DATA-VIS-XLS.AD1
Data Analysis and Visualization with Excel
You’re too smart to settle for boring spreadsheets! From PivotTables to sleek dashboards, we’ve got you covered.
- Practice in 33 Laboratorios prácticos — nothing to install
- 11 Lecciones interactivas y 41 topics mapped to the official exam objectives
- 97 Preguntas del examen de práctica
Intermediate A tu propio ritmo · 1 año de acceso 4.5/5 (303 Revisar)
33 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
11Lecciones interactivas
41Topics
33Laboratorio en vivo
97Preguntas del examen de práctica
124Tarjetas didácticas
124Glosario de términos
01 / Habilidades que obtendrás
What you will be able to do
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No se requiere tarjeta de crédito
This Excel data analysis and visualization course is your backstage pass to developing the advanced analytical skills required for career progression. You’ll learn how to build dynamic PivotTables, craft eye-catching charts, and design interactive dashboards that impress. In this advanced course, we’ll walk you through powerful tools like Power Query and Power Pivot to improve your skills and transform raw data into crystal-clear insights.
- Create, modify, sort, and filter tables for Excel skill development
- Design and format charts, graphs, and visual elements to present data effectively
- Learn Excel functions like lookup and logical functions for efficient data analysis
- Create and analyze data with PivotTables and visualize insights with PivotCharts
- Build interactive dashboards with slicers, timelines, and other visualization tools
- Create and customize map charts to analyze geographic data
- Use Excel’s trendlines, sparklines, and Data Analysis ToolPak for statistical insights
- Connect, clear, and transform data from various sources using Power Query
- Develop complex data models and perform advanced data analysis with Power Pivot
- Design professional reports and templates for presenting insights and data findings
Course Highlights
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11 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
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33 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
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97 Preguntas de práctica Pruebas de evaluación con justificaciones de respuesta detalladas
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1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
11 Lecciones interactivas · 41 topics01 Introduction 3 topics +
- Course Description
- How to Use This Course
- Course-Specific Technical Requirements
02 Data Analysis Fundamentals 4 topics · 3 Laboratorio en vivo +
- Topic A: Introduction to Data Science
- Topic B: Create and Modify Tables
- Topic C: Sort and Filter Data
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
03 Visualizing Data with Excel 4 topics · 3 Laboratorio en vivo +
- Topic A: Visualize Data with Charts
- Topic B: Modify and Format Charts
- Topic C: Apply Best Practices in Chart Design
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
04 Analyzing Data with Formulas and Functions 5 topics · 6 Laboratorio en vivo +
- Topic A: Analyze Data with Formulas and Named Ranges
- Topic B: Analyze Data with Functions
- Topic C: Implement Data Validation, Forms, and Controls
- Topic D: Create Conditional Visualizations with Lookup Functions
- Summary
6 Laboratorio en vivo in this lesson — see the labs panel →
05 Analyzing Data with PivotTables 3 topics · 2 Laboratorio en vivo +
- Topic A: Create a PivotTable
- Topic B: Analyze PivotTable Data
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
06 Presenting Visual Insights with Dashboards in Excel 4 topics · 4 Laboratorio en vivo +
- Topic A: Visualize Data with PivotCharts
- Topic B: Filter Data Using Slicers and Timelines
- Topic C: Create a Dashboard in Excel
- Summary
4 Laboratorio en vivo in this lesson — see the labs panel →
07 Creating Geospatial Visualizations with Excel 3 topics · 2 Laboratorio en vivo +
- Topic A: Create Map Charts in Excel
- Topic B: Customize Map Charts in Excel
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
08 Performing Statistical Analysis 3 topics · 4 Laboratorio en vivo +
- Topic A: Visualize Trendlines and Sparklines with Excel
- Topic B: Analyze Data with the Data Analysis ToolPak
- Summary
4 Laboratorio en vivo in this lesson — see the labs panel →
09 Getting and Transforming Data 4 topics · 2 Laboratorio en vivo +
- Topic A: Connect to Data with Queries
- Topic B: Clean and Combine Data
- Topic C: Shape and Transform Data
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
10 Modeling and Analyzing Data with Power Pivot 5 topics · 5 Laboratorio en vivo +
- Topic A: Install Power Pivot in Excel
- Topic B: Create Data Models with Power Pivot
- Topic C: Create Power Pivots
- Topic D: Perform Advanced Data Analysis and Visualization
- Summary
5 Laboratorio en vivo in this lesson — see the labs panel →
11 Presenting Insights with Reports 3 topics · 2 Laboratorio en vivo +
- Topic A: Plan a Report
- Topic B: Create a Report
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
Laboratorios prácticos Our edge
33 Laboratorio en vivos- Analyzing Data
- Creating and Modifying a Table
- Sorting and Filtering Data
- Creating Charts
- Modifying and Formatting Charts
- Applying the Best Practices of Chart Design
- Analyzing Data Using Formulas
- Analyzing Data Using Functions
- Working with Logical Functions
- Implementing Data Validation
- Implementing Form Controls
- Using LOOKUP Functions
- Creating PivotTables
- Analyzing the PivotTable Data
- Visualizing Data with PivotCharts
- Filtering Data Using Slicers
- Filtering Data Using Timelines
- Creating a Dashboard in Excel
- Creating Map Charts in Excel
- Formatting and Customizing Map Charts
- Visualizing Trendlines in Excel
- Visualizing Sparklines in Excel
- Installing and Activating the Data Analysis ToolPak
- Performing Statistical Analysis with the Data Analysis ToolPak
- Connecting to Data with Microsoft Power Query
- Cleaning and Combining Data using the Power Query Editor
- Installing and Activating Power Pivot
- Creating Data Models with Power Pivot
- Creating Power Pivots
- Creating a KPI
- Creating a New Perspective
- Creating a Report in Excel
- Creating a Template of a Report
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
Is Excel good for advanced data analysis?+
Yes! Excel’s advanced tools like Power Query, Power Pivot, and the Data Analysis ToolPak allow users to perform complex data transformations, and statistical analyses, and create sophisticated data models.
What is the difference between Power Query and Power Pivot in Excel?+
Power Query is used to connect, clear, and transform data from different sources, while Power Pivot allows you to create advanced data models and perform complex calculations on large datasets.
How do you analyze data in Excel using PivotTables?+
To analyze data with PivotTables, organize your data, drag and drop fields to summarize, filter, and sort large datasets, making it easier to extract meaningful insights.
What career opportunities are available for Excel data analysts?+
Excel data analysts can pursue careers in fields like business analysis, financial analysis, data science, and marketing analytics. Roles include Data Analysts, Business Intelligence Analysts, and Financial Analysts.
What is the average salary of a data analyst with Excel skills?+
The average salary for a data analyst with advanced Excel skills in the U.S. ranges from $55,000 to $80,000 per year, depending on experience, location, and industry.
Learn Excel Data Science Essentials
Receive data analysis Excel training to stand out in a competitive job market where your analytical skills make a real impact!
- 1 año de acceso completo
- 33 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito