Computer Specialist in Spreadsheet & Database Level 1 study plan
Computer Specialist in Spreadsheet & Database Level 1 · Give each week a clear focus.
8 weeks · About 7 hours per week
Formulas, Functions, and References & Spreadsheet Fundamentals and Interface
Build a reference sheet mapping relative, absolute, and mixed references to what changes when copied across rows versus columns
Construct and debug formulas that mix arithmetic operators, parentheses, and cell references across two worksheets
Configure the application interface deliberately: name box, formula bar, status bar totals, and sheet tab navigation
Diagnose five deliberately broken formulas and write the corrected version plus the cause of each error
Your checkpoint
A one-page reference sheet of reference types and operator precedence plus a 10-formula worksheet where every formula is annotated with its expected result and error risks
Formulas, Functions, and References
Apply core statistical functions (SUM, AVERAGE, COUNT, COUNTA, COUNTBLANK, MIN, MAX, MEDIAN) to a single dataset and verify each against a manual count
Use logical functions (IF, AND, OR, nested IF) to classify records into at least three categories
Implement lookup with VLOOKUP and INDEX/MATCH on the same lookup table and compare behavior on approximate versus exact match
Trace and resolve common error values (#N/A, #VALUE!, #DIV/0!, #REF!, #NAME?) using the Evaluate Formula tool
Your checkpoint
A worked workbook with a data table, a classification column using nested logic, and a lookup comparison sheet documenting when each lookup method fails
Formulas, Functions, and References & Data Entry, Formatting, and Worksheet Management
Write formulas using SUMIF, SUMIFS, COUNTIF, and COUNTIFS with multiple criteria ranges
Apply text functions (LEFT, RIGHT, MID, TRIM, CONCATENATE or TEXTJOIN) to clean and split imported name and code fields
Apply date functions (TODAY, DATE, YEAR, MONTH, DAY, DATEDIF or equivalent) to compute elapsed periods
Format a worksheet for presentation: number formats, custom formats, conditional formatting rules, freeze panes, and print area
Your checkpoint
A cleaned 50-row dataset with conditional totals, standardized text fields, computed date differences, and a print-ready formatted layout
Data Analysis and What-If Tools & Charts, Tables, and Data Visualization
Build a one-variable and a two-variable data table to test outcomes across input ranges
Run Goal Seek to solve for a required input and document the starting values and result
Create column, line, and pie charts from the same dataset and select the correct chart type per question intent
Add and format axis titles, data labels, legends, and a secondary axis on a combo chart
Interpret a trendline and its R-squared value in plain language
Your checkpoint
An analysis workbook containing a solved Goal Seek case, two data tables, and three charts with a written note on which chart type suits which comparison
Database Fundamentals and Relational Concepts & Data Analysis and What-If Tools
Define primary keys, foreign keys, and candidate keys for a three-table scenario and justify each choice
Normalize a flat, unnormalized record set into second and third normal form and list the anomalies removed
Identify one-to-one, one-to-many, and many-to-many relationships and resolve the many-to-many with a junction table
Create a scenario summary or Solver model with stated constraints and interpret the sensitivity result
Your checkpoint
A schema diagram with key annotations plus a before/after normalization write-up listing each anomaly and the table change that removed it
Database Objects, Queries, and SQL
Write SELECT statements with WHERE, ORDER BY, and DISTINCT against a provided table structure
Write queries using INNER JOIN and LEFT JOIN and explain the row-count difference between them
Use aggregate functions with GROUP BY and HAVING and distinguish HAVING from WHERE
Build a parameter query and a calculated field in the database tool, then compare it with the equivalent SQL
Write INSERT, UPDATE, and DELETE statements inside a transaction and roll back to confirm reversibility
Your checkpoint
A query portfolio of at least 12 saved queries with a one-line comment stating purpose and expected row count for each
Database Objects, Queries, and SQL & Data Integration, Import/Export, and Validation
Create tables, define data types, and set validation rules and required fields at the table level
Import a CSV file and fix delimiter, encoding, and data-type mismatch problems without manual re-entry
Export a query result to CSV and to the spreadsheet application, then verify row counts match the source
Apply data validation rules in the spreadsheet (list, whole number, date range, custom formula) and test rejection of bad input
Detect and remove duplicate records using both the database query approach and the spreadsheet deduplication feature
Your checkpoint
An end-to-end pipeline artifact: raw CSV, imported table with validation rules, a cleaned query, and both export files with a row-count reconciliation note
Spreadsheet Fundamentals and Interface & Data Entry, Formatting, and Worksheet Management & Formulas, Functions, and References & Charts, Tables, and Data Visualization & Data Analysis and What-If Tools & Database Fundamentals and Relational Concepts & Database Objects, Queries, and SQL & Data Integration, Import/Export, and Validation
Complete two full-length timed practice sets under exam conditions and log every missed item by domain
Re-drill the three weakest domains until missed items in each fall below one in ten
Recite from memory the reference-type, normalization, and JOIN rules without consulting notes
Review a personal error log and rewrite each corrected rule in your own words
Your checkpoint
A scored practice log with domain-by-domain accuracy percentages, a ranked weak-area list, and a final one-page cheat sheet written from memory
Milestones
Week 2: Can write a nested IF combined with a lookup from a blank sheet in under three minutes with no reference material
Week 4: Can choose the correct chart type and correctly solve a Goal Seek problem for an unseen dataset without hints
Week 5: Can normalize an unfamiliar flat table to third normal form and name every anomaly removed
Week 6: Can write an INNER JOIN with GROUP BY and HAVING correctly on the first attempt and predict the row count before running it
Week 7: Can take a messy CSV to a validated, deduplicated table and export a reconciled result in under 30 minutes
Week 8: Scores at least 80 percent overall on a timed practice set with no domain below 70 percent