Introduction to Data Analytics

Training Modes
 Virtual: Zoom

Course Code
7 Hours (1 Day)
Course Fee
$496.80 inclusive of GST
This Course is For
Those who just joined a new organization, either as an experienced veteran or really new entrant into the working world. It is also a good refresher course for others.

Preferred Date

You can also register by:

  1. Form: Click here to download. Email back to us.
  2. Ministries on HRP / ACE: Inform your Training Coordinator the Course Code, Course Date and the Training Provider is Oaks Training c/o GIL Consultancy.
    IMPORTANT NOTE: OAKS TRAINING begins with the letter O and not the symbol @ in HRP
  3. PHONE: Call +65 6423 1183.

Never been exposed to Data Analytics? You need this!

A good appreciation of how data analysis is an important element in any data scientists daily work in today’s data driven workplace. As an example, for non-programming team members, understanding databases and SQL is a super-valuable skill. It allows them access to data that was once held hostage by database teams.

Data analysis is abstract and strictly not math alone. It requires a hands-on approach in order to truly understand the pitfalls good analysts will face. And in today’s business world, data analysis is not limited to data scientists…It is also key for business analysts, system engineers, financial teams, marketing, human resource, and so on.

This course has thus been designed to provide a basic and yet comprehensive platform to be educated in the field of data analytics.

Course Objectives

  • Understand the latest buzz regarding data management
  • Know Big Data and its 4Vs
  • Elaborate what data analytics is and the different types of data analytics - descriptive, predictive, and prescriptive
  • Differentiate the differences between business and data analytics
  • Basic understanding of common languages used in analytics
  • Understand the various data (variable) types
  • Exposed to basic data coding and coding systems
  • Appreciate how statistical process is important within analytics
  • Analyse data using pivot tables and basic tools in Microsoft Excel
  • Knowing when to apply analytics in various situations
  • Explain the future of analytics

Course Outline

  • What is the buzz in data management?
  • Big Data and its 4Vs
  • Data analytics and interpretation
  • Data Analysis Plan and its components
  • Differences between business and data analytics
  • The different types of data analytics - descriptive, predictive, and prescriptive
  • Common languages used in analytics
  • Various data (variable) types
  • Basic data coding and coding systems, along with data cleaning
  • Introduction to statistical process and its elements
  • Apply pivot tables and basic tools in Microsoft Excel
  • Examples of analytics applied in various situations
  • The future of analytics


Guided learning, video appreciation and class activities.

For Your Delight

• A Certificate of Attendance will be given subject to 90% attendance.


Daniel Kam has at least 20 years of corporate leadership experience under his belt around Business Development, Sales and Marketing, General Management and Organization Development work including 7 years of senior management role as a Director of Asian market in the most recent corporate job. He brings relevant experience, wisdom and practical insights in his soft-skills based programs such as leadership, high performance team work, personal development as well as business development and management. He brings relevant experience, wisdom and practical insights into his exciting courses.

He holds a degree in Business Administration with specialization in Marketing. He is a certified professional trainer, qualified ACTA facilitator as well as an executive coach. He is also certified as a trainer for Brian Tracy range of sales leadership courses.

A passionate trainer with great empathic considerations, Daniel is able to relate well with diverse groups of multi-cultural and multi-generational learners. An engaging facilitator, Daniel encourages active participation from learners of his workshops and courses, ensuring effective internalization and subsequent application of new learned knowledge.


Currently Not Applicable

Special Request

If the dates listed are not suitable for you and you have a group interested in the same course, you can contact us to arrange a date of your choice, subject to our trainer availability.

Evening classes or to be conducted in Mandarin are also available on request. Contact us for arrangements.

Group discounts are also available. Request a quote from us.


Thanks for your insightful sharings, and bringing in many real-life examples to make this course more relevant. Very amazed by your motivation to keep learning :)
Rachel Cheng (MSF)

Mr Daniel provides up to date information and shares his personal experience on relevant information, Thumb up!
Bryan (MOF)

I enjoyed the class very much! A very good intro to big data for beginners and definitely sparked my interest in Data Analytics. Thank you!
Nur Khairunnisa (SEAB)

Very professional and friendly. Very different from classroom training. Good experience.
Chan May Fong

Daniel shared many practical examples of data analytics and explained the concepts well. Thank you!
Darren Lee (BCA)

Great effort in keeping the class engaging. Thank you for sharing insights into data analytics. Appreciate all the additional info provided! :)
Nur Syazwani (MCCY)

Informative and good interaction with class. Well Done!
Tang Teen Seng (MOF)

A very interesting topic that we do not think about often. Thanks for sharing.
Oh Wei Yang (NEA)

The Trainer is very well versed in the subject and answered participants' queries.
M. Fairul (MOF)

Up to date knowledge and examples given for illustration. Keep it up. Always smiling.
Jenny Chee (SEAB)

The Trainer was friendly and very willing to share and take questions.
Emelia Lee (MOF)

The Trainer is patient and understanding.
Ho Kok Pin (MOF)

Daniel has kept the class updated. He is very knowledgeable and approchable too!
Sylvia Teo (WSHC)

Thank you for the additional information you included in the training and also the interesting course.
Zubaidah Mohammed Salleh (MOF)