Business Analytics with R - Master Data Analysis & Predictive Models
Master the art of transforming data into actionable insights with our Business Analytics with R course. Dive into data handling techniques, statistics fundamentals and predictive modeling for a robust analytical skill set. Enroll now for an immersive learning experience featuring practical case studies.
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Corporate Pricing
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Training Provider Pricing
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Features
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What you'll learn
- Learn about different types of analytics and their application in various business domains
- Develop proficiency in creating predictive models using linear regression analysis
- Explore advanced topics such as ANOVA and multicollinearity in multiple regression contexts
- Gain practical experience through case studies and hands-on exercises
- Acquire skills in summarizing data sets using measures of central tendency and variability
- Apply statistical knowledge to perform hypothesis testing and construct confidence intervals
- Understand the distinction between business analytics and traditional analysis
- Grasp fundamental statistical concepts including probability distributions and the Central Limit Theorem
Why should you attend?
Our comprehensive Business Analytics with R course is designed to equip learners with the essential knowledge and skills needed to excel in the dynamic field of business analytics. Through carefully curated content, students will explore the core concepts of business analytics, distinguishing it from traditional analysis, and understand its significance in driving business decisions and strategies. The course delves into various types of analytics, highlighting their application across different business domains and addressing common challenges faced by organizations. Learners will examine real-world examples to contextualize theoretical principles. A deep dive into data handling prepares participants to manage datasets effectively, covering aspects such as population versus sample, data variables, summarization techniques, measures of central tendency, variability, symmetry, skewness, collection methods, dictionaries, outlier treatment, and missing value imputation. Building on this foundation, the course introduces basic statistical concepts including probability theory, random variables, probability distributions, the Central Limit Theorem, sampling, statistical inference, confidence intervals, and hypothesis testing. Advanced modules focus on predictive modeling using linear regression and logistic regression. Key topics such as covariance and correlation coefficient analysis, multiple regression techniques including ANOVA (Analysis of Variance), multicollinearity concerns are addressed alongside practical applications like gains charts and Gini coefficients. The curriculum culminates in hands-on exercises and case studies that allow learners to apply their knowledge in real-world scenarios.
Course Syllabus
Day 1
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Ratings and Reviews
Instructor
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
FAQ
Frequently Asked Questions About This Course
Courses you may like
Why should you attend?
Our comprehensive Business Analytics with R course is designed to equip learners with the essential knowledge and skills needed to excel in the dynamic field of business analytics. Through carefully curated content, students will explore the core concepts of business analytics, distinguishing it from traditional analysis, and understand its significance in driving business decisions and strategies. The course delves into various types of analytics, highlighting their application across different business domains and addressing common challenges faced by organizations. Learners will examine real-world examples to contextualize theoretical principles. A deep dive into data handling prepares participants to manage datasets effectively, covering aspects such as population versus sample, data variables, summarization techniques, measures of central tendency, variability, symmetry, skewness, collection methods, dictionaries, outlier treatment, and missing value imputation. Building on this foundation, the course introduces basic statistical concepts including probability theory, random variables, probability distributions, the Central Limit Theorem, sampling, statistical inference, confidence intervals, and hypothesis testing. Advanced modules focus on predictive modeling using linear regression and logistic regression. Key topics such as covariance and correlation coefficient analysis, multiple regression techniques including ANOVA (Analysis of Variance), multicollinearity concerns are addressed alongside practical applications like gains charts and Gini coefficients. The curriculum culminates in hands-on exercises and case studies that allow learners to apply their knowledge in real-world scenarios.
What you'll learn
- Learn about different types of analytics and their application in various business domains
- Develop proficiency in creating predictive models using linear regression analysis
- Explore advanced topics such as ANOVA and multicollinearity in multiple regression contexts
- Gain practical experience through case studies and hands-on exercises
- Acquire skills in summarizing data sets using measures of central tendency and variability
- Apply statistical knowledge to perform hypothesis testing and construct confidence intervals
- Understand the distinction between business analytics and traditional analysis
- Grasp fundamental statistical concepts including probability distributions and the Central Limit Theorem
Course Syllabus
Day 1
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
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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