Technical overview spanning spreadsheets, SQL, and Python
Strengths
Broad tool coverage
The curriculum covers a wide range of essential tools including Excel, SQL, Python with Pandas, and an introduction to Power BI and Tableau.
Clear conceptual starting point
Instruction begins with the fundamental roles and responsibilities of a data analyst, providing a structured path from zero knowledge.
Limitations
Limited practical application
Instruction lacks live examples for SQL and provides insufficient hands-on practice with business intelligence platforms.
Heavy reliance on text-based instruction
The instructional style relies heavily on text-filled slides rather than visual or practical demonstrations.
Best suited to
- Beginners seeking a broad overview of data analyst roles
- Learners wanting to establish basic conceptual foundations
Less suited to
- Learners requiring intensive, project-led practical training
- Those looking for deep technical mastery through live coding examples









