Tableau Certified Desktop Specialist Training

Multiday, 04/10/2025 - 16/10/2025

Venue

Tertiary Courses Malaysia G-3A-02, Corporate Office Suite, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur

Entrance Fee

MYR3,000.00

Category

Business & Professional

Event Type

Class, Course, Training or Workshop

Share

Schedule

DateTime
04/10/20259:30 AM - 5:30 PM
05/10/20259:30 AM - 5:30 PM
15/10/20259:30 AM - 5:30 PM
16/10/20259:30 AM - 5:30 PM
Tableau Certified Desktop Specialist Training

The Tableau Desktop Specialist Exam Prep course empowers participants to confidently navigate Tableau's powerful data connection, analysis, and sharing capabilities. This comprehensive training covers essential skills, from creating and managing live connections and extracts to effectively preparing and connecting data from multiple sources. Master key data preparation techniques, including data modeling, joins, and relationships, and learn to optimize data fields and manage properties for effective analysis.

Building on these foundations, the course guides you through creating impactful data visualizations, including bar charts, scatterplots, density maps, and advanced visual analytics. Participants also learn to develop interactive dashboards and configure visualizations for a polished, professional presentation. Gain expertise in sharing insights across platforms and formats, from workbooks to PowerPoint exports, while thoroughly preparing for Tableau's certification. Take the next step in advancing your data skills with this targeted,

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M274

lationships to a data source

  • Add joins and unions

  • Explain when to use a join versus a relationship

  • 1.3 Manage data properties

  • Rename a data field

  • Assign an alias to a data value

  • Assign a geographic role to a data field

  • Change data type for a data field (number, date, string, Boolean, etc.)

  • Change default properties for a data field (number format, aggregation, color, date format, etc.)

Topic 2: Exploring and Analyzing Data

  • Create basic charts

    • Create a bar chart

    • Create a line chart

    • Create a scatterplot

    • Create a map using geographic data

    • Create a combined axis chart

    • Create a dual axis chart

    • Create a stacked bar

    • Create a density map

    • Create a chart to show specific values (crosstab, highlight table)

  • Organize data and apply filters

    • Create groups by using marks, headers, and the data pane

    • Create sets by using marks and the data pane

    • Organize dimensions into a hierarchy

    • Add a filter to a view

    • Add a date filter

  • Apply analytics to a worksheet

    • Add a manual or a computed sort

    • Add a reference line

    • Use a quick table calculation

    • Use bins and histograms

    • Create a calculated field (e.g. string, date, simple arithmetic)

    • Explain when to use a parameter

    • Display totals on a worksheet

Topic 3: Sharing Insights

  • Format view for presentation

    • Use color from the marks card

    • Configure fonts

    • Format marks as shapes

    • Configure viz animations

    • Change size of marks

    • Show and hide legends

  • Create and modify a dashboard

    • Add worksheets to a dashboard

    • Add interactive elements for consumers (e.g. show filters, data highlighter, tooltips)

    • Add dashboard actions (e.g. filter action, highlight action, parameter control, URL action)

    • Configure a dashboard layout and create device-specific dashboards

    • Create a story and a story point

  • View and share workbook data

    • Share a workbook (e.g. twbx as a PDF or an image, publish to Tableau Server)

    • View and export underlying data

    • Export to Microsoft PowerPoint

Topic 4: Understanding Tableau Concepts

  • Understand dimensions and measures

    • Explain what kind of information dimensions usually contain

    • Explain what kind of information measures usually contain

    • Explain the difference between dimensions and measures

  • Understand discrete and continuous fields

    • Explain how discrete fields are displayed

    • Explain how continuous fields are displayed

    • Explain the difference between discrete date parts and continuous date values

  • Understand aggregations

    • Explain the default aggregation for measures

    • Describe how an aggregated measure changes when dimensions are added to a view