This Google Sheets and Data Studio Data Analysis course is designed to teach learners how to analyze, clean, and visualize data using cloud-based tools. It focuses on practical skills used in reporting, business intelligence, and data-driven decision-making.
The course begins with Google Sheets fundamentals for data analysis, including data cleaning techniques using functions like TRIM, UNIQUE, VLOOKUP, and ISBLANK. Learners also explore logical functions such as IF and IFS, which are essential for building dynamic spreadsheets.
A major section focuses on pivot tables in Google Sheets, including grouping data by time periods (year, month) and using aggregation functions such as SUM, AVERAGE, COUNT, and MEDIAN. Advanced pivot table techniques such as calculated fields and percentage analysis are also covered.
The course also introduces Google Sheets QUERY function, which allows SQL-like operations for filtering, grouping, and analyzing datasets efficiently. Learners practice handling date ranges, aggregates, and structured queries.
In addition, learners build charts, graphs, and interactive dashboards using Google Data Studio (Looker Studio). This includes scorecards, geo maps, filters, and visual reporting techniques.
By completing this course, learners gain strong skills in spreadsheet analytics, data visualization, and reporting dashboards, making it ideal for business intelligence and data analyst roles.
