What You Will Learn
In the Data Analytics and Visualization non-credit certificate program through the Center for Workforce Development, students learn the elements of data manipulation, visualization, and interpretation in order to aid data-driven decisions in any field.
Learn How to:
- Analyze large data sets
- Tell a story with data
- Present data in multiple formats
- Use statistics in data analysis
Curriculum
Students learn the basics of R programming, an essential programming language for analyzing large data sets, and apply it to advanced data science methodology. Visual Basic programming allows students to integrate Excel in interpreting large data sets. Students employ statistical analysis to detect correlations between variables and look for patterns in the data.
Careers in the Field
- Data Analyst
- Data Scientist
All companies, large and small, are using data to improve operations and financial performance. They need data analysts to help them make data-driven decisions for marketing, sales, purchasing, and more.
Why Study Data Analytics and/or Data Visualization at CCM?
Through a progression of courses at CCM, you can earn a Certificate in Data Analytics or Data Visualization.
The Data Analytics and Visualization program will allow you to network and experience data from multiple professional perspectives. Explore data from various industries as your instructors guide you through learning these tools.
Paying for Your Data Analytics Education
The Data Analytics and Visualization program at CCM has been approved by the NJ Department of Labor for NJ residents who are unemployed or underemployed and wish to receive a training voucher to pay for this program. If you are un/underemployed, click here for information on how to qualify.
Contact Us
Center for Workforce Development, County College of Morris
Student Community Center, Room 125
214 Center Grove Road, Randolph NJ 07869
E: wfd@ccm.edu
P: 973-328-5187
Data Analytics and Visualization
Business Analytics with Excel (CPC-629E)
PREREQUISITE: Proficient/intermediate knowledge of MS Excel.
Learn how data science is applied in business. Explore concepts in correlation, regression analysis, hypothesis testing and multivariate analysis. Learn how correlation helps to understand portfolio diversification and design. ‘What If’ analysis will be covered utilizing the Solver and Goal Seek features of Excel. Students will need to save their work to their local computer or a flash drive.
INSTRUCTOR: Lakeisha Garrett, MBA
3 sessions: 6 hrs, CEU 0.6
Cost: $299
R-Programming – Introduction to R (CPC-631E)
R’s widespread popularity in today’s data driven business world makes R a must-know data analysis tool in almost every field of business: finance, bioscience, supply chain, sports, retail, marketing, social media, manufacturing and even journalism. R is a software program used to analyze large data sets. Students will complete projects analyzing large data sets related to environmental and business issues. The course will cover exploratory data analysis techniques, visualization methods, modeling and ideas in reproducible research using packages from base R. Students will learn the basic syntax for R and how functions and packages work. Students will need to save their work to their local computer or a flash drive.
INSTRUCTOR: Weiwen Li, MA
Remote-Live
3 sessions: 6 hrs, CEU 0.6
Cost: $299
R-Programming – Advanced R for Data Science (CPC-603E)
PREREQUISITE: Proficient knowledge of MS Excel and the Introduction to R Programming course or some programming knowledge.
The course will expand on the topics covered in the Introduction to R Programming course. Advanced topics include the use of the Tidyverse and learning the ggplot2, dplyr and tidyr packages. In addition, advanced data science methods such as k-means, clustering and dendrograms will be covered. Students will need to save their work to their local computer or a flash drive.
INSTRUCTOR: Weiwen Li, MA
Remote-Live
5 sessions: 10 hrs, CEU 1.0
Cost: $499
Tableau I (CPC-618E)
The first session in CCM’s four-part series introduces Tableau. Learn basic Tableau fundamentals as well as connecting and preparing data, exploring data and managing, sorting and grouping data.
4 sessions: 8 hrs, CEU 0.8
Cost: $499
Tableau II (CPC-619E)
This course picks up where Tableau I leaves off. It includes saving and sharing, filtering data, custom visualizations and creating maps, dashboards and stories.
4 sessions: 8 hrs, CEU 0.8
Cost: $499
Tableau III (CPC-632E)
Students will move beyond fundamentals to perform advanced data visualization. Blend data to visualize relationships, join data, access data in PDFs and refine your visualizations with sets and parameters.
Tues and Thurs, April 23-May 2, 6:30-8:30 p.m.
4 sessions: 8 hrs, CEU 0.8
Cost: $499
Apr 23, 2024 – May 2, 2024 | 6:30 pm – 8:30 pm
Course ID: 28877
Tableau IV (CPC-633E)
Complete the CCM Tableau series and earn your Data Visualization Certificate as you conclude with manipulating data with calculations, visualizing data with advanced calculations, performing statistical analysis and forecasting and learning to enrich visualizations, dashboards and maps.
Tues and Thurs, May 7-16, 6:30-8:30 p.m.
4 sessions: 8 hrs, CEU 0.8
Cost: $499
May 7, 2024 – May 16, 2024 | 6:30 pm – 8:30 pm
Course ID: 28878
Visual Basic Applications in Excel (CPC-624E)
PREREQUISITE: Proficient knowledge of MS Excel.
Make your Excel spreadsheets much more powerful. Learn to record macros and about the basics of VB programming. The course will teach you to read, write and debug VB code, how to pass lists and floating variables though VB, to use conditional statements, and create input and message boxes. At the end of this course, you will be familiar with the VBA programming language as it applies to Microsoft Excel and will apply this knowledge to make interactive and fully functional spreadsheets. Students will need to save their work to their local computer or a flash drive.
Tues and Thurs, May 21-28, 6:30-8:30 p.m. (NEW DATES)
3 sessions: 6 hrs, CEU 0.6
Cost: $299
May 21, 2024 – May 28, 2024 | 6:30 pm – 8:30 pm
Course ID: 28873
