Advanced Big Data Professional Certification Course

logocgreenfb Advanced Big Data Professional
30 Oct to 2 Nov 2017
Kuala Lumpur, Malaysia
Course Outline  | Prerequisite  | For More Information Register Now 
logocgreenfb Advanced Big Data Professional
13 Nov to 16 Nov 2017
Singapore, Singapore
Course Outline  | Prerequisite  | For More Information Register Now 

The worldwide revenue for Big Data and Data Analytics will grow to more than $203 Billion in 2020.

Banking specifically will see the fastest spending growth, and industries such as telecommunications, insurance, transportation, and utilities will also start to increase their own spending during this same period, helping to fuel growth.

Together with an increase interest and investment in AI, new tools for collecting and analysing data and new enterprise roles and responsibilities will emerge presenting IT professionals and individuals planning to pursue a career in Big Data and Data Analytics with tremendous career opprotunities.

This can never be a better time to acquire the necessary skills and gain proficiency in Big Data and Data Analyics

Read more

Business Analytics Essentials Certification Course

logocgreenfb Business Analytics Essentials
30 Oct to 2 Nov 2017
Kuala Lumpur, Malaysia
Course Outline  | Prerequisite  | For More Information Register Now 
logocgreenfb Business Analytics Essentials
6 to 9 Nov 2017
Singapore, Singapore
Course Outline  | Prerequisite  | For More Information Register Now 

“Every business is an analytics business, every business process is an analytics process and every person is an analytics user” – Gartner

Organisations are beginning to embrace business analytics, with IT and the business partnering to derive maximum value from their data. By 2020, data will digitalize 80% of business processes and products. Operation processes will become digitalized through machine learning. As data mining and business intelligence tools advance, more decisions will be made for your company and they will be based less on personal analysis and more on algorithms, which Gartner is calling automated judgment.

Read more

Jobs and Opportunities Available in Big Data

What do you think about the term Big Data?

Today Big Data is frequently used in many different ways. To some Big data means a big table of data e.g client information, and to others it means data captured by social network e.g. Twitter or Facebook.

Big Data constantly evolve in parable to technology development. When we first spoke about Big Data many years ago, data size is just some Gigabytes but now, we are already utilizing Terabyte. Up next will be Petabyte.

Big Data needs to fulfill these conditions having, volume, variety and velocity. Some theorist mentioned five conditions conditions, volume, velocity, variety, veracity and value with some adding Variety and Visualization into the mix.

Read more

Advanced Internet of Things (IOT) Certification Course

logocgreenfb Advanced Internet of Things (IOT)
25 Sept to 28 Sept 2017
Asia Pacific University (APU)
Jalan Teknologi 5, Taman Teknologi Malaysia, 57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia 
Course Outline  | Prerequisite  | For More Information Register Now 
logocgreenfb Advanced Internet of Things (IOT)
30 Oct to 2 Nov 2017
Kuala Lumpur, Malaysia
Course Outline  | Prerequisite  | For More Information Register Now 
logocgreenfb Advanced Internet of Things (IOT)
6 to 9 Nov 2017
Singapore, Singapore
Course Outline  | Prerequisite  | For More Information Register Now 

With the advent of the Internet of Things (IoT), fed by sensors soon to number in the trillions, working with intelligent systems in the billions, and involving millions of applications, the Internet of Things will drive new consumer and business behavior that will demand increasingly intelligent industry solutions, which, in turn, will drive trillions of dollars in opportunity for IT industry and even more for the companies that take advantage of the IoT.

The number of Internet-connected devices (12.5 billion) surpassed the number of human beings (7 billion) on the planet in 2011, and by 2020, Internet-connected devices are expected to number between 26 billion and 50 billion globally.

COURSE OBJECTIVE

To acquire the knowledge and develop a robust set of Internet of Things (IoT) skills required for designing and implementation.

COURSE DURATION

4 Days

COURSE OUTLINE
  • Introduction to Internet of Things (IOT)
  • Installation of OS in Raspberry Pi, and Basic Python Programming
  • Interfacing of Different Sensors with Raspberry Pi
  • Actuator with Raspberry Pi with Serial Communication
  • Socket Programming (TCP & UDP)
  • HTTP IoT Protocol (Python with Flask)
  • Introduction to MQTT IoT Protocol
  • Mosquito IoT Broker and Gateway
  • IoT with Cloud Platform like Cayenne and Adafruit
  • Introduction to AWS IoT Platform
  • IoT Analytics and Security
Prerequisites

It is preferred that participants have a valid Certification of Competency either in Machine Learning EssentialsBusiness Analytics Essential, or some basic understanding in software development

Examination

Participants are required to pass an examination. This exam tests a candidate’s knowledge and skills related to Internet of Things (IOT) based on the syllabus covered in the course

Certification

Participants will be awarded a Certificate of Competency in Advanced Internet of Things (IOT) upon meeting the requirements of the course and passing the examination.

WHO WILL BENEFIT FROM THIS COURSE?

Advanced Internet of Things (IOT) is designed for anyone who have little or no understanding, knowledge of, or experience in Internet of Things and would like the opportunity to learn in a supportive and encouraging environment.
Topics

Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.

COURSE OUTCOMES

On completion of Advanced Internet of Things (IOT), participants will have acquired the essential knowledge and skills on Internet of Things (IOT)

Contact Us for more information

 

Certified Machine Learning Expert (R)

 

logocgreenfb Certified Machine Learning Expert (R)
13 to 16 Nov 2017
Singapore, Singapore
Course Outline  | Prerequisite  | For More Information Register Now 

Machine Learning is revolutionizing the world by allowing computers to learn as they progress forward with large data sets, overwriting overcoming all programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve.

When this technology powers Artificial Intelligence (AI) applications, the combination can be powerful. Smart robots can already be found around us doing all our jobs with more speed and accuracy, and continuously improving themselves at every step.

COURSE DURATION

5 Days

COURSE OBJECTIVE

Certified Machine Learning Expert (R) is designed to allow participants acquire knowledge on how to use R-tool to apply powerful machine learning methods and gain insight into real-world applications.

COURSE OUTLINE
  • Introduction to Machine Learning
    • Concepts of machine learning
    • Data and machine learning
    • Real world applications of machine learning
    • How machine learning works
  • Understanding R – Data Structures & Managing Data
    • Data and Data Types
    • Getting Started with R
    • Data Types in R
    • Variable Operators in R
    • Data Vectors and Data Frames
    • Reading and Writing Data Files to R
    • Communicating with Database via R
    • Executing SQL Using R
    • Joining Structured & Semi Structured Data with R
    • Big Data Concepts & Application of R
  • Exploring Data in Using R
    • Bar Chart
    • Pie Chart
    • Trend Chart
    • Histogram
    • Box Plot
    • Scattered Plot & Correlation
    • Other Charts
  • Basic Classification Models and Techniques
    • Concept of Classification
    • Supervised and Unsupervised Classification
    • Decision Tree Classification
    • Random Forest Classification
    • Naive Bayes Classification
    • Support Vector Machine
  • Regression Methods and Forecasting
    • Concept of Regression Modeling
    • Modeling Stages
    • Simple linear Regression
    • Multiple Linear Regression
    • Refining the Model
    • Model Validation and Prediction
    • Logistic Regression
  • Finding Data Patterns Using Association Rules
    • Concepts of Association Rules
    • Market Basket Analysis (MBA)
    • Support, Confidence & Lift
    • Other Techniques of Association
    • Application of Association
  • K-Means Clustering
    • Cluster Analysis
    • Hierarchical Clustering
    • K-Means Clustering
  • Evaluating and Improving Model Performance
    • Model Evaluation and Comparison
    • Parameters to Evaluate the Model Accuracy
    • Selection of Right Parameters for a Model
  • Machine Learning Case Studies
  • Hands-On Machine Learning Projects

Certified Machine Learning Expert (R) involves rigorous usage of real-time case studies, hands-on exercises, and group discussions

Prerequisites

A valid Certification of Competency either Machine Learning Essentials, Business Analytics Essential, or some basic understanding in software development

Examination

To be a Certified Machine Learning Expert (R), you are required to pass an examination. This exam tests a candidate’s knowledge and skills related to Machine Learning based on the syllabus covered in the course

Certification

Participants will be awarded and recognised as a Certified Machine Learning Expert (R) upon meeting the requirements of the course and passing the examination.

WHO WILL BENEFIT FROM THIS COURSE?

This course is designed for participants who are interested in pursuing a career in the areas of Machine Learning.

Certified Machine Learning Expert (R) is intended to equip you with a set of skills that you can draw on to implement the technology in your organisation.

Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.

COURSE OUTCOMES

On completion of this Certified Machine Learning Expert (R), participants will have a robust set of Machine Learning skills that can be applied to any work setting.

Contact Us for more information

What are the job opportunities / roles available in the area of Big Data?

What are the job opportunities / roles available in the area of Big Data?

The roles are very fluid. Just a few year ago everything was about capturing, storing and processing data. Now this is largely a solved problem, and these functions will be automated and outsourced to generalized products. The growth is in data analysis and machine learning. I expect a rise of domain specific roles, like “marketing data scientist,” “UI/UX data scientist,” “sales data scientist,” etc.

Read more

Big Data and Where its Technologies Create the Most Impact

What do you think about the term Big Data?

The term is a bit of a misnomer actually. Big data does not only refer to large volumes of data. you need to also consider the variety of data (text, images, audio and video) and the velocity of data (the speed at which we generate data)

Where do you see Big Data and its technologies create the most impact?

It impacts the economy (profits, cost savings), governments (cost savings, efficiency) and society. Big data cuts across all industries and if you organization is generating data, you will need to perform (big) data analytics in order to remain competitive.

Peter Kua is a thought leader in driving the National Big Data Analytics Initiative agenda to realize Malaysia’s vision of being a regional hub for advanced data analytics by 2020. More