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Course Details
Course Details
What You'll Learn
Topic 1: Connect to and Transform Data
- Connect to Data Sources
- Choose an appropriate data source
- Choose between live connection or extract
- Connect to extracts
- Connect to spreadsheets
- Connect to .hyper files (or .tde files)
- Connect to relational databases
- Pull data from relational databases by using custom SQL queries
- Connect to a data source on Tableau Server
- Replace the connected data source with another data source for an existing chart or sheet
- Prepare data for analysis
- Assess data quality (completeness, consistency, accuracy)
- Perform cleaning operations
- Organize data into folders
- Use multiple data sources (establish relationships, create joins, union tables, blend data)
- Prepare data by using Data Interpreter, pivot, and split
- Create extract filters
- Perform data transformation in Tableau Prep
- Choose which data transformation to perform based on a business scenario
- Combine data by using unions
- Combine data by using joins
- Shape data by using aggregations
- Perform filtering
- Shape data by using pivots
- Customize fields
- Change default field properties (types, sorting, etc.)
- Rename columns
- Choose when to convert between discrete and continuous
- Choose when to convert between dimension and measure
- Create aliases
Topic 3: Explore and Analyze Data
- Create calculated fields
- Write date calculations (DATEPARSE, DATENAME…)
- Write string functions
- Write logical and Boolean expressions (If, case, nested, etc.)
- Write number functions
- Write type conversion functions
- Write aggregate functions
- Write FIXED LOD calculations
- Create quick table calculations
- Moving average
- Percent of total
- Running total
- Difference and percent of difference
- Percentile
- Compound growth rate
- Create custom table calculations
- Year to date
- Month to date
- Year over year
- Index
- Ranking
- First-last
- Create and use filters
- Apply filters to dimensions and measures
- Configure filter settings including Top N, Bottom N, include, exclude, wildcard, and conditional
- Add filters to context
- Apply filters to multiple sheets and data sources
- Create parameters to enable interactivity
- In calculations
- With filters
- With reference lines
- Structure the data
- Sets
- Bins
- Hierarchies
- Groups
- Map data geographically
- Create symbol maps
- Create heat maps
- Create density maps
- Create choropleth maps (filled maps)
- Summarize, model, and customize data by using the Analytics feature
- Totals and subtotals
- Reference lines
- Reference bands
- Average lines
- Trend lines
- Distribution bands
- Forecast by using default settings
- Customize a data forecasting model
- Create a predictive model
Topic 3: Create Content
- Create charts
- Create basic charts from scratch (bar, line, pie, highlight table, scatter plot, histogram, tree map, bubbles, data tables, Gantt, box plots, area, dual axis, combo)
- Sort data (including custom sort)
- Create dashboards and stories
- Combine sheets into a dashboard by using containers and layout options
- Add objects
- Create stories
- Add interactivity to dashboards
- Apply a filter to a view
- Add filter, URL, and highlight actions
- Swap sheets by using parameters or sheet selector
- Add navigation buttons
- Implement user guiding sentences (click…, hover…, menu options)
- Format dashboards
- Apply color, font, shapes, styling
- Add custom shapes and color palettes
- Add annotations
- Add tooltips
- Apply padding
- Remove gridlines, row-level and column-level bands, and shading
- Apply responsive design for specific device layouts
Topic 4: Publish and Manage Content on Tableau Server and Tableau Cloud
- Publish Content
- Publish a workbook
- Publish a data source
- Print content
- Export content
- Schedule data updates
- Schedule data extract refreshes
- Schedule a Tableau Prep workflow
- Manage Published workbooks
- Create alerts
- Create subscriptions
- Create user-specific views
- Troubleshoot user permissions
- Customize and distribute a published workbook
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- Data Analyst
- Business Intelligence Analyst
- Data Visualization Specialist
- Tableau Developer
- Reporting Analyst
- Analytics Consultant
- Data Scientist
- Information Analyst
- Data Management Specialist
- Business Analyst
- Decision Support Analyst
- Data Quality Analyst
- Data Governance Specialist
- Database Analyst
- Data Architect
- ETL Developer
- Data Operations Analyst
- Data Strategy Analyst
- Data Compliance Analyst
- Data Security Analyst
Trainers
Trainers
Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.