Data Analytics for Commercial and Retail Banking Course
Master the art of Data Analytics in the dynamic field of Commercial and Retail Banking. Join our immersive course designed to equip you with cutting-edge analytical skills. Transform raw data into strategic insights that drive financial success.
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What you'll learn
- Understand the impact of Data Analytics on customer behavior prediction and cost efficiency in banking.
- Perform Customer Segmentation with advanced clustering and classification techniques.
- Acquire expertise in Data Visualization to create compelling dashboards and storyboards with Tableau.
- Analyze real-world case studies to understand the application of Data Analytics in banking scenarios.
- Learn about Data Quality management and database selection (SQL vs. NoSQL) for banking applications.
- Navigate through setting up a comprehensive Data Architecture including ingestion tools and data lakes.
- Develop skills in Predictive Analytics with practical exercises in Python & R for decision-making.
- Gain proficiency in Exploratory Data Analysis using statistical distributions and fitting linear models.
Why should you attend?
Data Analytics is transforming the commercial and retail banking landscape by enabling institutions to predict customer behavior, improve cost efficiency, and foster innovation. This course delves into the utilization of analytics within the banking sector, exploring foundational concepts such as data processing and quality, SQL vs. NoSQL databases, and the nuances of exploratory data analysis including statistical distributions and linear modeling. Learners will gain hands-on experience with predictive analytics using Python & R, understanding techniques like decision trees, collaborative filtering, and neural networks for churn modeling. The intricacies of customer segmentation using advanced clustering and classification methods are also covered. Moreover, participants will learn to effectively present their findings through data visualization with tools like Tableau and will be guided through setting up robust data architectures incorporating modern technologies like Nifi and Hadoop. Practical case studies provide real-world insights into how data analytics drives business decisions in banking.
Course Syllabus
Day 1 - Banking Analytics Fundamentals
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 Analytics Implementation
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
Instructor
FAQ
Frequently Asked Questions About This Course
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Why should you attend?
Data Analytics is transforming the commercial and retail banking landscape by enabling institutions to predict customer behavior, improve cost efficiency, and foster innovation. This course delves into the utilization of analytics within the banking sector, exploring foundational concepts such as data processing and quality, SQL vs. NoSQL databases, and the nuances of exploratory data analysis including statistical distributions and linear modeling. Learners will gain hands-on experience with predictive analytics using Python & R, understanding techniques like decision trees, collaborative filtering, and neural networks for churn modeling. The intricacies of customer segmentation using advanced clustering and classification methods are also covered. Moreover, participants will learn to effectively present their findings through data visualization with tools like Tableau and will be guided through setting up robust data architectures incorporating modern technologies like Nifi and Hadoop. Practical case studies provide real-world insights into how data analytics drives business decisions in banking.
What you'll learn
- Understand the impact of Data Analytics on customer behavior prediction and cost efficiency in banking.
- Perform Customer Segmentation with advanced clustering and classification techniques.
- Acquire expertise in Data Visualization to create compelling dashboards and storyboards with Tableau.
- Analyze real-world case studies to understand the application of Data Analytics in banking scenarios.
- Learn about Data Quality management and database selection (SQL vs. NoSQL) for banking applications.
- Navigate through setting up a comprehensive Data Architecture including ingestion tools and data lakes.
- Develop skills in Predictive Analytics with practical exercises in Python & R for decision-making.
- Gain proficiency in Exploratory Data Analysis using statistical distributions and fitting linear models.
Course Syllabus
Day 1 - Banking Analytics Fundamentals
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 Analytics Implementation
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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