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Tableau Unleashed: Elevating Corporate Communication through Data Storytelling

The explosion of Data and data-focus world has driven how modern world organization grow their businesses faster today. The growth of Data Analysis over the years, provide actionable insights, to take the necessary information and make critical decision making for the ever-changing business operations and scenarios.

With the rising volume and complexity of data, and growth of data input technologies, Data Analytics convey solutions and directions in a way that all stakeholders can comprehend.

Learn to communicate business-relevant implications of data analysis using Tableau, to provide reliable, flexible and repeatable methods for analyzing real-world data. Tableau gives visual analytics and business intelligence to help one see and understand data in a whole new way.

This workshop aims to provide the necessary skillsets especially among professionals and managers in non-analysts roles to work with or make sense of data and analysis in their daily works. 

Participants should bring a laptop (Windows or Macbook, no chromebook) with  administrative rights to install and run applications for this course. Tableau software will be installed.

Objective

By the end of this course, the participant will be able to:

• Be equip with essential analytical skills and expertise to prepare for the digital and data-driven economy
• Showcase the ubiquity and usefulness of data in getting insights, reinforcing emphasis on driving the digital economy and the use of big data via Tableau.
• Example of Data Analysis and its impact and outcome
• Be able to understand and analyze data for effective decision making
• To be able to predict future trends or business behaviour
• Visualize data to extract insights and intelligence

Outline

Overview of Data Analytics

• Era of Analytics
• Analytics Spectrum
• All about Big Data and Artificial Intelligence

Introduction to Visual Analytics

• The Need for Visualization
• Exploratory Data Analysis

Visual Data Analytics

• Introduction to Tableau
Connecting to Data
• Interacting with Data
• Tableau Charts – Table, Pie, Bar, Packed Bubble, Stacked Bar, Map, Scatterplot
• Animation with Tableau
• Dashboard for greater actionable insights
• Story Telling using Story Point in Tableau
• Visual Diagnostics and Charting

Interactive Analysis, Trend Analysis and Forecasting

• Perform Interactive Analysis of the Data
• Trend Analysis and Forecasting

Hands On Exercises

• Data Preparation and Analyzing with the various hands-on exercises

After completing this course, learners can consider taking up Tableau 2: Supercharge your Analysis with More Interactivity and Insights into the Data

Who should attend

• Anyone who is interested to learn about Big Data, Data Insights, Data Analytics using Data Analysis and Tableau to have effective impact in your analytical decisions, understand how Data Analytics can help to gain insight and growyour Business faster
• Managers, Team Leaders, Executives, Officers, Secretaries, Assistants
• IT Personnel, Operations
• All Staff within an Organisation
• Anyone (non Analysts) involved in data analysis, interpreting of data in their work
• Anyone looking to gain knowledge or have skillsets in Big Data, Data Analytics or Tableau

Prerequisite
All participants should know how to use laptops and install software and applications.
All participants should have their laptops (Windows or MacBook ONLY, NO Chomebook) pre-installed with Tableau software

Methodology

This is a hands-on course, so bringing along a laptop is essential. There will be hands-on practices, activities, demonstration for various topics so that you can apply what is being taught.

A combination of lectures, case examples and hands-on exercises will be used to engage participants to understand, learn and acquire practical skills about the various topics.

The trainer will explain on the topic and then guide you through with step-by-step practice or demonstrate on the topic.

Testimonials

Particular of Ang Swee Chye

Certified Technology Trainer, Facilitator and Consultant

Certifications
Swee Chye is an experience trainer certified by various organization. He is certified by the following organizations:

• Microsoft-certified - Microsoft Certified Educator,
• Apple-certified - Apple Professional Learning Specialist & Apple teacher,
• IBM-certified - IBM Data Science Practitioner – Instructor & IBM Enterprise Design Thinking Practitioner,
• Certified EC Council - Computer Hacking Forensic Investigator & Certified Ethical Hacker, CyberSecurity Career Mentor,
• AWS-certified - AWS Cloud Quest: Cloud Practitioner,

and also ACTA-certified.

Education
He holds an honours degree in Electrical and Electronics Engineering, who possesses a strong passion in ICT Training, and has trained many organizations and customers globally.

Working Experience
He has more than 25 years of ICT experience. He has been providing ICT training to government, private institutions and organizations in 5 different continents. He specializes in Cyber Security, Internet of Things (IoT), Mobile Development, Data Science, Data Analytics, Artificial Intelligence, Machine Learning, Cloud Computing and Web Development. He focuses on data and data-related training programs to diagnose, analyse and predict (Data Science, Data Analytics, IoT, AI & ML), to protect data and mitigate risk (Cybersecurity) and to automate system and processes (Programming, Robotics & RPA). All these can be scaled and performed on premise or in the cloud.

Customers/Clients Credentials
Clients from diverse industries he has trained include GovTech, Temasek Holdings, JP Morgan, GIC, State Courts, DBS, IMDA, Proctor & Gamble, Nanyang University, Republic Polytechnic, Singapore Polytechnic, Pavilion Energy, Nanyang Polytechnic, HTX, SPF, and overseas clients like Hutchison Ports Holdings, Coscon Logistics, DHL, Panasonic, DOW Chemical, Damco, Yang Ming, Top Glove, Mitsui, LG among many others.

Professional Work
Apart from being a corporate trainer, Swee Chye does consultancy work in ICT in areas like Cyber Security, Data Analytics, IoT, Robotics, Mobile Application, Data Analytics and Web Development.