What You Will Learn
As a data scientist you are the future!
Data is continuously being collected about many aspects of our lives, and industries of all kinds are using it to better understand our world and help solve its important problems. From public health to entertainment, agriculture to travel, banking to cyber security, data is collected, analyzed and used to make predictions and decisions that affect every-day life. Study data analytics and see the doors open to an exciting and bountiful array of high-paying job opportunities as you help shape the world.
The certificate in Data Analytics at CCM prepares you to apply in-demand data science techniques, skills and tools to:
- Work with real-world data
- Answer and solve societal problems
- Identify and predict trends
- Collaborate with others
- Explore ethical issues related to data privacy, security, and integrity
Curriculum
Earn your certification after completing only 5 courses! The 16-credit program at CCM provides you with skills in Probability and Statistics, Computer Programming, Computational Thinking, Data Storage and Access, and Machine Learning. You will learn R, Python, Tableau and SQL — in-demand technology skills for the New Jersey labor market – in one year at CCM.
Careers in the Field
The average salary in the New York City area for data scientists is $49.76 per hour or $103,500 per year. With an expected 35% growth in career opportunities an array of pathways is waiting for you.
- Big Data Engineer
- Business Intelligence Engineer
- Data Analytics Consultant
- Data Architect
- Data Business Analyst
- Data Visualization Developer
- Junior Data Support Specialist
- Machine Learning Scientist
- Operations Analyst
- Predictive Analytics Professional
- Project Manager
- Quantitative Analyst
- Report and Analytics Designer
- Report and Analytics Developer
- Statistician
This Certificate of Achievement in Data Analytics can help you in your academic journey or in jump-starting your career in data science. Pair the certificate with an existing CCM degree or use its college credited courses and skills to enhance your resume. The Data Analytics certificate of achievement is also “stackable”, meaning it can be applied to the following associate degree programs: Mathematics, Information Technology and Business Administration at CCM – check back soon as more are in the works!
Why Study Data Analytics at CCM?
CCM is a leader in the data science field. We are the first community college in New Jersey to offer an accredited certificate program.
Our collaborative, team-based learning environment allows you to work with others to analyze real-world data to solve problems or answer questions.
Taught by professors with experience in the field, classes are held in small classrooms equipped with industry-standard software to ensure that you graduate with current and relevant skills.
The program can also be completed 100% remotely, from anywhere in the U.S., through CCM’s Virtual Campus!
Gain experience learning in-demand technology and software including Python, R, SQL and Tableau to open doors of job opportunity in New Jersey.
Paying for Your Data Analytics Certificate
Earning a certificate of achievement from CCM is a powerful investment that is a springboard to both increased earnings and job satisfaction. But what is the upfront cost and how do you afford it?
There’s good news: Money is available to help you pay for school! Our Financial Aid staff can provide lots of information about the process of finding funds to help pay for your CCM education.
Featured Courses
Introduction to Data Science
Introduction to Data Science will provide students with data literacy skills to understand techniques in data manipulation, visualization and interpretation. This project-based course will allow students to utilize a toolkit of statistical software to perform data science methods. Ethical issues related to data privacy, authenticity and security will be addressed alongside an introduction to artificial intelligence.
Fundamentals of Programming
This is a fundamental course in problem solving and programming. This course introduces concepts such as how to solve problems by designing and implementing algorithms using a popular programming language. Topics include pseudocode, algorithms, variables, constants, using decisions and loop structures to construct effective code, using built-in functions, creating functions and modules, and simple debugging techniques for detecting errors. Use of real-world problems in Web Development, Cybersecurity and Data Science are explored. No prior programming experience is required.
Data Science Programming
This course covers problem solving strategies and programming techniques specific to data analytics using an industry-standard, general-purpose programming language and tool set. Students will learn how to gather input from structured and unstructured sources of various formats, stored locally and remotely through cloud computing, and use programming libraries and application programming interfaces to efficiently process data and present information. Team and individual projects will analyze real-world, large datasets. Data integrity, privacy and security will be considered.
Resources
Colleen Bamford Chairperson / Associate Professor
Email: cbamford@ccm.edu
Office: Emeriti Hall, EH 225
Office hours: Tue 11-12; Wed 1-3
Phone: 973-328-5780
Department: Information Technologies
Nancy Binowski Professor
Email: nbinowski@ccm.edu
Office: Emeriti Hall, EH 221
Office hours: Mon 10-12 (online); Wed 12:30-1, 2:55-3:25
Phone: 973-328-5775
Specialization: Department of Information Technologies consists of Computer Information Systems, Digital Media Technology
Department: Information Technologies
Colleen Carmeli Assistant Professor
Email: ccarmeli@ccm.edu
Office: Emeriti Hall 201
Phone: 973-328-5773
Department: Information Technologies
Al Elbanna Associate Professor
Email: aelbanna@ccm.edu
Office: Emeriti Hall 221
Phone: 973-328-5799
Department: Information Technologies
Dawn Rywalt Associate Professor
Email: drywalt@ccm.edu
Office: CH 276
Office hours: Mon 11-12; Wed 11-12; Fri 11-12
Phone: 973-328-5783
Department: Information Technologies
Vickram Sawh Assistant Professor
Email: vsawh@ccm.edu
Office: Emeriti Hall, EH201
Office hours: Tue 4:50-6:20; Wed 2:30-3:15. 5:00-5:45
Phone: 973-328-5772
Department: Information Technologies
Michael Sidaras-Tirrito Associate Professor
Email: mtirrito@ccm.edu
Office: Emeriti Hall, EH 221
Office hours: Mon 12:15-1:15 (online); Wed 2:00-3:00 (Online); Thur 4:50-5:50
Phone: 973-328-5793
Specialization: Department of Information Technologies consists of Computer Information Systems, Digital Media Technology
Department: Information Technologies
Stephen Stoll Assistant Professor
Email: sstoll@ccm.edu
Office: Emeriti Hall, EH 201
Office hours: Tue 2-3; Wed 11:30-12:30; Fri 11-12
Phone: 973-328-5289
Department: Information Technologies
