At A Glance
Open To
Adult students (17 and older)Campus
RenoTotal Hours Required
238Length
Approximately 3.5 months
Times
6 p.m. to 9 p.m. Tuesday and Thursday on the Reno Campus
Data Analytics
A Certificate of Training demonstrates you have proven the necessary skills to succeed as a data analyst. Classes will be instructor-led for three hours Tuesday, and Thursday night twice a week. There will be some weeks that the class does not meet.
It is suggested but not required students in this course have Excel knowledge to the extent they are comfortable working with PivotTables before enrolling.
Excel training classes are available at the Rockwell campus.
Program Courses
Data Science & Analytics Concepts
Learn the foundational principles of data science and analytics, including key terminology, tools, and processes. This course prepares students for the DSBiz certification, a recognized credential for data-literate professionals.
Data Modeling
Understand how to structure and organize data for analysis. Explore the principles of relational databases, data warehousing, and model design to support accurate and efficient data querying.
Data Analysis & Visualization with Excel (DAVE)
Dive into advanced Excel techniques for cleaning, analyzing, and visualizing data. Learn to build dashboards and reports using functions, pivot tables, and charts that support decision-making.
Power BI
Explore Microsoft Power BI to build interactive dashboards, connect to multiple data sources, and perform detailed data analysis using DAX formulas and Power Query.
Introduction to Tableau
Learn how to use Tableau to create dynamic, visually compelling dashboards and reports. Gain hands-on experience in transforming raw data into clear, actionable insights.
Introduction to R for Data Analysis
Discover the basics of programming in R and its applications in data analysis. Topics include importing data, performing statistical analysis, and creating visualizations.
SQL Querying
Learn to write and optimize SQL queries to extract and manage data from relational databases. This class covers filtering, joins, subqueries, and aggregation techniques.
Data Wrangling with Python
Gain essential Python skills focused on cleaning, transforming, and preparing data for analysis. Learn to work with libraries such as pandas and NumPy to manage large datasets efficiently.
Capstone Project
Apply the knowledge and skills gained throughout the program to complete a real-world data project. The capstone involves defining a problem, gathering and analyzing data, and presenting actionable insights through a final report or dashboard.
A Capstone Project will be completed by the end of the course. Students are expected to meet assignment deadlines, and attend ALL class sessions.
Courses
You will spend a total of 88 hours "in class" completing work required for this course. It is also estimated that you will spend a remaining 150 hours doing required work outside of class time; however, this may vary by student.
- In-Class Work 88 hours
- Estimated Out-of-Class Work 150 hours
Tuition & Costs
Costs for In-State Adult Students
Licensure/Certifications
- Data Analyst Certificate of Training
Tuition & Fees
- $900
Textbooks, Supplies and Certifications
- Textbook - $438
Total Cost
- $1338
Employment & Outcomes
Employment Opportunities
Graduates of this program are qualified to work for:
These skills apply in many different workplaces and industry settings. Logistics, manufacturing, human resources, energy, aerospace, and warehousing are just a few areas where data analytics is a primary task.
