Data Analytics & R Programming for Internal Audit Professionals
Master the art of Data Harvesting and R programming to drive innovation in Internal Audit functions. Our digital marketing-style course offers hands-on experience with data analytics tools and techniques for strategic business enhancements.
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Corporate Pricing
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Training Provider Pricing
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What you'll learn
- Learn to apply descriptive, predictive, and prescriptive analytics within IA
- Understand the role of data analytics in enhancing IA functions
- Explore roles within DA IAG teams & familiarize with big data tools
- Perform customer segmentation using Python & R clustering techniques
- Develop skills to fit linear models and assess overfitting
- Acquire expertise in ARIMA for time series analysis
- Create impactful visualizations with Tableau for insightful dashboards
- Gain proficiency in hypothesis testing and variance analysis using R
Why should you attend?
Data Harvesting and R Essentials is a comprehensive course designed to equip learners with the necessary skills to leverage data analytics within Internal Audit (IA) functions. The curriculum delves into the transformative impact of data analytics on performance, cost, accuracy, and innovation, providing a clear understanding of how these improvements can be achieved through an insight-driven IA model. The course covers various analytical approaches including descriptive, predictive, and prescriptive analytics, as well as the deployment of Data Analytics (DA) through a structured four-phase approach. Participants will engage in hands-on exercises assessing DA maturity, customer segmentation, and creating recommenders using R programming language. Further exploration into hypothesis testing and variance using R will solidify foundational knowledge in statistical methods such as Chi-square, Binomial testing, P and T-testing, as well as ANOVA. The course also emphasizes the application of linear models and regression techniques to fit complex data sets and avoid overfitting. Advanced topics like ARIMA for time series analysis highlight cyclicality, seasonality, and trends crucial for predictive analytics. Through case studies and practical applications in areas like customer segmentation and predictive analytics using Python alongside R, learners will gain insights into clustering and classification techniques essential for identifying potential customers. The course culminates with an emphasis on the roles and responsibilities within DA IAG teams and tools used for big data storage and visualization.
Course Syllabus
Day 1 - Business Case Analytics
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Hands-on R Testing
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Advanced Analytics Applications
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Ratings and Reviews
Instructor
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.
Instructor
Instructor
Instructor
FAQ
Frequently Asked Questions About This Course
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Why should you attend?
Data Harvesting and R Essentials is a comprehensive course designed to equip learners with the necessary skills to leverage data analytics within Internal Audit (IA) functions. The curriculum delves into the transformative impact of data analytics on performance, cost, accuracy, and innovation, providing a clear understanding of how these improvements can be achieved through an insight-driven IA model. The course covers various analytical approaches including descriptive, predictive, and prescriptive analytics, as well as the deployment of Data Analytics (DA) through a structured four-phase approach. Participants will engage in hands-on exercises assessing DA maturity, customer segmentation, and creating recommenders using R programming language. Further exploration into hypothesis testing and variance using R will solidify foundational knowledge in statistical methods such as Chi-square, Binomial testing, P and T-testing, as well as ANOVA. The course also emphasizes the application of linear models and regression techniques to fit complex data sets and avoid overfitting. Advanced topics like ARIMA for time series analysis highlight cyclicality, seasonality, and trends crucial for predictive analytics. Through case studies and practical applications in areas like customer segmentation and predictive analytics using Python alongside R, learners will gain insights into clustering and classification techniques essential for identifying potential customers. The course culminates with an emphasis on the roles and responsibilities within DA IAG teams and tools used for big data storage and visualization.
What you'll learn
- Learn to apply descriptive, predictive, and prescriptive analytics within IA
- Understand the role of data analytics in enhancing IA functions
- Explore roles within DA IAG teams & familiarize with big data tools
- Perform customer segmentation using Python & R clustering techniques
- Develop skills to fit linear models and assess overfitting
- Acquire expertise in ARIMA for time series analysis
- Create impactful visualizations with Tableau for insightful dashboards
- Gain proficiency in hypothesis testing and variance analysis using R
Course Syllabus
Day 1 - Business Case Analytics
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Hands-on R Testing
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Advanced Analytics Applications
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructors
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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FAQ
Frequently Asked Questions About This Course
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