AASBDA – Business Data Analytics Courses

Data Fundamentals Part 1 is the first in a two-part series that introduces students to the core concepts and practices of data analytics. Through a structured learning approach, students will develop essential skills in data collection, analysis, and interpretation, laying the groundwork for more advanced study.

Data Fundamentals Part 2 is the second in a two-part series, continuing from BDA 101A to further develop students’ understanding of data analytics. In this part, students will refine their analytical skills by tackling more complex data scenarios and applying advanced techniques. The course is designed to solidify your ability to confidently manage and interpret data and enhance your readiness for a professional role in data analysis.

This course provides an initial exploration into the realm of databases. Students are introduced to the fundamentals of relational databases, the various types of databases, and the evolution of databases from file systems. The course uncovers the basics of relational database models, the use of relational database operators, data redundancy, and indexing. By the end of the course, students will have a robust understanding of the basics of database structures, DBMS, and foundational elements of database design. 

This course introduces students to relational databases and Structured Query Language (SQL). The focus of the course will be database design concepts. Students acquire a foundational understanding of databases, how they are structured, and how transactions are performed on the database.

This course provides a comprehensive introduction to the intriguing world of data visualization. The course primarily focuses on the concepts and techniques essential for transforming raw data into insightful visual narratives. Students will gain a foundational understanding of the different types of data, how to choose the most appropriate charts and graphs to represent them, and the tools and techniques used to create these visualizations.

“This course continues from BDA 103A with a comprehensive introduction to the intriguing world of data visualization. The course primarily focuses on the concepts and techniques essential for transforming raw data into insightful visual narratives. Students will gain a foundational understanding of the different types of data, how to choose the most appropriate charts and graphs to represent them, and the tools and techniques used to create these visualizations.

This course provides an introductory exploration of Tableau, one of the leading data visualization tools in the market. Its importance in today’s data-driven world cannot be overstated. As the course progresses, students can expect to acquire valuable skills in data analysis and visualization, developing proficiency in extracting insights and presenting them compellingly and intuitively.

This course is a high-level introduction to Microsoft’s Power BI, a leading tool in business intelligence. Designed to be accessible yet in-depth, the course aims to equip learners with the practical skills needed for data visualization and analytics in a business context. Recognizing data’s crucial role in modern decision-making, the course delves into Power BI’s functionalities that allow for self-service analytics, thereby democratizing data within an organization. By the end of the course, students can expect to be proficient in navigating the Power BI ecosystem, creating compelling visualizations, and implementing advanced interactivity features, all while understanding best practices in business intelligence. This course offers a mix of theoretical knowledge and hands-on exercises, empowering you to turn raw data into actionable insights.

This course introduces students to basic concepts in programming and common baseline computer science topics. The focus of the course will be primarily on Python using the IDLE development environment. Students establish a foundational knowledge base and aptitude required for pursuing more advanced computer science studies. Upon completion of the course, students will be able to understand how to create, modify, and maintain basic Python programs to provide software-based solutions.

This course introduces students to essential programming concepts applied to any programming language. From the previous section of this course, ASD101A students should be already familiar with Python language concepts like data types, variables, program control, and functions. This course will introduce the following topics: exceptions, lists, tuples, dictionaries, string operations, sets, classes, and Object-Oriented Programming. Upon completion of the course, students will be able to understand how to create, modify, and maintain Python programs to provide software-based solutions.

This is the 1st part of a two-part course. Students will learn and prepare for general IT project management and prepare for the CompTIA Project+. Project+ is versatile because it covers essential project management concepts beyond the scope of just one methodology or framework. Lessons will focus on project management of IT projects with a focus on data-building challenges. 

This is the 2nd part of a two-part course. Students will learn and prepare for general IT project management and prepare for the CompTIA Project+. Project+ is versatile because it covers essential project management concepts beyond the scope of just one methodology or framework. Lessons will focus on project management of IT projects with a focus on data-building challenges.