VCE Applied Computing - U1O1 - Data analysis

VCE Applied Computing Unit 1 Outcome 1, Data analysis: spreadsheet formulas and functions, descriptive statistics, cleaning and validating spreadsheet data, relational database design and SQL queries, charts and graphs, and data visualisation purposes, types and design conventions.

Modules (86)

1 Spreadsheet rows, columns and cells 2 Cell references like A1 3 Entering data into cells 4 Naming worksheets consistently 5 Header labels for rows and columns 6 Formulas start with = 7 Arithmetic operators + - * / 8 Copying a formula down a column 9 Relative and absolute cell references 10 The SUM function 11 The AVERAGE function 12 The MIN and MAX functions 13 The COUNT function 14 The COUNTIF function 15 The SUMIF function 16 The IF function in a spreadsheet 17 Looking up values with XLOOKUP or VLOOKUP 18 The MEDIAN function 19 Comparing mean and median 20 Building a frequency table with COUNTIF 21 Grouping numbers into bins with COUNTIFS 22 The STDEV.S function 23 Interpreting standard deviation 24 Finding patterns, trends and outliers 25 Sorting data 26 Filtering data 27 Cleaning data 28 Cleaning text with TRIM, UPPER and PROPER 29 What data validation is and why it matters 30 Number range validation in a spreadsheet 31 Drop-down list validation in a spreadsheet 32 Validation messages and error alerts 33 Testing a formula against a hand-calculated answer 34 Conditional formatting 35 Pivot tables 36 What is a relational database? 37 What a single-table database is 38 Database field data types 39 Primary key 40 Foreign key and table relationships 41 Naming a database and its tables 42 Naming columns, primary keys and foreign keys 43 Designing a table structure 44 CREATE TABLE and INSERT INTO 45 Importing a CSV file into a database table 46 Validation rules on database fields 47 SQL constraints for validation 48 What a database query is 49 SQL SELECT and FROM 50 SQL WHERE conditions 51 Combining query criteria with AND and OR 52 Matching part of a text value with wildcards 53 SQL ORDER BY 54 SQL aggregate functions: COUNT, SUM, AVG, MIN, MAX 55 SQL GROUP BY 56 SQL JOIN across two tables 57 SQL UPDATE and DELETE 58 Testing a query against the data 59 Choosing the right chart 60 Column and bar charts 61 Line charts 62 Pie charts 63 Scatter graphs 64 Histograms 65 Chart titles, axis labels and legends 66 Adding a trendline to a chart 67 Correlation is not causation 68 Spotting misleading charts 69 Drawing conclusions from data 70 Purpose of a data visualisation: educating 71 Purpose of a data visualisation: informing 72 Purpose of a data visualisation: entertaining 73 Purpose of a data visualisation: persuading 74 Matching a visualisation to its purpose and audience 75 Long-form infographic 76 Series of infographic posters 77 Dashboards 78 Slicers and interactive filters 79 Visualisation component: text and graphics 80 Visualisation component: tables 81 Visualisation component: charts and graphs 82 Using colour in a visualisation 83 Readable text and colour choices 84 Choosing fonts for a visualisation 85 Using images and icons in a visualisation 86 Consistent layout and style across a visualisation

Smaller journeys, one per content description

The same modules, split up so a class can take just the content description it's working on.

VCE Applied Computing U1O1: Spreadsheet structure, formulas and functions Students learn how spreadsheets are structured and named, then build formulas and use common functions to calculate, count, test and look up data.

VCE Applied Computing U1O1: Descriptive statistics Students use spreadsheets to calculate and interpret median, frequency, bins and standard deviation and to spot patterns, trends and outliers.

VCE Applied Computing U1O1: Manipulating, validating and testing spreadsheet data Students sort, filter, clean and validate spreadsheet data, test formulas against hand-calculated answers, and summarise data with conditional formatting and pivot tables.

VCE Applied Computing U1O1: Relational database structure Students learn how relational databases use tables, fields, primary and foreign keys and consistent naming conventions, and how to design, create and validate them.

VCE Applied Computing U1O1: Querying data with SQL Students write and test SQL queries to select, filter, sort, group, join and update data.

VCE Applied Computing U1O1: Charts, graphs and drawing conclusions Students choose, build and label charts and graphs, spot misleading designs, and draw sound conclusions from data.

VCE Applied Computing U1O1: Purposes and types of data visualisations Students explore why data visualisations are made (educate, inform, entertain, persuade) and compare long-form infographics, poster series and dashboards.

VCE Applied Computing U1O1: Visualisation components and design conventions Students learn the components of a data visualisation and apply conventions for colour, fonts, images, icons and consistent style.

Printables for this journey

Every module above has its own free printable worksheet with an answer key. These crosswords and word searches cover the same terms:

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Years 5–6 Data & Information Crossword: Data, information and binary representation and Acquiring and manipulating data (Modules 11–20) 10 clues · Representing images with pixels, Primary and secondary data sources, Collecting data with a survey, Spreadsheet rows, columns and cells and more

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Years 5–6 Data & Information Crossword: Acquiring and manipulating data and Analysing and visualising data (Modules 21–30) 10 clues · Cleaning data, Formulas start with =, Arithmetic operators + - * /, The SUM function and more

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Years 5–6 Data & Information Crossword: Analysing and visualising data and Digital footprint and privacy (Modules 31–56) 10 clues · Choosing the right chart, Column and bar charts, Line charts, Pie charts and more

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Years 5–6 Data & Information Word Search: Data, information and binary representation and Acquiring and manipulating data (Modules 1–20) 20 words to find · Data and information, Types of data: numbers and text, Types of data: images, sound and video, Same data, different representations and more

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Years 5–6 Data & Information Word Search: Acquiring and manipulating data to Digital footprint and privacy (Modules 21–56) 20 words to find · Cleaning data, Formulas start with =, Arithmetic operators + - * /, The SUM function and more

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Years 5–6 Creating Digital Solutions Crossword: Designing user interfaces (Modules 31–40) 10 clues · Interface element: buttons, Interface elements: text boxes and labels, Interface elements: menus, sliders and checkboxes, Layout and grouping on a screen and more

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Years 5–6 Creating Digital Solutions Word Search: Designing algorithms with branching and iteration and Designing user interfaces (Modules 21–40) 20 words to find · Branching inside a loop, Algorithms that use sequence, branching and iteration together, Drawing a sequence in a flowchart, Drawing a decision in a flowchart and more

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Crossword: Spreadsheet structure, formulas and functions and Descriptive statistics (Modules 4–20) 10 clues · Naming worksheets consistently, Header labels for rows and columns, Relative and absolute cell references, The COUNTIF function and more

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Crossword: Descriptive statistics and Manipulating, validating and testing spreadsheet data (Modules 21–34) 10 clues · Grouping numbers into bins with COUNTIFS, The STDEV.S function, Interpreting standard deviation, Cleaning text with TRIM, UPPER and PROPER and more

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Crossword: Manipulating, validating and testing spreadsheet data and Relational database structure (Modules 35–44) 10 clues · Pivot tables, What is a relational database?, What a single-table database is, Database field data types and more

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Crossword: Relational database structure and Querying data with SQL (Modules 45–54) 10 clues · Importing a CSV file into a database table, Validation rules on database fields, SQL constraints for validation, What a database query is and more

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Crossword: Querying data with SQL to Purposes and types of data visualisations (Modules 55–70) 10 clues · SQL GROUP BY, SQL JOIN across two tables, SQL UPDATE and DELETE, Testing a query against the data and more

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Crossword: Purposes and types of data visualisations and Visualisation components and design conventions (Modules 71–86) 10 clues · Purpose of a data visualisation: informing, Purpose of a data visualisation: entertaining, Purpose of a data visualisation: persuading, Matching a visualisation to its purpose and audience and more

🔎

Word Search: Spreadsheet structure, formulas and functions to Manipulating, validating and testing spreadsheet data (Modules 4–34) 20 words to find · Naming worksheets consistently, Header labels for rows and columns, Relative and absolute cell references, The COUNTIF function and more

🔎

Word Search: Manipulating, validating and testing spreadsheet data to Querying data with SQL (Modules 35–54) 20 words to find · Pivot tables, What is a relational database?, What a single-table database is, Database field data types and more

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Word Search: Querying data with SQL to Visualisation components and design conventions (Modules 55–86) 20 words to find · SQL GROUP BY, SQL JOIN across two tables, SQL UPDATE and DELETE, Testing a query against the data and more

Frequently Asked Questions

Are these worksheets free?

Yes — every worksheet and its answer key is free to view, download, and print, with no account required to access any individual module.

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No account is needed to view or print a worksheet. A free teacher account adds extras like assigning modules to a class and tracking progress automatically — it takes under three minutes to set up and doesn't need a credit card.

What year level is this for?

This curriculum is aligned to the Australian Curriculum (ACARA) and Victorian Curriculum, spanning roughly Years 3 to 10 — from first sequencing and variables through to object-oriented programming and advanced data structures. Start wherever matches your class's current level; each module builds on the last.

Can I print them?

Yes — every module has a one-click Print Worksheet button that generates a printable page with the practice questions and a full answer key.

Is this aligned to a curriculum?

Yes — the module sequence is mapped to the Australian Curriculum (ACARA) and Victorian Curriculum, and a class's progress is reported back against those curriculum bands (e.g. ACARA Years 5–6 sequencing and iteration, Years 7–8 functions and data structures), not just a generic difficulty scale.

Can students use this without a teacher?

Yes — students can start any module and practice directly, no class or account required. Joining a teacher's class with a class code adds progress tracking, class badges, and live Sprints, but isn't needed to work through the worksheets or modules solo.

Do I need to know VCE Spreadsheets, SQL & Visualisation myself to teach this?

No — every module comes with a full worked answer key, and Cloodit tracks who's stuck automatically, so you don't need to solve each exercise yourself before assigning it or be able to debug a student's work line by line.

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