Master Tableau for Business Intelligence in 8 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Tableau for Business Intelligence, from foundations to a certified capstone project.
Outline
Getting Started with Tableau : Installing and navigating the Tableau interface, understanding Tableauβs capabilities. β’ Introduction to Data Visualization : Principles of effective data visualization, types of charts and when to use them. β’ Connecting to Data Sources : Importing data from various sources like Excel, CSV, and databases.
Outline
Data Connection and Preparation : Handling data sources, joining, blending, and pivoting data. β’ Data Cleansing Techniques : Filtering, renaming, and working with metadata for clean, usable data. β’ Basic Calculations and Data Aggregation : Applying simple calculations and aggregations, understanding calculated fields.
Outline
Core Chart Types in Tableau : Creating bar charts, line charts, scatter plots, and heat maps. β’ Tables, Cross Tabs, and Text Visuals : Displaying data in tables, using crosstabs for analysis. β’ Enhancing Visuals with Labels and Tooltips : Adding contextual information to visualizations for clarity.
Outline
Advanced Chart Types : Funnel charts, Pareto charts, bullet graphs, and waterfall charts. β’ Geographic Mapping : Creating maps, customizing geographic data, and using maps in BI contexts. β’ Using Parameters and Control Elements : Dynamic filtering, input controls, and parameter-driven visualizations.
Outline
Dashboard Design and Layout : Principles of dashboard layout, adding interactive elements. β’ Dashboard Actions : Using filters, highlight actions, and URL actions for interactivity. β’ Storytelling with Data : Creating a story with Tableau, navigating through steps and enhancing narrative flow.
Outline
Advanced Calculations : Using calculated fields, date functions, and logic statements. β’ Table Calculations and Level of Detail (LOD) Expressions : Applying table calculations, creating LOD expressions for deeper analysis. β’ Trend Lines, Forecasting, and Statistical Analysis : Adding trend lines, forecasting future values, and interpreting statistical summaries.
Outline
Data Optimization Techniques : Managing large datasets, using extracts, and optimizing data connections. β’ Dashboard Performance Optimization : Improving load times and performance with best practices. β’ Publishing and Sharing : Publishing dashboards to Tableau Public and Tableau Server, best practices for sharing.
e-Certificate and e-Marksheet issued on successful completion.