Data Visualisation Using Tableau For Intermediate Users

This Tableau intermediate course is targeted at intermediate users to build operating skills that go beyond simply loading data and building simple charts. Because this is positioned as an intermediate course, learners need to have already attended the Data Visualization Using Tableau for Beginners course or are at least very familiar with Tableau's basic functionalities.

Data visualization continues to be one of the most in-demand skills as businesses and enterprises of all sizes pivot to becoming data-driven. Tableau is an interactive data visualization software company that focuses on business intelligence. Its products query relational databases, online analytical processing cubes, cloud databases, and spreadsheets to generate graph-type data visualizations. The software can also extract, store, and retrieve data from an in-memory data engine.

*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 the different data sources beyond Microsoft Excel
• Prepare data using Data Interpreter, pivots, and splits
• Use relationship and join calculations to combine tables
• Creating Unions Using a Wildcard Search
• Learn and apply different types of table calculations
• Apply a FIXED LOD calculation to analyze data in cohorts
• Make projections using trend lines and forecasts

• Anyone who wants to create professional dashboards and reports to analyze data and derive insights. 
• It is also applicable to students, working professionals and PMETs.

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 is an experienced data analyst with a demonstrated history of working in leading software and biotechnology companies; a CPE-Registered adjunct lecturer at multiple private education institutions to teach and examine courses for diploma to postgraduate levels. He holds an MBA in Finance, BSc in Finance, Specialist Diploma in Big Data Analytics, as well as professional certifications such as Microsoft Professional Program for Data Science and Advanced Certificate in Training and Assessment (ACTA). 

As a firm believer in lifelong learning, he is currently pursuing Master of Science in Analytics from Georgia Tech, which is one of the top-ranking universities in the world for Computer Science. He is always curious in understanding how things work under the hood and identifying hidden business opportunities with the help of data. Exploring effective ways to communicate findings with the stakeholders through data storytelling. Skilled in SQL, Python, Tableau, Power BI, EDA.