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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.
Guided learning, video appreciation and class activities.
• 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
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!
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)