Data Analytics in Finance: Machine Learning & Big Data Course
Master the art of Data Analytics in Finance with our comprehensive course. Dive deep into supervised and unsupervised learning, neural networks, machine learning classification techniques, big data applications in fintech industries such as fraud detection and credit ratings. Transform your career by unlocking powerful insights from financial data.
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What you'll learn
- Develop expertise in neural networks and extreme gradient boosting.
- Acquire skills in predictive analytics and sentiment analysis within fintech sectors.
- Understand and apply various supervised learning regression techniques.
- Learn logistic regression and support vector machines for classification problems.
- Explore unsupervised learning techniques including clustering and factor analysis.
- Master non-parametric regression methods for financial data analysis.
- Gain practical knowledge of deep learning applications in finance.
- Implement reinforcement learning strategies for real-world financial scenarios.
Why should you attend?
Data Analytics in Finance is a transformative course designed to equip learners with cutting-edge techniques and tools essential for navigating the complex world of financial data. The course delves into Supervised Learning Regressions, exploring both parametric methods like Lasso, Ridge, and Elastic Net, as well as non-parametric approaches including Loess and K-Nearest Neighbor. Learners will gain proficiency in advanced algorithms such as Neural Networks and Extreme Gradient Boosting. The curriculum also encompasses Supervised Learning Classification, covering Logistic Regression, Support Vector Machines, Decision Trees, Random Forests, and Hidden Markov Models. Unsupervised learning sessions introduce Clustering and Factor Analysis, while Deep and Reinforcement Learning modules focus on Multi-Layer Perceptrons, Long Short-Term Memory networks, Convolutional Neural Networks, and Reinforcement Learning strategies. Lastly, the course addresses the practical application of Big Data in Fintech companies with an emphasis on Predictive Analytics, Sentiment Analysis, Financial Fraud detection, Credit Ratings assessments, Estimation Techniques, Robustness and Optimization Techniques for Modern Data Analysis. It concludes with insights into Sentiment Analysis and High Frequency Trading applications.
Course Syllabus
Day 1 - Supervised Learning Methods
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Advanced ML Applications
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
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
Course Reviews
"As a data scientistI was astounded by the instructor and the course material. This course is suggested for those who want to learn more about data analytics, as not all colleges give us this information. The instructor, in particular, was well-educated in his profession."
"The course and class were dynamic and full of examples. The instructor, with his solid academic background and commercial experience, as well as his level of confidence and intellect, struck me as a highly promising and successful person in world of data."
"The course and instructor are excellent. I am excited to learn from him again. This course is highly recommended for data analysts."
Instructor Reviews
Tasmeea Rahman
Data Analytics & Engineering Training Specialist"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."
"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."
"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."
FAQ
Frequently Asked Questions About This Course
Courses you may like
Why should you attend?
Data Analytics in Finance is a transformative course designed to equip learners with cutting-edge techniques and tools essential for navigating the complex world of financial data. The course delves into Supervised Learning Regressions, exploring both parametric methods like Lasso, Ridge, and Elastic Net, as well as non-parametric approaches including Loess and K-Nearest Neighbor. Learners will gain proficiency in advanced algorithms such as Neural Networks and Extreme Gradient Boosting. The curriculum also encompasses Supervised Learning Classification, covering Logistic Regression, Support Vector Machines, Decision Trees, Random Forests, and Hidden Markov Models. Unsupervised learning sessions introduce Clustering and Factor Analysis, while Deep and Reinforcement Learning modules focus on Multi-Layer Perceptrons, Long Short-Term Memory networks, Convolutional Neural Networks, and Reinforcement Learning strategies. Lastly, the course addresses the practical application of Big Data in Fintech companies with an emphasis on Predictive Analytics, Sentiment Analysis, Financial Fraud detection, Credit Ratings assessments, Estimation Techniques, Robustness and Optimization Techniques for Modern Data Analysis. It concludes with insights into Sentiment Analysis and High Frequency Trading applications.
What you'll learn
- Develop expertise in neural networks and extreme gradient boosting.
- Acquire skills in predictive analytics and sentiment analysis within fintech sectors.
- Understand and apply various supervised learning regression techniques.
- Learn logistic regression and support vector machines for classification problems.
- Explore unsupervised learning techniques including clustering and factor analysis.
- Master non-parametric regression methods for financial data analysis.
- Gain practical knowledge of deep learning applications in finance.
- Implement reinforcement learning strategies for real-world financial scenarios.
Course Syllabus
Day 1 - Supervised Learning Methods
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Advanced ML Applications
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Course Reviews
"As a data scientistI was astounded by the instructor and the course material. This course is suggested for those who want to learn more about data analytics, as not all colleges give us this information. The instructor, in particular, was well-educated in his profession."
"The course and class were dynamic and full of examples. The instructor, with his solid academic background and commercial experience, as well as his level of confidence and intellect, struck me as a highly promising and successful person in world of data."
"The course and instructor are excellent. I am excited to learn from him again. This course is highly recommended for data analysts."
Instructor Reviews
Tasmeea Rahman
Data Analytics & Engineering Training Specialist"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."
"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."
"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."
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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