DSF710

Data Science for Executives: Strategic Analytics & Business Intelligence

Q: What will I learn in this Data Science for Executives course?

You will gain a comprehensive understanding of data science principles from an executive perspective. The course covers the evolution of data science and Big Data, different types of analyses (descriptive, predictive, and prescriptive), the complete data lifecycle from wrangling to analysis, fundamental statistical concepts, data visualization techniques, and advanced topics like model creation and deep learning. You'll also learn how to operationalize data science within your organization and understand data as a strategic business asset.

Q: What are the prerequisites for this course?

This course requires a graduate-level qualification and is designed for executives. While no specific technical background in data science is required, participants should have business leadership experience and be comfortable with strategic decision-making concepts. The course is structured to make complex data science concepts accessible to business leaders without requiring programming or advanced mathematical skills.

Q: Who is the target audience for this course?

This course is specifically designed for executives and senior business leaders who need to understand data science principles to make informed strategic decisions. It's ideal for C-suite executives, department heads, business unit leaders, and other senior managers who want to leverage data science capabilities within their organizations without getting into technical implementation details.

Q: How is this course delivered and what teaching methods are used?

The course uses a variety of engaging methodologies including lectures with slides, hands-on labs, case studies, group discussions, and Q&A sessions. This blended approach ensures you not only learn theoretical concepts but also see real-world applications through case studies and participate in interactive discussions with peers and instructors.

Q: What makes this course different from technical data science training?

Unlike technical data science courses that focus on programming and implementation, this executive-focused course emphasizes strategic understanding and business applications. You'll learn how to evaluate data science initiatives, understand the business value of different analytical approaches, and make informed decisions about data science investments without needing to become a technical practitioner yourself.

Q: Will I receive a certification upon completion?

This course does not offer a formal certification. However, you will gain valuable knowledge and practical insights that will enhance your ability to lead data-driven initiatives in your organization. The focus is on providing actionable knowledge that you can immediately apply in your executive role.

Q: How will this course help me in my role as an executive?

This course will transform how you approach data-driven decision making. You'll learn to recognize the strategic value of data assets, understand how different types of analysis can solve business problems, communicate effectively with data science teams, and make informed decisions about data science investments and initiatives. The case studies and real-world examples will show you how other organizations have successfully leveraged data science for competitive advantage.

Q: Where is the training conducted?

Our online trainings are conducted usually using Zoom or Google Meet. Our physical trainings are normally held in Common Ground, Bangsar South .

Q: Can international participants join this course?

Please check the Available in section to see which countries the course is available in. If your country is not listed, please contact us.

Q: What is the difference between public, corporate, and training provider pricing?

Public pricing : applies for individuals signing up from different companies. Corporate pricing : applies if a company wants to have an intake for its employees only. Training provider pricing : applies only for other training providers looking to hire our trainers and use our content. Our content has a licensing fee.

Ascend to strategic mastery of Data Science with our executive-focused course. Engage with industry experts to harness powerful insights from your organization's data. Enroll now for transformative knowledge that drives decision-making.

Available in:
Malaysia

Face-to-Face Oct 15-16, 2026 9:00 AM - 5:00 PM Dr. Esther Suria Kala

Created: December 24th 2020, 2:24 PM MYT Last Modified: October 13th 2026, 6:01 AM MYT

updated

intermediate

We price match

Public Pricing

MYR 3500

Corporate Pricing

Pax:

Training Fees: MYR 6500/day

Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day

Material Fees: MYR 600

Total Fees: MYR 6200 ++

Features

2 days

16 modules

24 intakes

English

Technical: 25 pax

Target Audience

executives

Methodologies

lecture

slides

labs

case studies

group discussion

q&A

Subsidies

What you'll learn

Learn about the different types of analyses: descriptive, predictive, prescriptive.
Master the stages of the data lifecycle including wrangling, modeling, and management.
Grasp fundamental statistical concepts for robust data analysis.
Discover effective strategies for data visualization and communication.
Understand the historical context and current landscape of Data Science.
Recognize the significance of data as a strategic business asset.
Explore advanced model creation techniques and their applications in business.
Identify best practices for operationalizing Data Science within an organization.

Recap and Q&A

15 mins

End of Day 2

Ratings and Reviews

( 4 ratings )

75%

25%

( 0 reviews )

Instructor

Dr. Esther Suria Kala ICT & Cybersecurity Training Expert

Trainer Profile

TTT Certificate

Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.

Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.

Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.

As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.

Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.

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Instructor

Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist

Trainer Profile

Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.

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Instructor

Salam Khan Agile & Data Training Specialist

Trainer Profile

Salam Khan is a seasoned technology professional and corporate trainer with over 20 years of hands-on experience spanning agile delivery, data management, product development, and business strategy. As both a practitioner and educator, Salam brings a unique perspective to training—one rooted in real-world application across startups, enterprise environments, and global organizations throughout Australia, the Middle East, and Southeast Asia. Throughout his distinguished career, Salam has partnered with leading organizations including Emirates Airlines, PWC Academy UAE, Sepang Circuit Malaysia, Myer, NAB, ANZ, Kind Corner, and 9T5. His training programs are characterized by their practical focus, engaging delivery style, and emphasis on immediately applicable outcomes. Whether facilitating large-scale agile transformations, upskilling product teams, or developing the capabilities of business analysts and technical writers, Salam designs learning experiences that are accessible, relevant, and results-driven. Salam's expertise is backed by an impressive array of industry certifications that demonstrate his commitment to professional excellence. He holds the Certified Data Management Professional (CDMP) credential, positioning him as an authority in data governance and strategy. His agile credentials include SAFe Program Consultant (SPC), Professional Scrum Master (PSM), Professional Scrum Product Owner (PSPO), and Professional Agile Leadership (PAL-E) certifications, reflecting deep knowledge across the full spectrum of agile methodologies and scaled frameworks. Additionally, his foundation in Data & AI DSPM Fundamentals ensures he remains current with emerging technologies and data privacy considerations. What sets Salam apart as a trainer is his practitioner-first approach. He doesn't just teach theory—he shares insights gained from working in the trenches, solving real problems, and leading diverse teams across multiple continents. His training style is grounded, practical, and focused on equipping participants with skills they can apply immediately in their roles. With a Bachelor of Science in Computer Science providing his technical foundation, Salam seamlessly bridges the gap between technology, business strategy, and human capability development, making him an invaluable resource for organizations seeking to build high-performing, agile-enabled teams.

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Mohammed Al-obaydee AI & Data Science Expert

Trainer Profile

TTT Certificate

Dr. Mohammed Al-Obaydee is a distinguished academic and industry professional with extensive expertise in artificial intelligence, machine learning, deep learning, and data science. As an Adjunct Associate Professor at Taylor's University Malaysia and a certified Train the Trainer professional, he brings a unique blend of academic rigor and practical industry experience to his teaching and consulting engagements. With a Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) and over two decades of experience spanning academia and industry, Dr. Al-Obaydee has established himself as a leading authority in advanced computing technologies. His research excellence is evidenced by multiple best paper awards, including recognition at IEEE ACSAT2014 and ITNG 2023 conferences, along with an impressive publication record featuring over 149 citations and an h-index of 6. His research focuses on medical image analysis, computer vision, machine learning applications, and deep learning techniques. As a founder of INNOEYETIVE and AIC4ALL, Dr. Al-Obaydee demonstrates entrepreneurial acumen in leveraging AI and immersive technologies for digital transformation. His industry experience includes successful training and consultation projects with major corporations such as HSBC Bank, OCBC Bank, DELL Malaysia, Amway Malaysia, and EtiQa, where he has delivered specialized programs in data science, analytics, and applied AI engineering. His ability to bridge the gap between theoretical concepts and practical applications makes him an exceptional trainer for professionals seeking to upskill in emerging technologies. Dr. Al-Obaydee's teaching portfolio encompasses a comprehensive range of subjects including Machine Learning, Deep Learning, Data Analytics, Data Engineering, Parallel Computing, and Advanced Data Structures. He has supervised numerous master's students and research projects at both Taylor's University and the International Islamic University Malaysia (IIUM), focusing on cutting-edge topics such as deep reinforcement learning, medical image classification, fraud detection, and natural language processing. His international speaking engagements and extensive training experience across multiple organizations demonstrate his exceptional communication skills and ability to make complex technical concepts accessible to diverse audiences.

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Trainer Profile

TTT Certificate

TTT Accreditation

Uzair Aslam is an accomplished Data Scientist with extensive expertise in machine learning, artificial intelligence, and advanced analytics. With a proven track record of delivering transformative data-driven solutions across the financial services and telecommunications sectors, he brings a unique combination of technical excellence and business acumen to every project. Currently serving as AVP - Senior Data Scientist at Maybank, Uzair has spearheaded the development of cutting-edge fraud detection models that have revolutionized risk management processes. His innovative machine learning solution reduced false positive review time by 75%, saving approximately 2,940 man hours and significantly improving operational efficiency. He has successfully engineered sophisticated fraud detection systems combining Computer Vision and Natural Language Processing, utilizing OCR technology for document analysis and anomaly detection. His leadership extends to managing cross-functional teams and developing automated business intelligence solutions, including news web-scraping applications for risk event monitoring across the Asia Pacific region. Uzair's professional journey includes valuable experience as a Specialist Data Scientist at The CADS, where he provided strategic advisory services to major international clients including Petronas, Shell, and CIMB. His consulting expertise focuses on translating complex business requirements into actionable data science use cases. He has also demonstrated exceptional training capabilities, delivering corporate training programs on Machine Learning, Deep Learning, and Natural Language Processing to diverse professional audiences. With a Master's degree in Data Science & Business Analytics from Asia Pacific University (achieved with Distinction) and a Bachelor's in Electronics Engineering, Uzair possesses a solid academic foundation complemented by numerous industry certifications. His technical proficiency spans Python, R, SQL, Spark, SAS, and HiveQL, along with expertise in modern data science platforms including Tableau, Power BI, DataRobot, H2O.ai, and Dataiku. His project portfolio demonstrates versatility across fraud detection, credit scoring, opinion spam detection, electricity load forecasting, and neural network applications, showcasing his ability to apply advanced statistical and machine learning concepts to solve real-world business challenges.

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Trainer Profile

TTT Accreditation

Ts. Koong Wah Yan (Wayne) is a distinguished Technology Executive and AI Transformation Specialist with over 25 years of pioneering experience in digital innovation across FinTech, AdTech, and Public Sectors. As a certified AI Governance Professional and seasoned technology leader, Wayne combines deep technical expertise in artificial intelligence, data science, and enterprise architecture with proven leadership capabilities in delivering mission-critical systems and establishing robust AI governance frameworks. Wayne's extensive industrial profile includes executive roles as Head of R&D at Innity Bhd, CIO and Software Development Manager at Wiseyes Group, Head of IT Operations at SOCSO, Data Migration Lead at MIMOS, and CRM Architect for prestigious organizations including IBM, MBB, and CIMB. His academic credentials include an MBA from University of South Australia, a Bachelor of Information Technology from Universiti Kebangsaan Malaysia, and specialized certifications in AI Governance (IAPP), Data Science (HarvardX), ISO27001 Lead Implementation, and ITIL Foundation. As a professional trainer, Wayne has delivered transformative learning experiences to over 500 professionals across diverse organizations. His training portfolio spans Machine Learning in Python workshops for engineers, Generative AI application sessions, Object-Oriented Programming training for Fortune 500 companies, and Business Intelligence tools training. Wayne's unique methodology combines Interactive Learning, Practical Application, and Business Context, creating immersive experiences with real-world case studies and hands-on exercises that consistently achieve 90%+ participant satisfaction rates. Wayne specializes in Digital Transformation with AI, GenAI, ML & Data Science training programs tailored for technical teams, management, and general audiences. His expertise extends to tools-specific training including PowerPoint with AI, Metabase, Google Looker Studio, and SQL for MySQL. Wayne's rare ability to bridge advanced technical concepts with strategic business implementation makes him an invaluable trainer for organizations seeking to accelerate their AI transformation journey while establishing responsible AI governance frameworks.

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FAQ

Frequently Asked Questions About This Course

What will I learn in this Data Science for Executives course?

What are the prerequisites for this course?

Who is the target audience for this course?

How is this course delivered and what teaching methods are used?

What makes this course different from technical data science training?

Will I receive a certification upon completion?

How will this course help me in my role as an executive?

Where is the training conducted?

Can international participants join this course?

What is the difference between public, corporate, and training provider pricing?

Do I have to pay right away?

I just enrolled in an intake. Does that mean I can attend the course on that date?

What happens if quorum for an intake is not reached?

Why should you attend?

What you'll learn

Learn about the different types of analyses: descriptive, predictive, prescriptive.
Master the stages of the data lifecycle including wrangling, modeling, and management.
Grasp fundamental statistical concepts for robust data analysis.
Discover effective strategies for data visualization and communication.
Understand the historical context and current landscape of Data Science.
Recognize the significance of data as a strategic business asset.
Explore advanced model creation techniques and their applications in business.
Identify best practices for operationalizing Data Science within an organization.