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Data Intelligence

Data and AI has become the hot topics recently. We talk about hard skills like visualization and  programming, and also soft skills such as the ability to understand business objectives and strategies, in order to make the data more meaningful.

What is Big Data?

Big Data is the knowledge domain that explores the techniques, skills and technology to deduce valuable insights out of massive quantities of data

Why is Big Data Important?

Big Data and its analysis techniques are at the center of modern science and business. Applying Big Data knowledge and practices bring tremendous benefits to the business, that mainly include:

  • Valuable Insights:

 Big Data allows organizations to analyze vast amounts of data to uncover patterns, trends, and insights that were previously hidden. This can lead to better decision-making and strategic planning

  • Enhanced Decision-Making:

 By leveraging Big Data analytics, businesses can make more informed decisions based on real-time data. This helps in optimizing operations, reducing costs, and improving overall efficiency.

  • Innovation:

 Big Data drives innovation by providing the necessary information to develop new products, services, and business models. It enables companies to stay competitive and adapt to changing market conditions.

  • Customer Experience:

 Understanding customer behavior and preferences through Big Data can lead to improved customer experiences. Companies can tailor their products and services to meet customer needs more effectively.

  • Operational Efficiency:

 Big Data helps organizations streamline their operations by identifying inefficiencies and areas for improvement. This can lead to higher productivity and better resource management.

 

Learning Resources for Certification

Introduction of Enterprise Big Data Framework

Frameworks provide structure. The Big Data Framework provides a structured approach that consists of six core and measurable capabilities that organizations need to take into consideration when setting up their Big Data organization.

Introduction of Enterprise Big Data Framework Certification Scheme

APMG International works as a Certification Body, and vanilla materials provided to Accredited Training Organization in order to promote the certification – SongHao Investment Co. Ltd. (Taiwan) 

Disclaim: The logo and trademark we mentioned here are under the copyright of EBDFA, APMG, and SongHao respectively.

What do we offer to support your success?

Course Duration: ± 16 Hours

  • Learning Type:
    • Self-paced learning 
    • Instructor-led exam preparation
    • Customized Corporate training
  • Course Modules:
    • Introduction to Data Literacy
    • Data Collection and Management
    • Data Analysis and Visualization
    • Data-Driven Decision Making
    • Case Study
    • Ethics and Privacy
Note: Current courses are available in Mandarin/Chinese. If you need the support in English, please ensure to add comments in the register form!

New to Big Data and AI Field? Let’s establish the foundation…

Date Literacy Fundamentals (DLF) is a stand-alone certificate to cover key concepts and principles in data collection, analysis and visualizations, etc…
We partner with SongHao to develop e-learning sources to support your growth in a flexible way. Register now to get 6 hours e-learning videos, and…let’s talk!

  • Free coaching
  • Discuss your learning path for certification
  • Evaluate your Big Data maturity level
  • etc…

We help you start the journey of Big Data! Register to get the e-book for FREE !

Register

Professions from over 120 countries have proved their expertise by earning role-based certification. Join now !

  • Course Duration: ± 24 Hours
  • Learning Type:
    • Instructor-led training
    • Customized Corporate training
  • Course Modules:
    • Introduction to Big Data
    • The Big Data Framework
    • Big Data Strategy
    • Big Data Strategy
    • Big Data Algorithms
    • Big Data Processes
    • Big Data Functions
    • Artificial Intelligence
  • Course Duration: ± 32 Hours
  • Learning Type:
    • Instructor-led training
    • Customized Corporate training
  • Practical technique: R / Python
  • Course Modules:
    • Introduction to Big Data Analysis
    • The Data Analysis Process
    • Data Ingestion – Importing and Reading Data
    • Data Preparation – Cleaning and Wrangling Data
    • Data Analysis – Model Building
    • Classification Techniques
    • Clustering Techniques
    • Outlier Detection
    • Data Presentation
  • Course Duration: ± 40 Hours
  • Learning Type:
    • Instructor-led training
    • Customized Corporate training
  • Practical technique: Python
  • Course Modules:
    • Introduction to the Enterprise Big Data
    • Scientist Certification
      Statistical Methods for Data Science and Machine Learning
    • Advanced Techniques for Machine Learning
    • Supervised Machine Learning
    • Unsupervised Machine Learning
    • Data Visualization and Communication
    • Distributed Systems
    • Deep Learning
    • Applied Data Science
…Waiting for final material approval by APMG…

Our Work

Our services are tailored to meet your specific needs and maintain a competitive edge in the market. Contact us to learn more about how we can help you and your organization achieve excellence.

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