Data Analyst Foundation

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111 anmeld.

Beginner

Kickstart din rejse med Excel ved at forstå dets grænseflade, grundlæggende funktioner og essentielle dataindtastningsteknikker. Lær hvordan du navigerer i værktøjslinjer, regneark og mestrer de grundlæggende elementer for at skabe et solidt fundament.

Dyk dybere ned i Excel ved at udforske avancerede dataindtastnings- og formateringsmuligheder. Skærp dine færdigheder i tekst- og talformatering, opdag hvordan du effektivt bruger stilarter, og forbedr regnearkets læsbarhed og funktionalitet.

Frigør kraften i Excel med en introduktion til grundlæggende formler og funktioner. Få selvtillid i at oprette beregninger, bruge cellereferencer og anvende nøglefunktioner som SUM, AVERAGE, MIN og MAX til at automatisere og forenkle dine dataanalysetasks.

I denne sektion vil du mestre avancerede Excel-formler og funktioner, hvilket forbedrer din evne til at håndtere komplekse beregninger. Lær at vise og revidere formler, anvende indlejrede og logiske udsagn og anvende betingelser effektivt for at optimere dine dataanalysetasks.

Udforsk omfattende teknikker til sortering, filtrering, og effektiv datahåndtering. Denne sektion dækker alt fra grundlæggende dataorganisation til avanceret filtrering og tabelhåndtering, hvilket sikrer, at du kan håndtere og analysere data effektivt.

Dyk ned i kunsten at visualisere data ved hjælp af Excels kraftfulde diagramværktøjer. Du vil lære at oprette forskellige typer diagrammer, tilpasse dem for at forbedre den visuelle appel og manipulere data inden for diagrammer for at præsentere klare og overbevisende visuelle historier.

Opnå færdigheder i at håndtere regneark og projektmapper i Excel. Denne sektion lærer dig, hvordan du effektivt organiserer og manipulerer projektmappeelementer, bruger formateringsværktøjer og sikrer dit arbejde med adgangskoder, hvilket giver en grundig forståelse af projektmappeoperationer.

In this section, we will learn how to use the SQL SELECT statement to get a single table column, multiple table columns, and all table columns. We will also find out how to return unique values.

In this section, we’ll explore how to organize and prioritize the data returned by a query using the ORDER BY clause. Placed at the end of a SELECT statement, this clause lets you sort your results by one or multiple columns, either in ascending or descending order, enabling more meaningful and easily interpretable data output.

In this section, we will learn how to filter returned data using the SELECT statement's WHERE clause. We will learn how to test for equality, inequality, more and less significant than value ranges, and NULL values.

In this section, we’ll explore how to refine your search conditions by combining WHERE clauses with the AND and OR operators. We’ll also cover how the NOT operator can be used to exclude certain results.

In this section, we will learn what the SQL aggregate functions are and how to use them to summarize table data.

In this section, you will learn how to group and manage data effectively. We will introduce the GROUP BY operator for grouping data. Additionally, you will learn how to filter grouped data using the HAVING operator.

You will learn about nested subqueries, how to create them, and how to use them effectively.

Here, you will learn how to combine multiple tables, allowing you to work with a unified table and simplify query creation.

Learn the fundamentals of Data Definition Language (DDL) and Data Manipulation Language (DML) in SQL, including how to create, modify, and delete database objects, as well as how to insert, update, and delete data within tables.

Dive into the world of Power BI and build a solid foundation. You'll cover everything from installation and setup to connecting data sources and creating your first report.

Explore essential data preparation techniques, including cleaning, transforming, and combining multiple data sources. You'll also tackle handling missing values, data profiling, and various data manipulation methods.

Master the fundamentals of data modeling, from understanding data models and creating relationships to getting the hang of DAX basics. You'll also learn to create measures and calculated columns.

Discover various visualization techniques and customize visuals for better insights. You'll also explore advanced features like slicers, filters, and drill-down/drill-through capabilities to enhance your data analysis.

Boost the usability and storytelling power of your reports by using themes, configuring report pages, and leveraging advanced features like the Analyze feature and identifying outliers. You'll also create groups, bins, and clusters for deeper insights.