Duration
2 days
Who should attend
- You should take tableau to do exploratory analysis and visualizations to get insights form your data
- You should take this course if want to learn Tableau completely from scratch
- You should take this course if you know some Tableau skills but want to get better
- You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau
What you will learn
- Create worksheets, dashboards and story
- Understand the difference between Groups and Sets
- Create and use Static Sets
- Create and use Dynamic Sets
- Combine Sets into more Sets
- Use Sets as filters
- Create Sets via Formulas
- Control Sets with Parameters
- Control Reference Lines with Parameters
- Use multiple fields in the colour property
- Create highly interactive Dashboards
- Develop an intrinsic understanding of how table calculations work
- Use Quick Table calculations
- Write your own Table calculations
- Combine multiple layers of Table Calculations
- Use Table Calculations as filters
- Use trendlines to interrogate data
- Implement Mapping Techniques
- Understand Level Of Details
Course Outline
- 1. Data Story telling Introduction
- What is the life cycle of a data analysis project
- What is Data Analytics
- Why need data story telling
- Story telling examples
- Detecting business problems
- Identifying Project objectives using SMART methodology
- Designing a data analytics project using SPAP model
- How to generate real Actionable Insights in data analysis projects
- Six types of questions in data analysis projects
- 2. Tableau Prep – Data the way we want
- Tableau Prep data preparations
- Tableau Prep Steps
- Input, Cleaning, Group
- Profile, Pivot, Aggregate, Join
- Union and Output
- Tableau Prep Conductor
- 3. Tableau Overview
- What is Tableau?
- Tableau Software
- Tableau File Types
- Explore Tableau Interface
- 4. Worksheet and View
- Worksheet Basics
- Dimension and Measure
- Continuous and Discrete Data
- Create Folder & Hierarchy
- View Basics
- Different Plots
- Saving Workbook
- 5. Dashboard and Story
- Dashboard Basics
- Actions
- Story Basics
- 6. Connecting to Data Sources
- Data Sources
- Data Extract
- Data Source Filter
- Data Join
- Data Blending
- 7. Transform Data
- Data Interpreter
- Split & Merge Fields
- Pivot Data
- Filter Data
- Organize Data by Group & Set
- 8. Calculation
- Create Calculated Field
- Shelf Calculation
- Table Calculation
- Logical Functions
- 9. Parameter
- Filter By Parameter
- Top N Analysis
- Add Calculation to Parameter
- Reference Line
- Dynamic View
- 10. Analytics
- Average Line
- Trend Line
- Forecast
- Clustering
- 11. Map
- Map Basics
- Map Services
- Integrating Mapbox Styles to Map
Programme scope, delivery arrangements and suitability are confirmed during enquiry.