AI in Business Analytics: Turning Data into Strategic Decisions

Master the intersection of artificial intelligence and business analytics to drive strategic decision-making in your organization. Enroll in our comprehensive training program designed specifically for business professionals seeking to leverage AI-powered insights for competitive advantage through hands-on projects and real-world applications.

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beginner
AI in Business Analytics: Turning Data into Strategic Decisions
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 4800
Material Fees: MYR 400
Total Fees: MYR 5200

Features

2 days
14 modules
Full life-time access
English

Subsidies

HRDC Claimable logo

What you'll learn

  • Build predictive models using no-code AI tools for business applications
  • Apply AI solutions across marketing, sales, operations, and HR functions
  • Develop AI-driven business use cases with actionable recommendations
  • Clean and prepare business data using Excel and Power BI effectively
  • Create compelling data visualizations and business storytelling dashboards
  • Implement ethical AI practices while addressing bias and privacy concerns
  • Distinguish between AI and traditional analytics in business contexts

Why should you attend?

This comprehensive course bridges the gap between artificial intelligence and business analytics, empowering professionals to transform raw data into strategic business decisions. Participants begin by exploring the fundamental differences between AI and traditional analytics, examining real-world applications across various business functions, and understanding the four key types of analytics: descriptive, diagnostic, predictive, and prescriptive. The curriculum progresses through essential data management skills, covering structured and unstructured data sources, data cleaning techniques, and preparation methods using industry-standard tools like Excel and Power BI. Students gain hands-on experience in data visualization and storytelling, learning to create compelling dashboards that communicate insights effectively to stakeholders. Advanced modules introduce predictive analytics and AI models through accessible no-code platforms like Google AutoML and Teachable Machine. Participants explore practical applications across marketing, sales, customer insights, operations, and human resources, examining real-world case studies and company examples. The course emphasizes ethical AI practices, addressing bias, privacy concerns, and responsible implementation strategies. Two comprehensive mini-projects allow students to apply their learning: creating business metric dashboards and developing AI-driven solutions for specific business functions. These practical exercises culminate in presentations with peer and instructor feedback, ensuring participants can confidently implement AI-powered analytics in their organizations.

Course Syllabus

Differences between AI and traditional analytics
Real-world business applications of AI
Overview of analytics types: Descriptive, Diagnostic, Predictive, Prescriptive
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2

Instructor

Loading...
Mohammed Al-Obaydee Trainer Teaching

Dr. Mohammed Al-Obaydee is a distinguished trainer, academic, and industry expert with a robust background in computer science and engineering. Born on June 6, 1981, he holds Iraqi nationality and is proficient in Arabic, English, and Malay. Dr. Mohammed Al-Obaydee's academic journey began with a Bachelor’s degree in Electrical and Electronic Engineering from the University of Technology in 2004, followed by a Master’s degree in Computer Science from High Academia for Science and Human Science in 2007. He earned his Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) in 2016. Dr. Mohammed Al-Obaydee has been actively involved in academia as an Adjunct Associate Professor at Taylor’s University Lakeside Campus since August 2022, where he supervises master students and lectures on subjects such as Machine Learning, Parallel Computing, Data Analytics, and Data Engineering. His previous teaching roles include positions at KICT/IIUM and Philadelphia University Jordan, where he taught advanced topics like Advanced Data Structure with C++ and Program Analysis Techniques. In addition to his academic endeavors, Dr. Mohammed Al-Obaydee is a seasoned professional trainer certified by HRD Corp. He has delivered numerous training sessions on Data Science and Analytics as well as Applied AI Engineering at institutions like Brickfields Asia College/Veritas University College since September 2020. His expertise extends to industry projects such as building customer segmentation models for Amway Malaysia and providing training consultations for major corporations like OCBC Bank, HSBC Bank, Hitech Padu, EtiQa, and DELL Malaysia. Dr. Mohammed Al-Obaydee is also an accomplished researcher with several publications to his name, including award-winning papers presented at international conferences like ACSAT2014 and ITNG 2023. His research interests focus on machine vision inspection using combined global and local features, MRI medical image classification using deep learning techniques, and information overload effects. As the founder of INNOEYETIVE and AIC4ALL, Dr. Mohammed Al-Obaydee leverages AI and immersive technologies to enhance digital marketing strategies and educational experiences globally. His leadership roles extend to being the Head of IT and Marketing Department at Yallelite LTD in the UK since May 2019 and leading the Multimedia Department at Al-Wariseen Trust in Malaysia since July 2009. With over two decades of experience spanning academia, industry training, research supervision, and entrepreneurial ventures, Dr. Mohammed Al-Obaydee continues to make significant contributions to the fields of data science, artificial intelligence, machine learning, big data analytics, and immersive technology.

5 Courses
English

Minimum Qualification

undergraduate

Target Audience

entry level
mid level managers
senior managers

Methodologies

lecture
slides
case studies
group assignment
labs
group discussion
q&A

Why should you attend?

This comprehensive course bridges the gap between artificial intelligence and business analytics, empowering professionals to transform raw data into strategic business decisions. Participants begin by exploring the fundamental differences between AI and traditional analytics, examining real-world applications across various business functions, and understanding the four key types of analytics: descriptive, diagnostic, predictive, and prescriptive. The curriculum progresses through essential data management skills, covering structured and unstructured data sources, data cleaning techniques, and preparation methods using industry-standard tools like Excel and Power BI. Students gain hands-on experience in data visualization and storytelling, learning to create compelling dashboards that communicate insights effectively to stakeholders. Advanced modules introduce predictive analytics and AI models through accessible no-code platforms like Google AutoML and Teachable Machine. Participants explore practical applications across marketing, sales, customer insights, operations, and human resources, examining real-world case studies and company examples. The course emphasizes ethical AI practices, addressing bias, privacy concerns, and responsible implementation strategies. Two comprehensive mini-projects allow students to apply their learning: creating business metric dashboards and developing AI-driven solutions for specific business functions. These practical exercises culminate in presentations with peer and instructor feedback, ensuring participants can confidently implement AI-powered analytics in their organizations.

What you'll learn

  • Build predictive models using no-code AI tools for business applications
  • Apply AI solutions across marketing, sales, operations, and HR functions
  • Develop AI-driven business use cases with actionable recommendations
  • Clean and prepare business data using Excel and Power BI effectively
  • Create compelling data visualizations and business storytelling dashboards
  • Implement ethical AI practices while addressing bias and privacy concerns
  • Distinguish between AI and traditional analytics in business contexts

Course Syllabus

Differences between AI and traditional analytics
Real-world business applications of AI
Overview of analytics types: Descriptive, Diagnostic, Predictive, Prescriptive
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2
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 4800
Material Fees: MYR 400
Total Fees: MYR 5200

Features

2 days
14 modules
Full life-time access
English

Subsidies

HRDC Claimable logo

Instructor

Loading...
Mohammed Al-Obaydee Trainer Teaching

Dr. Mohammed Al-Obaydee is a distinguished trainer, academic, and industry expert with a robust background in computer science and engineering. Born on June 6, 1981, he holds Iraqi nationality and is proficient in Arabic, English, and Malay. Dr. Mohammed Al-Obaydee's academic journey began with a Bachelor’s degree in Electrical and Electronic Engineering from the University of Technology in 2004, followed by a Master’s degree in Computer Science from High Academia for Science and Human Science in 2007. He earned his Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) in 2016. Dr. Mohammed Al-Obaydee has been actively involved in academia as an Adjunct Associate Professor at Taylor’s University Lakeside Campus since August 2022, where he supervises master students and lectures on subjects such as Machine Learning, Parallel Computing, Data Analytics, and Data Engineering. His previous teaching roles include positions at KICT/IIUM and Philadelphia University Jordan, where he taught advanced topics like Advanced Data Structure with C++ and Program Analysis Techniques. In addition to his academic endeavors, Dr. Mohammed Al-Obaydee is a seasoned professional trainer certified by HRD Corp. He has delivered numerous training sessions on Data Science and Analytics as well as Applied AI Engineering at institutions like Brickfields Asia College/Veritas University College since September 2020. His expertise extends to industry projects such as building customer segmentation models for Amway Malaysia and providing training consultations for major corporations like OCBC Bank, HSBC Bank, Hitech Padu, EtiQa, and DELL Malaysia. Dr. Mohammed Al-Obaydee is also an accomplished researcher with several publications to his name, including award-winning papers presented at international conferences like ACSAT2014 and ITNG 2023. His research interests focus on machine vision inspection using combined global and local features, MRI medical image classification using deep learning techniques, and information overload effects. As the founder of INNOEYETIVE and AIC4ALL, Dr. Mohammed Al-Obaydee leverages AI and immersive technologies to enhance digital marketing strategies and educational experiences globally. His leadership roles extend to being the Head of IT and Marketing Department at Yallelite LTD in the UK since May 2019 and leading the Multimedia Department at Al-Wariseen Trust in Malaysia since July 2009. With over two decades of experience spanning academia, industry training, research supervision, and entrepreneurial ventures, Dr. Mohammed Al-Obaydee continues to make significant contributions to the fields of data science, artificial intelligence, machine learning, big data analytics, and immersive technology.

5 Courses
English

Minimum Qualification

undergraduate

Target Audience

entry level
mid level managers
senior managers

Methodologies

lecture
slides
case studies
group assignment
labs
group discussion
q&A
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