead and register before the class closes!
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