The Data Visualization Course: Excel, Tableau, Python, R

Tell a story with your data using Excel PivotTable, Power BI, Alteryx, Tableau, and Qlik Sense in this 10-course bundle!

Created by: Simon Sez IT
990,000+ Students, 290+ Courses, Learners in 180+ Countries

What Will I Learn?

• How to create PivotTables
• Using the fields pane and adding fields and calculated fields
• Formatting numbers in PivotTable
• Different ways to summarize data
• Creating PivotCharts and adding sparklines and slicers
• Combining data from multiple worksheets for a PivotTable
• How to create stunning, interactive dashboards with Power BI
• How to share your analysis and dashboards using Power BI Online
• Importing Excel, Text, and CSV files into Power BI Desktop and combining files
• Data Modelling, relationship types, and troubleshooting relationship issues
• Creating a Shared Workspace in Power BI Service
• Creating reports and dashboards, pinning visualizations to the dashboard, and setting up scheduled refreshes
• How to import and transform data in Power Query
• Advanced Tableau charts—circular, sunburst, bump, funnel, candlestick, and Sankey charts
• Connect and manage data sources in Tableau
• Create a dashboard in Tableau and animate your visualizations
• Use calculated fields and spatial functions in Tableau
• Level of Detail (LOD) expressions
• Advanced filters and table calculations in Tableau
• Using Alteryx workflows to cut out repetitive tasks
• Data cleansing, manipulation, binning, and grouping in Alteryx
• Take your apps and macros to the next level in Alteryx
• Using multiple files and Calgary in Alteryx
• All about Machine Learning and the Alteryx Intelligence Suite
• How to become a Qlik Sense designer
• All about the different charts and graphs available in Qlik Sense
• How to use the Qlik Sense Geo Analytics tools (maps)

Requirements

• Access to the relevant software/application is beneficial (Excel, Power BI, Tableau Desktop, Alteryx, and Qlik Sense)
• Basic to intermediate knowledge of Microsoft Excel is needed
• An understanding of data analytics is beneficial

Target audience

• Data Analysts and Data Scientists
• Anyone looking to turn raw data into meaningful business visualizations
• People looking to perform Data Analysis using Excel
• People who are brand-new to PivotTables, Power BI, Tableau, Alteryx, or Qlik Sense
• Users who have a foundation in PivotTables, Power BI, Tableau, Alteryx, or Qlik Sense and are seeking to advance their skills
• Business Intelligence Analysts