Business Analytics I

This course focuses on using the most common business analytics tools in the industry. You’ll build foundational skills in SQL and Tableau to extract, analyze, and visualize data. You’ll also dive into database design, hypothesis testing, and the nuances of big data in the business landscape.

Student smiling while sitting outside, using a laptop.
Syllabus

Course Topics

SQL Basics for Data Retrieval

Introducing the fundamentals of SQL, enabling students to craft queries that retrieve, filter, and aggregate data from relational databases.

Relational Database Design & Normalization

Diving into the principles of creating efficient database schemas, emphasizing the importance and methods of normalization.

Dashboard Creation with Tableau

Exploring Tableau’s capabilities for transforming data into informative and interactive dashboards, tailored for business insights.

Descriptive, Predictive, and Prescriptive Analytics

Equipping students with techniques to perform robust hypothesis testing for prescriptive analysis, ensuring data-driven decisions in business scenarios.

The Big Data Landscape in Business

Navigating the challenges and seizing the opportunities presented by big data, preparing students for the modern business environment.

Integrating SQL & Tableau for Business Solutions

Harnessing the combined strength of SQL and Tableau, guiding students to extract and analyze data efficiently, aiming at resolving complex business problems.

Course Level

300

Skills Covered

  • SQL (Programming Language)
  • Tableau (Business Intelligence Software)
  • Data Visualization
  • Business Intelligence
  • Data Analysis

Common Prerequisites

All courses listed may not be required. Discuss with your advisor to learn more.

  • Foundations of Data Analytics I
  • Foundations of Data Analytics II

Disclosure

This course is delivered online through an institution of the Lower Cost Models Consortium (LCMC) that is different than your degree-granting institution that awards the academic credit for the course.