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Empowering Decisions with Tableau

Transform Data into Informative, Easy-to-Understand Visualizations

  • Schedule

    17 – 19 December 2024
    09.00 – 15.00 WIB

  • Investment

    Rp. 5.550.000

15

Hours Course

WORKSHOP STARTS IN

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Overview:

This intensive training equips participants with essential Tableau skills, from data connection to visualization. Designed for individuals of varying expertise, attendees will master advanced features, enabling them to create interactive dashboards and derive actionable insights. Through hands-on learning, this workshop ensures participants can confidently transform raw data into compelling visual narratives, empowering them to make informed decisions and enhance their organizations’ business intelligence efforts.

Course Syllabus

  • The Tableau Platform: Familiarize yourself with Tableau’s interface and tools for effective data visualization.
  • Application Terminology: Learn essential Tableau terminology to navigate the platform efficiently.
  • Visual Cues for Fields: Understand visual cues in Tableau that aid in identifying and using different data fields.
  • Understanding the Tableau Workflow: Grasp the step-by-step process of creating visualizations in Tableau.
  • Elements of a Visualization: Explore the key components that form a Tableau visualization.
  • Getting Started in Tableau: Acquire foundational skills to initiate data visualization projects in Tableau.
  • Tableau File Types and Extensions: Understand various file formats and extensions compatible with Tableau, ensuring seamless data importation and compatibility.
  • Creating a Live Data Connection: Learn to establish real-time connections with data sources, enabling dynamic, up-to-date analysis and visualization.
  • Saving and Editing a Data Source: Master the process of saving and editing data sources within Tableau, ensuring data integrity and consistency.
  • Modifying Data Attributes: Manipulate data attributes, ensuring accuracy and relevance in your visualizations, and explore techniques for effective data transformation.
  • Understanding Changes to Data: Gain insights into tracking and managing changes to data over time, ensuring your visualizations are always based on the most recent and relevant data.
  • Data Filtering: Master advanced data filtering techniques for precise data selection, enabling focused analysis and visualization.
  • Creating Date Filters: Explore techniques for creating date-specific filters, allowing for time-based analysis and trend identification.
  • Sorting: Learn how to sort data within Tableau visualizations, ensuring data clarity and aiding in identifying patterns and outliers.
  • Using Groups: Harness the power of grouping related data points, enhancing visualization readability and providing a comprehensive overview of data subsets.
  • Creating and Using Hierarchies: Understand hierarchical data structures, allowing for multi-level analysis and visualization, providing detailed insights into complex data relationships.
  • Creating Crosstabs: Generate detailed crosstabs for in-depth data comparison and analysis, facilitating comprehensive exploration of data intersections.
  • Grand Totals, Subtotals, and Changing Aggregation: Learn to calculate grand totals and subtotals in Tableau, exploring changing aggregation methods for flexible data representation.
  • Creating Highlight Tables: Utilize highlight tables to emphasize specific data points, enhancing visualization focus and drawing attention to key insights.
  • How to solve business problems with data visualization: Learn strategies for using visualization techniques to address real-world business challenges.
  • Understanding Data Visualization: Grasp the fundamental principles of effective data visualization for insightful analysis.
  • How to extract insight from data visualization: Develop skills to extract meaningful insights from visual data representations.
  • How to create actionable insights: Explore methods for translating data insights into actionable strategies for business decisions.
  • Showing Correlations and Outliers with Scatter Plots: Use scatter plots to identify correlations and outliers, aiding in detailed analysis.
  • Create a Scatter Plot: Learn to craft effective scatter plots for visualizing numerical relationships.
  • Analyze Using the Highlighter: Emphasize specific data points in scatter plots for enhanced interpretation.
  • Analyze an Outlier Using Explain Data: Gain insights into outliers using Explain Data for in-depth analysis.
  • Using the Analytics Pane: Add trend lines, reference lines, and statistical summaries to scatter plots for comprehensive analysis.
  • Trend Lines and Trend Model: Visualize data trends over time or categories with trend lines and models.
  • Reference Lines and Bands: Provide context within scatter plots by comparing data points against benchmarks or targets.
  • Using Calculations in Tableau: Explore the various calculation types, including basic arithmetic, logical, and date calculations, to perform complex data manipulations.
  • Calculation Types: Understand diverse calculation types, such as aggregations, string functions, and type conversions, for versatile data analysis.
  • Creating and Editing Calculated Fields: Master the creation and modification of calculated fields, empowering precise control over data transformations.
  • Formula Editor Conventions: Familiarize yourself with the formula editor’s syntax and conventions, ensuring accuracy in creating complex calculations.
  • Types of Calculated Fields – Examples: Delve into practical examples of calculated fields, from conditional statements to advanced mathematical operations, for real-world applications.
  • Calculations and Aggregations: Learn how calculations interact with aggregations, enhancing your ability to analyze summarized data accurately.
  • String Functions: Explore string functions in calculated fields, enabling text manipulation and parsing for comprehensive data processing.
  • Split and Custom Split: Understand the functions of split and custom split, allowing you to dissect and transform text fields efficiently.
  • Type Conversions: Master type conversions within calculated fields, ensuring seamless integration and transformation of different data types.
  • Date Calculations – Examples: Apply date calculations, including date differences, date formatting, and date comparisons, to gain insights from time-based data effectively.
  • Table Calculation Overview: Understand the concept of table calculations and their role in data analysis.
  • Using Quick Table Calculations: Learn how to apply quick table calculations to visualize data trends and patterns.
  • Using Rank to Show Biggest to Smallest: Utilize ranking techniques to display data from the largest to smallest values for comparative analysis.
  • Understanding Where Calculations Occur: Grasp the context in which calculations are applied within Tableau visualizations.
  • Creating and Editing Calculated Fields: Master the creation and modification of calculated fields for advanced data manipulation.
  • Calculations and Aggregations: Explore the relationship between calculations and aggregations, understanding how they work together in data analysis.
  • Aggregating Dimensions in Calculations: Learn techniques for aggregating dimensions within calculations, ensuring accurate and meaningful results.
  • Join Calculations: Explore join calculations to combine data from different sources for comprehensive analysis.
  • Level of Detail (LOD) Expressions: Master LOD expressions for nuanced control over data granularity in visualizations, allowing precise analysis at different levels of detail.
  • Comparing Two Measures (Bar in Bar Chart): Use bar-in-bar charts for precise comparison of two measures within a single visualization.
  • Comparing Progress Toward a Goal (Bullet Graph): Gauge progress effectively using bullet graphs, providing clear visual indicators of achievements and areas for improvement.
  • Using Reference Lines: Mark specific data points or values for context and comparison within visualizations.
  • Reference Bands: Highlight data ranges accurately, aiding in trend analysis and outlier identification.
  • Bins and Histograms: Learn how to use bins and histograms to represent data distributions effectively.
  • Box and Whisker Plots: Explore box and whisker plots for visualizing data spread and identifying outliers.
  • Basic Distributions Statistics: Grasp fundamental statistical concepts for interpreting data distributions accurately.
  • Using Parameters: Understand the concept of parameters and their applications in Tableau visualizations, allowing dynamic data adjustments for enhanced insights.
  • Parameters and Filters: Explore the integration of parameters with filters, enabling precise control over data subsets for tailored analysis.
  • Using Parameters with Reference Lines: Learn how to leverage parameters in conjunction with reference lines, enhancing visualizations with adaptable benchmarks and thresholds.
  • Planning Your Dashboard: Explore strategic approaches to planning effective and engaging Tableau dashboards, considering layout, content, and user experience.
  • Building Your Dashboard: Gain hands-on experience in building visually appealing and interactive Tableau dashboards, integrating charts, graphs, and other visual elements seamlessly.
  • Add Interactivity with Filters and Actions: Learn how to enhance dashboard interactivity using filters and actions, allowing users to explore data dynamically.
  • Adding Actions to Your Dashboard: Understand how to incorporate interactive actions within your dashboard, enabling users to navigate between visualizations effortlessly.
  • Additional Dashboard Actions: Explore advanced dashboard actions, such as URL actions and parameter actions, to create more complex and responsive user experiences.
  • Set Actions: Master the use of set actions to create dynamic sets based on user interactions, providing tailored insights.
  • Parameter Actions: Learn how to use parameter actions for user-driven data manipulation, allowing for personalized analysis within dashboards.
  • Visual Best Practices: Understand design principles and best practices for creating visually compelling Tableau dashboards, ensuring clarity, coherence, and user engagement.
  • Add Instructions & Annotations: Explore techniques for adding instructional elements and annotations to guide users through dashboard content, enhancing usability.
  • Tooltips: Utilize tooltips effectively to provide additional context and information, enhancing the user understanding of data points within visualizations.
  • Remove Chart Extras: Learn how to refine your dashboard by removing unnecessary chart extras, streamlining the visual presentation for a cleaner look.
  • Publish Your Dashboard Online: Explore the step-by-step process of publishing Tableau dashboards online, making them accessible to a wider audience and facilitating collaborative data exploration.

Course Receivables:

  • Lecturer’s Notes

    Including Course Books (PDF), HTML files, course transcripts (if any).

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout each course.

  • Certification of Completion

    Show current employer hat you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, and small group size.

  • Refreshments & Coffee Break

    In our commitment to delivering a premium experience, we collaborate with leading catering services in Jakarta. Our aim is to ensure that all participants are served delectable lunches and revitalizing coffee breaks.

ABOUT THIS SERIES

Courses in this series cater to a diverse audience: from casual learners and working professionals to those venturing into data science and machine learning without a programming background.

We recognize that many students may not have prior expertise in statistics, mathematics, or algebra. Therefore, our courses are designed with a gentle learning curve, placing a strong emphasis on hands-on experience and individualized instruction. Our dedicated team of instructors and teaching assistants ensure personalized guidance every step of the way.

Teaching Methodology:

Students work through tons of real-life examples using sample datasets donated by our mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.