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CIS: Data Analytics

Tableau business & Data Analytics Program

Learn about our NEW Tableau Business & Data Analytics Program and enroll now!

Did you know that data analytics jobs are growing at a rate of 20% per year? Data analytics skills are highly valued in nearly every industry and are increasingly utilized in a wide-range of job functions. Entry level business analyst and data analyst jobs have been growing over the last five years, and continue to grow, especially in the Silicon Valley. These in-demand jobs include: Data Analysts, Business Analysts, Data Scientists, and Data Engineers. Read this article: "LinkedIn says these are the 10 most in-demand jobs that don't need a degree" and see why you should enroll in our program! You will learn core concepts and technical skills through hands-on software training. This program is made up of four courses: Business Analytics Fundamentals, SQL for Analytics, Data Visualization with Tableau, and Statistics for Analytics. Once you've completed these courses, you should be able to integrate foundational analytics and statistical concepts with practical technical skills to acquire, clean, store, sort, visualize, analyze and present data. Students will also develop a portfolio of work in data analytics that can be showcased to potential employers!

More information

To enroll, either enroll directly via Self Service or fill out the Technest Form:

We held a virtual orientation in 2020:

 

course Descriptions

Course 1 - CIS 120: Fundamentals of Business & Data Analytics

This course is designed to introduce students to the fundamentals of Business and Data Analytics. It aims to develop their understanding of analytics in the context of a business and to provide a framework for students to apply topics such as framing a business problem, stakeholder analysis, data wrangling using Google Sheets, data visualizations, descriptive statistics, exploratory data analysis, and data storytelling in business. After this course, students will be able to clean, visualize, analyze, and communicate data insights to stakeholders. The course culminates with a hands-on final project in which students will perform an end-to-end exploratory data analysis (EDA) using real industry data.

Course 2 - CIS 122: SQL for Data Analytics

This course is designed to introduce students to the basics of SQL. Students will learn to identify the role and structure of relational databases as they apply to data analytics, apply the Structured Query Language (SQL) in MySQL for data manipulation language (DML), apply the Structured Query Language (SQL) in MySQL for data definition language (DDL), and apply normal forms (1NF, 2NF, & 3NF) for database normalization.

Course 3 - CIS 123: Data Visualization with Tableau

This course is designed to introduce students to the fundamentals of using Tableau Desktop in the context of business and data analytics. The course is focused on project-based learning and covers all of the skills identified in the Tableau Desktop Specialist certification as well as roughly 80% of those listed in the Desktop Certified Associate certification. More specifically, students will explore the role and application of data visualization in the data analysis process using Tableau. They will create and design both static and dynamic tables, data visualizations, dashboards, and stories while incorporating visual design best practices to better communicate insights to intended audience, such as business stakeholders. Students  will also connect multiple external data sources (e.g., Text Files, Excel, SQL databases) to Tableau and optimize large data to efficiently wrangle and analyze real-industry data.

Course 4 - CIS 124: Utilizing Statistics for Data Analytics

The course is focused on project-based learning using Google Sheets and Python to apply basic statistical techniques to data.