Business Analytics with R

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.

Face-to-Face Sep 22, 2025 9:00 AM - 5:00 PM Tarun Sukhani
updated
intermediate
Business Analytics with R
We price match

Public Pricing

MYR 1750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 6500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800
Material Fees: MYR 600
Total Fees: MYR 3400

Features

1 day
7 modules
10 intakes
English

Subsidies

HRDC Claimable logo

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 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

Instructor

Loading...
Tarun Sukhani Founder & CTO Teaching

Tarun Sukhani is a distinguished professional trainer and consultant with nearly 30 years of experience in the IT and business sectors, having worked internationally across AMER, APAC, and EMEA. His expertise spans a wide array of domains such as Agile methodologies (Scrum, SAFe, Kanban), enterprise architecture frameworks like TOGAF and COBIT, IT service management standards including ITIL and ISO27001, as well as cybersecurity certifications like CISO and CISSP. Tarun's proficiency extends to project management frameworks such as PRINCE2 and PMP, along with cutting-edge technologies in Big Data analytics using Hadoop and Spark, data science with Python or R, and data visualization tools like Tableau. Tarun has held numerous senior development and executive roles including CIO/CTO positions where he managed large-scale IT operations for multinational corporations such as Dell, AMD, and Experian. His leadership skills have been instrumental in enhancing business operations across various functions including HR, Finance, Operations, Sales, Risk Management, Engineering/Manufacturing, and Accounting. He has also contributed significantly to regional conglomerates like Indra in the Asia Pacific region. A passionate educator at heart, Tarun has facilitated training workshops throughout Asia Pacific countries such as Malaysia, Indonesia, Philippines, Thailand, and Singapore. His training sessions cover a broad spectrum of topics from project management to strategic leadership and soft skills development. Additionally, he specializes in advanced technical subjects like software architecture design patterns for reactive microservices architectures on cloud platforms. Tarun's academic credentials are equally impressive; he graduated summa cum laude with an MSc in Information Systems and an MBA in Finance and Operations Management from Loyola University Chicago. He holds multiple Bachelor's degrees in Biology, Math & Computer Science alongside Business Administration. Further enriching his knowledge base are certifications as an Agile/Scrum trainer; Java/.NET programmer; Machine Learning specialist; InfoSec expert; Business Intelligence professional; complemented by advanced studies in AI & Blockchain from prestigious institutions like MIT & Stanford. His client portfolio includes renowned organizations such as Western Digital/Sandisk for machine learning product management projects; Singtel & CIMB for agile product development initiatives; Tenaga Nasional & JPJ for agile project management engagements among others. Tarun's dynamic approach combined with his deep-rooted passion for developing people makes him a sought-after speaker at international conferences where he shares insights on digital transformation strategies.

20 Students
241 Courses
English, Malay, Spanish

Instructor

Loading...
Uzair Aslam Data Scientist & Corporate Trainer Teaching

Uzair Aslam is a distinguished Data Scientist with an impressive track record, demonstrating a profound ability to derive insightful information from vast datasets. Starting his career in Islamabad as a Product Marketing Lead for Huaxin Technomen International, Uzair successfully merged analytical skills with strategic marketing, securing significant military contracts. His journey into data science began as a Machine Learning Intern at Maxis Telecom in Kuala Lumpur, where he excelled in model development for extracting customer points of interest and designing effective Named Entity Recognition (NER) models. Elevating his career to Senior Data Scientist roles, Uzair showcased his exceptional skillset at Maybank by pioneering a machine learning-based fraud detection model that notably enhanced efficiency and reduced false positives. His innovative approach, combining computer vision with natural language processing, streamlined document analysis and anomaly detection processes. Uzair's leadership in developing a sophisticated news web-scraping app and the C-insight Risk Reporting Dashboard further underscores his capacity to leverage technology in addressing complex business challenges. With extensive experience training corporate clients on cutting-edge data science topics and holding multiple certifications, Uzair exemplifies a blend of technical mastery and practical application in real-world scenarios.

5 Courses
English
9 Years

Instructor

Loading...
Hadia Yousaf Data Scientist Not Teaching

Hadia Yousaf is a highly experienced IT trainer with an extensive background in Statistics, Research, Business Administration, Banking, Finance, and Economics. Currently working as a Data Scientist and Data Science Trainer, Hadia has developed expertise in Python, SQL, Machine Learning related to Business Analytics and Big Data Analytics Data Visualisation. She has proven experience working with large data sets and analytic tools, showcasing her capabilities in Statistical Analysis using Time Series and Panel Data, statistical modeling, and Machine Learning. Hadia is a HRDF Certified Trainer (TTT) and Virtual Learn Caster (VLC), certified from Malaysia. She boasts of a diverse career path which includes 2 years as a Data Scientist/Data Science Trainer, 8 years of research work as a PhD researcher, 3 years as a Senior Banking Services Officer at Allied Bank Ltd., Pakistan, 1 year as an IT Intern under the Pakistan Government Internship Program and 1 year of teaching experience as a Course Instructor. Her current role at The Center of Applied Data Science involves creating data pipelines to collect, clean, normalise and load data for statistical analysis and hypothesis testing. With an expected Ph.D. in Industrial & Development Economics from Universiti Utara Malaysia by December 2022, Hadia's academic journey also includes an MBA in Banking & Finance and a Bachelor's degree in Information Technology. Her profound understanding of statistical and machine learning concepts combined with high standard coding practices positions her as an accomplished professional in the field. As a dedicated professional willing to work remotely or travel abroad, she prides herself on her excellent English language skills.

27 Courses

Minimum Qualification

undergraduate

Target Audience

students
entry level
engineers

Methodologies

lecture
slides
case studies
labs
group discussion
q&A

FAQs

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 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
We price match

Public Pricing

MYR 1750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 6500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800
Material Fees: MYR 600
Total Fees: MYR 3400

Features

1 day
7 modules
10 intakes
English

Subsidies

HRDC Claimable logo

Instructors

Loading...
Tarun Sukhani Founder & CTO Teaching

Tarun Sukhani is a distinguished professional trainer and consultant with nearly 30 years of experience in the IT and business sectors, having worked internationally across AMER, APAC, and EMEA. His expertise spans a wide array of domains such as Agile methodologies (Scrum, SAFe, Kanban), enterprise architecture frameworks like TOGAF and COBIT, IT service management standards including ITIL and ISO27001, as well as cybersecurity certifications like CISO and CISSP. Tarun's proficiency extends to project management frameworks such as PRINCE2 and PMP, along with cutting-edge technologies in Big Data analytics using Hadoop and Spark, data science with Python or R, and data visualization tools like Tableau. Tarun has held numerous senior development and executive roles including CIO/CTO positions where he managed large-scale IT operations for multinational corporations such as Dell, AMD, and Experian. His leadership skills have been instrumental in enhancing business operations across various functions including HR, Finance, Operations, Sales, Risk Management, Engineering/Manufacturing, and Accounting. He has also contributed significantly to regional conglomerates like Indra in the Asia Pacific region. A passionate educator at heart, Tarun has facilitated training workshops throughout Asia Pacific countries such as Malaysia, Indonesia, Philippines, Thailand, and Singapore. His training sessions cover a broad spectrum of topics from project management to strategic leadership and soft skills development. Additionally, he specializes in advanced technical subjects like software architecture design patterns for reactive microservices architectures on cloud platforms. Tarun's academic credentials are equally impressive; he graduated summa cum laude with an MSc in Information Systems and an MBA in Finance and Operations Management from Loyola University Chicago. He holds multiple Bachelor's degrees in Biology, Math & Computer Science alongside Business Administration. Further enriching his knowledge base are certifications as an Agile/Scrum trainer; Java/.NET programmer; Machine Learning specialist; InfoSec expert; Business Intelligence professional; complemented by advanced studies in AI & Blockchain from prestigious institutions like MIT & Stanford. His client portfolio includes renowned organizations such as Western Digital/Sandisk for machine learning product management projects; Singtel & CIMB for agile product development initiatives; Tenaga Nasional & JPJ for agile project management engagements among others. Tarun's dynamic approach combined with his deep-rooted passion for developing people makes him a sought-after speaker at international conferences where he shares insights on digital transformation strategies.

20 Students
241 Courses
English, Malay, Spanish
Loading...
Uzair Aslam Data Scientist & Corporate Trainer Teaching

Uzair Aslam is a distinguished Data Scientist with an impressive track record, demonstrating a profound ability to derive insightful information from vast datasets. Starting his career in Islamabad as a Product Marketing Lead for Huaxin Technomen International, Uzair successfully merged analytical skills with strategic marketing, securing significant military contracts. His journey into data science began as a Machine Learning Intern at Maxis Telecom in Kuala Lumpur, where he excelled in model development for extracting customer points of interest and designing effective Named Entity Recognition (NER) models. Elevating his career to Senior Data Scientist roles, Uzair showcased his exceptional skillset at Maybank by pioneering a machine learning-based fraud detection model that notably enhanced efficiency and reduced false positives. His innovative approach, combining computer vision with natural language processing, streamlined document analysis and anomaly detection processes. Uzair's leadership in developing a sophisticated news web-scraping app and the C-insight Risk Reporting Dashboard further underscores his capacity to leverage technology in addressing complex business challenges. With extensive experience training corporate clients on cutting-edge data science topics and holding multiple certifications, Uzair exemplifies a blend of technical mastery and practical application in real-world scenarios.

5 Courses
English
9 Years
Loading...
Hadia Yousaf Data Scientist Not Teaching

Hadia Yousaf is a highly experienced IT trainer with an extensive background in Statistics, Research, Business Administration, Banking, Finance, and Economics. Currently working as a Data Scientist and Data Science Trainer, Hadia has developed expertise in Python, SQL, Machine Learning related to Business Analytics and Big Data Analytics Data Visualisation. She has proven experience working with large data sets and analytic tools, showcasing her capabilities in Statistical Analysis using Time Series and Panel Data, statistical modeling, and Machine Learning. Hadia is a HRDF Certified Trainer (TTT) and Virtual Learn Caster (VLC), certified from Malaysia. She boasts of a diverse career path which includes 2 years as a Data Scientist/Data Science Trainer, 8 years of research work as a PhD researcher, 3 years as a Senior Banking Services Officer at Allied Bank Ltd., Pakistan, 1 year as an IT Intern under the Pakistan Government Internship Program and 1 year of teaching experience as a Course Instructor. Her current role at The Center of Applied Data Science involves creating data pipelines to collect, clean, normalise and load data for statistical analysis and hypothesis testing. With an expected Ph.D. in Industrial & Development Economics from Universiti Utara Malaysia by December 2022, Hadia's academic journey also includes an MBA in Banking & Finance and a Bachelor's degree in Information Technology. Her profound understanding of statistical and machine learning concepts combined with high standard coding practices positions her as an accomplished professional in the field. As a dedicated professional willing to work remotely or travel abroad, she prides herself on her excellent English language skills.

27 Courses

Minimum Qualification

undergraduate

Target Audience

students
entry level
engineers

Methodologies

lecture
slides
case studies
labs
group discussion
q&A

FAQs

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