This Business Intelligence Analyst Track from 365 Data Science provides learners with a structured path to understand key concepts and techniques in BI and data analytics. The series begins with foundational topics such as geometrical representation of data, which helps visualize relationships and trends. Next, it introduces the linear regression model, explaining how to predict outcomes and analyze correlations between variables.

The course then explores machine learning techniques, offering a primer on supervised and unsupervised methods relevant to BI tasks. Learners also gain insights into business intelligence techniques, including how to collect, process, and analyze data to support decision-making. The series further introduces the broader context of business analytics, data analytics, and data science, helping learners understand the relationship between these fields and their practical applications in business.

Throughout the series, viewers will develop the analytical mindset needed for BI roles, learn to leverage data for strategic decision-making, and understand the tools and methodologies used by professionals in the industry. By the end of the track, learners are equipped with the knowledge to pursue careers as business intelligence analysts or advance in related data roles.