Analyze Data to Answer Questions Course Syllabus

Overview: This course provides a beginner-friendly introduction to essential data analysis techniques using spreadsheets and SQL. Learners will gain hands-on experience organizing, formatting, aggregating, and calculating data to answer real-world questions. With a total time commitment of approximately 26 hours, the course is designed for self-paced learning and includes practical skills applicable across industries.

Module 1: Organize Data for More Effective Analysis

Estimated time: 5 hours

• Understand the importance of data organization
• Sort data in spreadsheets
• Apply filters to refine data views
• Use sorting and filtering techniques in SQL

Module 2: Format and Adjust Data

Estimated time: 4 hours

• Convert data types for analysis
• Format data to improve readability and usability
• Combine data fields using spreadsheet functions
• Prepare data for SQL querying

Module 3: Aggregate Data for Analysis

Estimated time: 8 hours

• Understand the purpose of data aggregation
• Use SQL functions to combine data from multiple tables
• Apply GROUP BY and JOIN clauses in SQL queries
• Summarize data for analytical insights

Module 4: Perform Data Calculations

Estimated time: 9 hours

• Use spreadsheet formulas for basic calculations
• Apply built-in functions for statistical operations
• Create and interpret pivot tables in spreadsheets
• Write SQL queries to perform calculations on datasets

Module 5: Final Project

Estimated time: 5 hours

• Organize and clean a real-world dataset using spreadsheets
• Write SQL queries to aggregate and analyze data
• Present findings based on data-driven insights

Prerequisites

• Basic computer literacy
• No prior experience with data analysis required
• Access to a web browser and internet connection

What You'll Be Able to Do After

• Organize data effectively using sorts and filters in spreadsheets and SQL
• Convert and format data for accurate analysis
• Write SQL queries to combine data from multiple tables
• Perform basic calculations using spreadsheet functions and pivot tables
• Apply data analysis techniques to answer practical business questions