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Data Alchemy: Executing Insights into Big Data for Corporate Brilliance
The growth of Data Science has driven how modern world organization grow their businesses faster today. The emergence of Data Analysis over the years, without Data Science, would require traditional Business Intelligence (BI), primarily with a static performance reporter, to give the necessary information and decision making within current business operations.
The emergence of Data Science has driven how modern world organization grow their businesses faster today. The growth of Data Analysis over the years, without Data Science, would require traditional Business Intelligence (BI), primarily with a static performance reporter, to give the necessary information and decision making within current business operations.
With the rising volume and complexity of data, and growth of data input technologies, Data Science came at an essential time to provide some methods to the expansive data volumes overcoming many modern enterprises.
Data Science offer reliable decision-support systems to busy executives to analyse the overwhelming data in their hands, visualize the data in a simple way, and support from data experts for making data-driven decisions, by handling high-speed, high-volume, and complex, multi-structured data from a wide variety of data sources through Data Analytics.
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.
The emergence of Data Science has driven how modern world organization grow their businesses faster today. The growth of Data Analysis over the years, without Data Science, would require traditional Business Intelligence (BI), primarily with a static performance reporter, to give the necessary information and decision making within current business operations.
With the rising volume and complexity of data, and growth of data input technologies, Data Science came at an essential time to provide some methods to the expansive data volumes overcoming many modern enterprises.
Data Science offer reliable decision-support systems to busy executives to analyse the overwhelming data in their hands, visualize the data in a simple way, and support from data experts for making data-driven decisions, by handling high-speed, high-volume, and complex, multi-structured data from a wide variety of data sources through Data Analytics.
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.
Objective
- 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.
- Example of Data Analysis and its impact and outcome
- Be able to manipulate and analyze data for effective decision making
- To be able to predict future trends or business behaviour
- Classify data to extract insights and intelligence
- Using Big Data to visualize and analyse the data
Outline
Excel: Limitations and Constraints
- Use a more powerful, more extensible way with bigger dataset and cleanup than excel
Intro to Jupyter Notebooks
- Why and How to use Jupyter Notebook: Practical, essential independent platform
Big Data: Why Data Analytics
- Making decisions: Collecting, analyzing and interpreting data (Exploratory Data Aanlysis)
- Big Data Story
- Opportunities and Universal Needs
- Data by the Numbers
- Cast Studies
Visualization
- In the Wild
- Decisions in Design
Example of Data Analysis
- Interactive process, systematic search and analyzed to provide illuminating description
Hands-on Activity
Using Jupyter notebooks
- Steps and process as well as visualization, plotting and graphing the data
Data Analysis with Pandas and Dataframe
- Using the libraries
- Exploration of Data
- DataFrames and Series
- Importing data, Extracting metadata and Manipulating
- Filtering and Appending
- Plotting using Matplotlib
- Quick intro to dictionaries data structure
- Plot Types and Attributes with flexible plotly library
Data Analysis using Tableau
- Importing and connecting to Big Data and Union the data
- Exploration of Data via Tableau
- Data Analysis with Tableau
- Storytelling with the Big Data via Tableau
Hands-on Activity
Who should attend
- Anyone who is interested to learn about Big Data, Data Science, Data Analytics using Data Analysis to have effective impact in your analytical decisions, understand how Data Science can help to grow your Business faster
- Managers, Team Leaders, Executives, Officers, Secretaries, Assistants
- IT Personnel, Operations
- All Staff within an Organisation
- Anyone involved in data analysis, interpreting of data in their work
- Anyone looking to gain knowledge or have skillsets in Big Data, Data Analytics or Data Science
Prerequisite
- Must know how to install software and applications.
- Ideally, have attended the workshop on Python or knows programming like Python.
- Optionally, have attended or know how to use Tableau
After completing this course, learners can consider taking up Key Benefits of Data Analysis to Gain Insights into Big Data (with Tableau), and/or Tableau: Effective Story Telling through Interactive Data Analytics
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.
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
Swee Chye was very experience and it was an informative session – IBM
Insightful, interesting and something new – ISCA Participant
The hands-on activities, and demonstration made the training practical and relevant to learning – Republic Polytechnic
- Learning about the basic of Python has been useful
- Trainer is patient and willing to offer guidance when participants faced challenges the course
( Ministry of Manpower)
Insightful, interesting and something new – ISCA Participant
The hands-on activities, and demonstration made the training practical and relevant to learning – Republic Polytechnic
- Learning about the basic of Python has been useful
- Trainer is patient and willing to offer guidance when participants faced challenges the course
( Ministry of Manpower)
Profile 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, Prompt Engineering for Developers, and Generative AI
- AWS-certified - AWS Cloud Quest: Cloud Practitioner,
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.
