Raise your skill level in a valuable field that applies to almost any industry
Build practical skills for turning data into informed workplace decisions. This certificate program combines analytical foundations with Excel, Power BI, Tableau, R, SQL, and Python. Existing coursework incorporates evaluation of AI-assisted analysis and an introduction to Microsoft Fabric’s connected data environment. Students practice checking results, protecting information, and explaining their reasoning while completing the program’s eight core courses and final capstone.
Participants may enroll in individual courses based on their professional goals or personal interests. To earn the Data Science & Analytics Certificate, students must successfully complete all eight core courses and the culminating capstone project. There is an optional course, Python for Beginners. To give students a head start on the Data Science & Analytics Certificate Program
Data literacy is a critical skill in today’s job market. Whether you’re looking to start a new career or enhance your current role, this program equips you with the tools and certifications needed to succeed in fields such as business analytics, operations, finance, marketing, and beyond.
Organizations of all sizes rely on data to improve efficiency, reduce costs, identify trends, and make informed business decisions. The Data Science & Analytics Certificate Program equips students with the technical and analytical skills needed to transform data into actionable insights.
Through hands-on training in Excel, Power BI, Tableau, SQL, R, Python, Microsoft Fabric, and AI-assisted analytics, students learn how to collect, organize, analyze, visualize, and communicate data in a professional business environment. Graduates develop practical experience working with industry-standard tools used by employers across numerous sectors.
Successful completion of this program can help prepare students for entry-level and advanced roles such as:
The skills acquired in this program are transferable across a wide variety of industries, including:
Data analytics is one of the fastest-growing skill areas in today's workforce. Whether you are entering a new career field, advancing within your current profession, or seeking to increase your value to employers, this program provides a strong foundation for continued growth in areas such as:
The program culminates in a comprehensive capstone project that allows students to apply their knowledge to a real-world business problem while building a professional portfolio of work to showcase to current or future employers.
Those interested in this course should contact Carl McPherson via email, or call him at 405.717.4166.
Whether you are seeking a new career, a promotion, or enhanced analytical skills for your current position, the Data Science & Analytics Certificate Program provides practical, job-ready training that is applicable across today's data-driven economy.
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 that students in this course have a working knowledge of Excel to the extent they are comfortable working with PivotTables, and also a working knowledge of Python before enrolling
Excel training classes are available at the Rockwell campus.
Python training classes are available at the Reno campus.
This class is not required but is highly recommended
Dates: 01/05/27 - 01/28/27
Tution: $260
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.
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.
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.
Explore Microsoft Power BI to build interactive dashboards, connect to multiple data sources, and perform detailed data analysis using DAX formulas and Power Query.
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.
Discover the basics of programming in R and its applications in data analysis. Topics include importing data, performing statistical analysis, and creating visualizations.
Learn to write and optimize SQL queries to extract and manage data from relational databases. This class covers filtering, joins, subqueries, and aggregation techniques.
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.
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.
You will spend a total of 87 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.
