Data Visualisation Using Tableau For Intermediate Users

Elevate Your Tableau Skills to the Next Level

This intermediate-level Tableau course is tailored for users who are ready to expand their expertise beyond the basics of data visualization. Designed for individuals already familiar with Tableau's core functionalities or who have completed the "Data Visualization Using Tableau for Beginners" course, this program equips participants with advanced techniques to create insightful dashboards and dynamic visualizations. Through hands-on exercises, participants will explore sophisticated tools and methods to prepare, analyze, and visualize data effectively.

Master Data Visualization in a Data-Driven World

As organizations increasingly prioritize data-driven decision-making, Tableau has emerged as a leading platform for interactive and insightful data visualizations. This course delves into Tableau's advanced features, including data preparation using pivots and splits, building complex relationships between tables, and utilizing calculations for deeper analysis. Participants will also learn to create powerful projections, trend lines, and forecasts to inform strategic decisions. By the end of the course, learners will possess the skills needed to harness Tableau's full potential for business intelligence.

*Learners should have an internet-enabled laptop with a Windows operating system and Tableau Desktop or Tableau Public preinstalled (an installation guide will be sent prior to the course date) for this course.

Upon completion of this course, learners would be able to:

• Understand and connect to various data sources beyond Microsoft Excel.
• Prepare data using advanced tools like Data Interpreter, pivots, and splits.
• Combine and analyze data using relationships, joins, and unions with wildcard searches.
• Master advanced Tableau functionalities, including table calculations and Level of Detail (LOD) expressions, such as FIXED LOD calculations for cohort analysis.
• Make data-driven projections and forecasts using trend lines and forecasting techniques.

• Professionals looking to create professional-grade dashboards and reports to derive actionable insights.
• Students and working professionals seeking to deepen their data visualization skills.
• PMETs (Professionals, Managers, Executives, and Technicians) eager to enhance their proficiency with Tableau for career advancement.

This course is designed for learners who have either

• Completed the Data Visualisation Using Tableau For Beginners course; or
• Regularly use and/or are familiar with Excel and Tableau features such as charting and navigation

*Please note that the course will not cover the basic features and operations of Tableau. It will start on the assumption that learners come with the above knowledge.

"Very affable and willing to slow down/speed up as necessary to accommodate to different learners."

"His instructions were very clear when going through the steps. Very engaging, knowledgable and informative."

Gary: Data Analytics Expert and Experienced Educator

Gary is a seasoned data analyst with extensive experience in leading software and biotechnology companies. A CPE-Registered adjunct lecturer, Gary has taught and examined courses ranging from diploma to postgraduate levels at multiple private education institutions. His academic credentials include an MBA in Finance, a BSc in Finance, and a Specialist Diploma in Big Data Analytics, alongside professional certifications such as the Microsoft Professional Program for Data Science and the Advanced Certificate in Training and Assessment (ACTA).

Committed to lifelong learning, Gary is currently pursuing a Master of Science in Analytics at Georgia Tech, a globally renowned institution for computer science. He combines technical expertise in SQL, Python, Tableau, and Power BI with a passion for data storytelling, enabling professionals to uncover hidden opportunities and present findings effectively. Gary's training philosophy emphasizes practical application and equipping learners with skills that translate seamlessly into real-world scenarios.