Data Science with R: Complete Programming & Machine Learning Course
Elevate your career with our specialized Data Science program using R. Gain hands-on expertise in data manipulation, analysis techniques and machine learning algorithms through interactive content crafted by industry experts.
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What you'll learn
- Master advanced data manipulation and cleaning techniques in R.
- Build predictive models using regression analysis techniques.
- Develop proficiency in evaluating the performance of machine learning models.
- Grasp the concepts of Data Mining and apply clustering methods.
- Explore various classification algorithms including decision trees and SVMs.
- Learn how to import and handle data from different sources using R.
- Understand the fundamentals of R programming including various data types.
- Perform Exploratory Data Analysis using graphical representations in R.
Why should you attend?
This course offers a deep dive into the multifaceted world of Data Science using the R programming language. It begins with a foundational understanding of R, covering essential topics such as variables, scalars, vectors, matrices, lists, data frames, and factors. Students will learn to manipulate these elements using functions like c(), Cbind(), Rbind(), attach(), and detach(). As the course progresses, participants will master data manipulation techniques including sorting, cleaning, recoding, merging, and applying functions for efficient data analysis. The curriculum then advances to data import techniques where students are taught how to read and write data, execute basic SQL queries in R, and perform web scraping. Exploratory Data Analysis (EDA) is another key component where learners explore various graphical representations like box plots, histograms, pareto charts, pie graphs, line charts, scatterplots, and more to gain insights from data. The course also delves into Data Mining with an emphasis on clustering techniques and both regression & classification methods within Machine Learning. Learners will get hands-on experience with linear regression models including OLS method and its alternatives like Ridge Regression and Lasso. Furthermore, students will explore classification models such as Logistic Regression, Linear Discriminant Analysis (LDA), K-Nearest Neighbors (KNN), Decision Trees along with Maximum Margin Classifiers and Support Vector Machines (SVMs). Each module is designed to build practical skills for preprocessing data, building models in R, tuning hyperparameters, and evaluating model performance.
Course Syllabus
Day 1 - R Fundamentals and EDA
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Regression and Classification
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 ML Algorithms
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
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
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
FAQ
Frequently Asked Questions About This Course
Why should you attend?
This course offers a deep dive into the multifaceted world of Data Science using the R programming language. It begins with a foundational understanding of R, covering essential topics such as variables, scalars, vectors, matrices, lists, data frames, and factors. Students will learn to manipulate these elements using functions like c(), Cbind(), Rbind(), attach(), and detach(). As the course progresses, participants will master data manipulation techniques including sorting, cleaning, recoding, merging, and applying functions for efficient data analysis. The curriculum then advances to data import techniques where students are taught how to read and write data, execute basic SQL queries in R, and perform web scraping. Exploratory Data Analysis (EDA) is another key component where learners explore various graphical representations like box plots, histograms, pareto charts, pie graphs, line charts, scatterplots, and more to gain insights from data. The course also delves into Data Mining with an emphasis on clustering techniques and both regression & classification methods within Machine Learning. Learners will get hands-on experience with linear regression models including OLS method and its alternatives like Ridge Regression and Lasso. Furthermore, students will explore classification models such as Logistic Regression, Linear Discriminant Analysis (LDA), K-Nearest Neighbors (KNN), Decision Trees along with Maximum Margin Classifiers and Support Vector Machines (SVMs). Each module is designed to build practical skills for preprocessing data, building models in R, tuning hyperparameters, and evaluating model performance.
What you'll learn
- Master advanced data manipulation and cleaning techniques in R.
- Build predictive models using regression analysis techniques.
- Develop proficiency in evaluating the performance of machine learning models.
- Grasp the concepts of Data Mining and apply clustering methods.
- Explore various classification algorithms including decision trees and SVMs.
- Learn how to import and handle data from different sources using R.
- Understand the fundamentals of R programming including various data types.
- Perform Exploratory Data Analysis using graphical representations in R.
Course Syllabus
Day 1 - R Fundamentals and EDA
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Regression and Classification
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 ML Algorithms
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
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.
FAQ
Frequently Asked Questions About This Course
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