Business Analytics II
This course is intended as a continuation of Business Analytics I. You’ll build on your 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.
Course Topics
Advanced SQL Querying Techniques
Diving deeper into SQL, enabling students to perform complex operations and queries that tap the full potential of relational databases.
Database Design and Optimization
Mastering the intricacies of designing databases to ensure both efficient querying capabilities and the preservation of data integrity.
Tableau Advanced Visualization Techniques
Exploring the more sophisticated features of Tableau, guiding students to craft detailed and more insightful data visualizations.
Big Data Infrastructure & Business Implications
Examining the underlying infrastructure that supports big data, and understanding its broad-reaching effects on business analytics.
Introduction to Predictive Analytics with Machine Learning
Laying the groundwork for students to harness basic machine learning techniques, aiming at generating predictive insights from vast datasets.
Deep Dive into Hypothesis Testing
Taking a comprehensive look at hypothesis testing, focusing on its nuances and the broader implications for informed business decision-making.
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.
