The Data Analytics Context We Wish We Had, When We First Started: Concepts, Tools, Roles, Processes, and Terms Explained
InstructorColby Schrauth
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
A horizontal flowchart illustrating a data pipeline from sources to analysis, featuring icons for databases, ETL, and analytics.
A presentation slide illustrating the relational data model with three tables: EMPLOYEE, DEPARTMENT, and BUDGET, connected by dotted lines.
A white slide categorizing data tools into spreadsheets, databases with SQL, and programming languages such as Python, R, and Javascript.
A clean white slide displaying the course title A BEGINNER'S GUIDE TO DATA in large dark text, with a teal subtitle below.
The curriculum covers essential professional roles, tool classifications, and the lifecycle of a data pipeline.
The progression from fundamental principles to role-specific insights helps establish a clear mental model of the data landscape.
The instruction is primarily lecture-based, lacking explicit coding exercises, projects, or interactive assessments.
Some signals suggest the content may be too basic for those with prior experience or specific technical needs.
The content aligns well with the declared target of beginners seeking a high-level introduction to data roles.