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Microsoft Excel – finance and accounting

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Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

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Faster data cleanup - You will quickly spot blank cells, hardcoded amounts and hidden issues in worksheets, so you can clean up accounting data faster and prepare reliable files for further analysis.

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Less manual work - You will automate repetitive tasks such as numbering registers, building calendars and filling time series, which will shorten the time needed to prepare records and summaries.

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Stronger accounting checks - You will create formulas that verify balancing entries, amount thresholds and missing data, helping you catch issues earlier before month-end closing or an internal review.

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Efficient data matching - You will master lookup functions and data matching across reports, so you can assign accounts, vendors and rates automatically instead of retyping values between sheets.

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Clear reports and insights - You will build tables, charts and pivot tables that let you present cost structure, revenue trends and budget variances in a format that is easy to read and explain.

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Better ERP data handling - You will learn how to split, clean and standardize text exports from ERP systems, so you can turn raw downloads into structured data ready for accounting and reporting work.

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More control over files - You will learn how to protect sheets, lock formula cells and apply data validation rules, reducing the risk of errors and unauthorized changes in important finance workbooks.

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Reports ready to share - You will practice preparing print layouts and PDF exports so financial reports fit the page, keep repeating headers and are ready to send to management or clients.

Training programme

1. The “Go To – Special…” tool in the audit and cleaning of books

  • searching for and managing blank cells: quickly supplementing missing general ledger accounts or contractor names in bulk turnover statements,
  • copying while skipping hidden rows: safely exporting filtered financial data (e.g. only approved business trips) without the risk of copying hidden items,
  • formatting only cells with data (constants or formulas): quickly locating “hardcoded” values in spreadsheets (replacing manually entered amounts with correct formulas).

2. Auto-fill data and time series

  • list automation: creating unique ordinal numbers (No.) for VAT registers and payroll lists,
  • accounting calendars: generating lists of working and calendar days for the purposes of settling working time, business trips or interest.

3. Financial calculations – Formulas, functions and error handling

  • data aggregation (AutoSum): Practical use of the SUM, AVERAGE, MIN, MAX, COUNT functions for quick balance control,
  • verification logic and account reconciliation: Application of the IF, OR, AND functions for automatic control (e.g. „Debit = Credit”, detection of transactions above the cash limit of PLN 15,000),
  • handling missing data: Application of the IFNA and IFERROR functions,
  • cell locking (Absolute references $): Correct use of locking for tax calculations (e.g. fixed CIT/VAT rate) and cost allocation according to an allocation key,
  • nesting functions: Building advanced multi-stage formulas in one cell (e.g. calculating progressive tax or a bonus).

4. Advanced mathematical, statistical and lookup functions

  • lookup functions (VLOOKUP vs XLOOKUP): combining the chart of accounts with the turnover statement, assigning contractor names to NIP numbers, retrieving depreciation rates,
  • conditional aggregation: using SUMIF, SUMIFS, COUNTIF and AVERAGEIF for project reporting,
  • financial precision (ROUND): avoiding penny differences in tax declarations and reports through correct rounding of formula results.

5. Working with dates and time in financial analyses

  • date functions (WORKDAY, WORKDAY.INTL, DATEDIF): calculating invoice payment deadlines, aging of settlements, calculating late payment interest,
  • period segmentation: using DAY, MONTH, YEAR to extract reporting periods from the full posting date,
  • time functions (TIME, HOUR, MINUTE): accounting for employees' working time, overtime, and machine labor costs.

6. Text Processing and Cleaning (Import from ERP Systems)

  • „Text to Columns” tool: splitting merged data from systems such as SAP, Comarch, Symfonia (e.g., separating the invoice number from the contractor name),
  • text functions (LEFT, RIGHT, MID, LEN): extracting fragments of journal entry descriptions, synthetic and analytical account numbers,
  • standardization of entries: unifying letter case (PROPER, LOWER) in company names,
  • Flash Fill: intelligent, automatic cleaning and merging of text data without using formulas.

7. Conditional formatting in audit and internal control

  • highlighting deviations: automatic coloring of amounts exceeding the budget, overdue invoices, or transactions marked as risky,
  • data bars and icon sets: visual presentation of the cost structure and liquidity indicators directly in tables,
  • formula-based conditional formatting: highlighting entire rows (e.g. highlighting in red an entire document that does not balance in the Dr/Cr accounts).

8. Working with the Table object (Official table format)

  • structure automation: converting an ordinary range into a dynamic Excel Table,
  • dynamic formulas: automatic copying of formulas to new rows after importing another accounting month,
  • total row: quick switching between sum, average and counting items for filtered financial data.

9. Data visualization and managerial reporting (Charts)

  • selection of a chart for financial data: presentation of the cost structure (pie/doughnut chart), revenue dynamics (line chart) and budget execution comparisons (column/bar chart),
  • advanced presentation techniques: creating charts with two axes (e.g. bars as revenues on the primary axis, line as % profitability on the secondary axis),
  • charts of progress over time (Sparklines): placing miniature charts inside individual cells to present the expenditure trend of a given department,
  • report aesthetics: working with the corporate color, chart style and quick layout in order to obtain a clear report for the Management Board.

10. Sorting and advanced data filtering

  • multi-level sorting: sorting accounting entries first by account number, and then by descending amount,
  • horizontal sorting: non-standard arrangement of columns (e.g. ordering months in the fiscal year from left to right),
  • advanced filtering: filtering settlements according to complex criteria (e.g. dates from a given quarter AND amounts above the limit). Use of wildcard characters (e.g. *) to filter specific groups of accounts (e.g. 401*).

11. Pivot table as the heart of financial analysis

  • aggregation of mass data: creating turnover and balance summaries from thousands of rows of bank statements,
  • flexible summaries: quickly changing the view from the sum of costs to the number of transactions or the average invoice value,
  • data grouping: automatic collapsing of individual posting dates into months, quarters and years for trend analysis,
  • cost structure: creating summaries by departments (MPK), types of costs and key contractors,
  • error analysis: how to avoid recurring errors when refreshing data and modifying the source of the pivot table.

12. Security, control and validation of accounting data

  • protection of data integrity: securing files with a password against unauthorized access,
  • locking sheets and cells: securing cells with formulas calculating taxes and salaries while allowing data entry in variable cells. Hiding secret formulas,
  • data validity (Data Validation): creating drop-down lists (e.g. a closed selection list of payment methods, project codes or VAT rates),
  • system limitations: introducing rules preventing the entry of a date from a closed accounting period or negative values where only positive numbers are required.

13. Macro Recorder – Automation of routine tasks

  • introduction to automation: how the recorder works and when it is worth using in the accounting department,
  • automation of report cleaning: recording a macro that formats a raw data dump from the ERP system with one click (removing unnecessary columns, setting widths, applying currency format),
  • running macros: assigning the recorded code to a graphic element (e.g. creating your own „Format report” button on the worksheet).

14. Preparation for printing and export of financial reports

  • control over the workspace: defining the print area, fitting large spreadsheets to one page wide (cleaning the view before sending),
  • readability of multi-page statements: printing table headers (e.g. column name, account number) on each subsequent page of the paper printout,
  • professional presentation: setting margins, landscape orientation for wide balance sheets, creating automatic page numbering (e.g. "Page 1 of 5") in the footer,
  • export: safe generation of reports to PDF format without cutting off columns and charts.

What are the prerequisites for participating in the training?

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Basic Excel skills - You should be comfortable moving around a worksheet, selecting ranges, copying data and using basic formatting options, so you can focus on finance-related tasks.

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Working with tabular data - You should know how to work with simple row-and-column datasets and understand table structure, because the training is based on analyzing and organizing data.

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Basic formulas and cell references - You should know how to enter simple formulas and understand cell references, so you can move more easily into conditional functions, lookups and absolute references.

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Financial context awareness - You should understand basic concepts from finance, accounting or controlling, so you can immediately relate the exercises to invoices, accounts, taxes and reports.