Lesson 1Date parsing and canonicalization: parsing OrderDate into date/time, handling multiple date formats and time zonesLearn to parse raw date and time fields into Qlik dual date values. Manage various source formats, time zones, and local settings while creating standard date fields that enable consistent calendar analysis for Eritrean enterprises.
Using Date#, Timestamp#, and Time#Converting text dates to dual valuesHandling multiple source date formatsManaging time zones and UTC offsetsBuilding canonical OrderDate fieldsLesson 2Connecting to and importing CSV files: file paths, encoding, delimiters, and file wizard optionsConnect to CSV files using data connections and the file wizard. Set up paths, encodings, delimiters, and header choices, and modify LOAD statements to guarantee clean, reliable imports suitable for local data sources.
Creating and testing file connectionsUsing the data load file wizardConfiguring delimiters and quotesHandling headers and first data rowManaging encoding and locale issuesLesson 3Documenting the load script: how to write clear comments to explain each main part as required by the project statementLearn to document Qlik load scripts with useful comments, headers, and section markers so future developers and auditors can easily grasp logic, data sources, and essential business rules in the ETL process for Eritrean projects.
Comment styles: single line and blockHeader blocks for script and major sectionsExplaining business rules in commentsTagging assumptions, TODOs, and risksLesson 4Understanding Qlik Sense and QlikView load script structure and execution orderUnderstand how Qlik processes script statements, from connection setup to final STORE or EXIT. Learn script sections, execution sequence, basic error handling, and how this affects data model outcomes and performance in regional applications.
Main, tabbed sections, and includesTop‑down execution and dependenciesControl statements: IF, FOR, DO WHILEError handling and script logsImpact of order on joins and fieldsLesson 5Creating derived fields in script: Year, Month, Quarter from OrderDate with Qlik date functionsCreate derived calendar fields like Year, Month, and Quarter from OrderDate using Qlik date functions. Enable flexible time analysis by producing extra flags and keys for fiscal and calendar perspectives in Eritrean business reporting.
Extracting Year, Month, and DayBuilding Quarter and MonthNameUsing YearStart and MonthStartFiscal vs calendar date derivationsCreating date keys for link tablesLesson 6Text cleansing in script: TRIM, UPPER/LOWER, Replace, Null handling and standardizing ProductCategory/ProductSubCategoryClean and standardise text fields in the script using TRIM, case functions, Replace, and null handling. Ensure ProductCategory and ProductSubCategory values are uniform for grouping and linking in local data environments.
Removing spaces with TRIM and PURGECHARUPPER, LOWER, and PROPER case usageReplacing bad or legacy text valuesHandling null and empty string casesStandardizing product category labelsLesson 7Testing and iterating script changes: reload preview, incremental reload basics, and validating row counts and checksum checksDevelop a secure workflow for modifying scripts, including partial reload, basic incremental reload, and validation checks. Compare row counts and checksums to verify that changes have not damaged data integrity.
Using limited load for quick testsBasics of incremental reload logicValidating row counts by tableChecksum and hash‑based comparisonsRolling back and versioning scriptsLesson 8Field discovery and profiling during load: methods to inspect distinct values, nulls, and data typesLearn methods to profile fields during load, examining unique values, null rates, and inferred data types. Use temporary tables, RESIDENT loads, and system functions to check data quality early in Eritrean datasets.
Counting distinct values per fieldDetecting nulls and empty stringsChecking inferred data typesSampling data with temporary tablesUsing script logs for profilingLesson 9Numeric cleansing and calculations in script: SalesAfterDiscount, ProfitMargin with division-by-zero guards and roundingMaster numeric cleaning and calculations in script, including safe arithmetic, rounding, and protection against division by zero. Implement measures like SalesAfterDiscount and ProfitMargin that work reliably in applications.
Cleaning numeric fields and coercionHandling nulls and nonnumeric valuesDivision‑by‑zero guards in formulasRounding and formatting measuresBuilding SalesAfterDiscount metricLesson 10Using comments, sectioning, and best practices in the script for readability and maintainabilityApply best practices for script readability and upkeep using comments, logical sectioning, naming standards, and modular includes so teams can extend and fix complex ETL logic safely in collaborative settings.
Organizing tabs and logical sectionsConsistent field and table namingUsing include files for modularitySeparating staging and model layersRefactoring duplicated script logicLesson 11Basic script commands: LOAD, SELECT, INLINE, RESIDENT, DROP, RENAME and their common use casesExplore core Qlik script commands for loading and transforming data. Understand when to use LOAD, SELECT, INLINE, RESIDENT, DROP, and RENAME, and how they form efficient, maintainable ETL pipelines for local use.
LOAD vs SELECT: when and whyUsing INLINE for small reference tablesRESIDENT loads for transformationsDROP and RENAME to tidy data modelPreceding LOAD patterns and benefitsLesson 12Handling missing, negative, and outlier values in script: conditional expressions, NULLVALUE, and simple imputation strategiesHandle missing, negative, and outlier values with conditional expressions and NULLVALUE settings. Implement basic imputation and capping strategies that maintain data integrity while preventing misleading metrics.
Configuring NULLVALUE and NullInterpretIF and Alt for conditional handlingTreating negative quantities and pricesSimple mean and median imputationsCapping extreme outliers in metrics
