Data Science with Julia: Complete Programming & Machine Learning
Master Data Science with Julia through our dynamic course designed for hands-on learning. Dive into the essentials of data manipulation, visualization, machine learning algorithms, and seamless integration with R. Empower your analytical prowess in this cutting-edge program!
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What you'll learn
- Understand the fundamentals of Julia's environment and its interoperability with R.
- Gain expertise in supervised machine learning techniques such as cross-validation and random forests.
- Acquire practical experience in interfacing with R for enhanced data analysis.
- Install a Julia working environment and become proficient in variable management and basic types.
- Develop skills in using functions, tuples, sets, and dictionaries for efficient data handling.
- Explore unsupervised machine learning methods including PCA, k-means clustering, and mixture models.
- Learn to process and clean data while interacting with relational and NoSQL databases.
- Visualize complex datasets effectively using various plotting techniques.
Why should you attend?
This Data Science with Julia course offers a deep dive into the core aspects of Julia, an emerging programming language designed for high-performance numerical analysis and computational science. The curriculum begins by familiarizing students with the Julia environment and its compatibility with R packages, followed by installing a working environment and understanding variables and basic types. As learners progress, they will explore functions, tuples, sets, and dictionaries to manipulate data structures efficiently. The course advances to data processing and cleaning techniques, including interactions with both SQL and NoSQL databases, and introduces linear regression. Participants will also learn to make sense of data through visualization, mastering how to plot arrays, DataFrames, line graphs, scatter plots, and histograms. The training encompasses both supervised and unsupervised machine learning paradigms—covering topics from cross-validation and K-nearest neighbors classification to random forests, principal components analysis (PCA), k-means clustering, and more. Finally, the course concludes with practical guidance on interfacing with R for accessing datasets and leveraging R's statistical capabilities within Julia.
Course Syllabus
Day 1 - Julia Environment Setup
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Variables and Functions
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
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
Courses you may like
Why should you attend?
This Data Science with Julia course offers a deep dive into the core aspects of Julia, an emerging programming language designed for high-performance numerical analysis and computational science. The curriculum begins by familiarizing students with the Julia environment and its compatibility with R packages, followed by installing a working environment and understanding variables and basic types. As learners progress, they will explore functions, tuples, sets, and dictionaries to manipulate data structures efficiently. The course advances to data processing and cleaning techniques, including interactions with both SQL and NoSQL databases, and introduces linear regression. Participants will also learn to make sense of data through visualization, mastering how to plot arrays, DataFrames, line graphs, scatter plots, and histograms. The training encompasses both supervised and unsupervised machine learning paradigms—covering topics from cross-validation and K-nearest neighbors classification to random forests, principal components analysis (PCA), k-means clustering, and more. Finally, the course concludes with practical guidance on interfacing with R for accessing datasets and leveraging R's statistical capabilities within Julia.
What you'll learn
- Understand the fundamentals of Julia's environment and its interoperability with R.
- Gain expertise in supervised machine learning techniques such as cross-validation and random forests.
- Acquire practical experience in interfacing with R for enhanced data analysis.
- Install a Julia working environment and become proficient in variable management and basic types.
- Develop skills in using functions, tuples, sets, and dictionaries for efficient data handling.
- Explore unsupervised machine learning methods including PCA, k-means clustering, and mixture models.
- Learn to process and clean data while interacting with relational and NoSQL databases.
- Visualize complex datasets effectively using various plotting techniques.
Course Syllabus
Day 1 - Julia Environment Setup
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Variables and Functions
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
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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