Business Analytics

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

In this course, students will build on their knowledge of business analytics tools by learning advanced SQL and Tableau skills and predictive modeling. This course is oriented around business case studies to apply this newfound knowledge to real-world scenarios.

In this capstone course, students engage in a hands-on business analytics project, tackling a real-world data problem from start to finish. This immersive experience equips students with the skills needed for their future roles as analysts, with a special focus on honing job interview skills and communicating findings to stakeholders. Students will also learn how to build a portfolio for their job search.

This course will help you find a job in Analytics upon graduation. Not just any job; one that excites you and meets your financial needs. In this course, you will explore career paths in Analytics, the potential salary outcomes you can expect, and the skills you need to understand whether these salary outcomes will support you. This exploration will lead you to identify target jobs and opportunities. You will then plan the steps you need to take to achieve your goals and begin executing on that plan.

In an increasingly data-driven world, everyone should be able to understand the numbers that govern our lives. Whether or not you want to work as a data analyst, being “data literate” will help you in your chosen field. In this course, you’ll learn the core concepts of inference and data analysis by working with real data. By the end of the term, you’ll be able to analyze large datasets and present your results.

This course is intended as a continuation of Foundations of Data Analytics I. In this course, you’ll learn how Data Analytics are applied within the workforce. Particular attention will be paid to the role of the Data Scientist or Analyst, machine learning and the applications of Big Data. By the end of the term, you will be able to design and execute a range of data-driven experiments.