Certificate Program in Financial Analytics Course
- Get Trained by Trainers from ISB, IIT & IIM
- 24 Hours of Intensive Classroom & Online Sessions
- 8+ hours of Self-Paced session
- 24+ Industry Use Cases from Financial Analytics
- Receive Certificate from Technology Leader - IBM
- Blockchain enabled tamper-proof security certificate
Financial Analytics Training Programme Overview
The Certification Program in Financial Analytics is a sui generis attempt to blend Machine Learning solutions for traditional finance problems. Specifically designed to suit the financial service industry (FSI) professionals, it may also add value to data professionals. According to this Bloomberg article, through Natural Language Processing techniques JPMC software reviewed legal documents in seconds what lawyers took 360,000 hours to do! This is one of the many incredible examples of machine learning and artificial intelligence in the Finance Industry. Understanding the applications of Data Science, Machine Learning to FSI will be the prime objective of this content-rich program. Having a deep appreciation for Financial Analytics is imperative for the success of various Banks, Insurance Firms and Financial Institutions at large.
Financial Analytics Certificate Learning Outcomes
360DigiTMG in Malaysia offers the best training in Financial Analytics. This course will help individuals to boost their career in the Financial sector. The course is trained by highly experienced professionals and assistance is given by a dedicated team of mentors. This course is designed perfectly to meet the requirements of students and working professionals. This is one of the best courses for those who want to reach heights in their career and grab lucrative opportunities. This course will enhance the required skills as per the market trends. A lot of emphases is given on important topics such as Financial Risk Analytics using Time series forecasting, various kinds of Analytics, Applications of Data Optimization, and many more. The concepts are dealt with real-time use cases so that the students can understand the exact work environment.
Block Your Time
Classroom & Online Sessions
Who Should Sign Up?
- Financial Analysts
- CFO/Director/Head of Finance
- Business Analysts
- Data Analysts
- Risk Managers
- Certified Financial Analysts
- Credit Analysts
- Financial Advisors
- Math, Science and Commerce Graduates
Financial Analytics Course Modules
Financial Analytics course in Malaysia is delivered by 360DigiTMG, the best training institute in Malaysia. The modules of the course are finely designed to meet industry trends. This course helps students to achieve their goals and accomplish their dreams. Financial Analytics course modules cover all the important concepts which are beneficial for the students to be the much-needed workforce. In these modules, students will understand the various sectors and domains within the FSI industry. Understand terminologies, Data Analytics, and its applications in Banking, Finance, and other sectors. Learn Financial Analytics related to Data Science, Machine Learning, and Artificial Intelligence. Learn in-depth various concepts such as Capital Allocation Line and Optimal Portfolio. Students will learn the preliminaries of Data Optimization and Data Simulation. Hands-on experience with real projects will guide students to acquire knowledge on concepts like Monte Carlo method of pricing, European call options, Connected Banks, Fly-in Financial Markets, Open banking, and Data Sharing. The other modules of the course will emphasize topics such as mean standard deviation, mean-variance, frontier, etc. Students will also learn about Rasa NLU. This course will ensure that students will be updated with the latest developments and innovations in the field of Financial Analytics.
Get about, CRISP - ML(Q) the perfect Project Management Methodology used for handling Data Mining projects. Understand the entire process flow including Business Problem definition, Data Collection, Data Cleansing, Feature Engineering, Feature Selection, Model Building, Deployment and Maintenance. Get introduced to the principles of big data and learn about the opportunities being created. Understand about how Data is generation and explosion of data, Innovations in the space of analytics. Learn how to distinguish between data types, Exploratory data analysis, the Various moments of Business decisions and various Graphical techniques. Learn about probability and probability distribution namely Z distribution and Student's t-distribution.
Learn about Hypothesis testing, the many Hypothesis testing Statistics, work with the Null Hypothesis & Alternative hypothesis and Types of hypothesis testing. Interpret the results of Hypothesis test and probabilities of Alpha error, understand Type I and Type II errors. Get introduced to Linear regression, various components of Linear regression viz regression line, Linear regression equation, the concept of Ordinary Least Square. Get introduced to Linear regression analysis, and Linear regression examples
Understand the Linear regression in a multivariate scenario, understand collinearity and how to deal with it. Get introduced to the analysis of Attribute Data, understand the principles of Logistic regression, Binary Logistic regression analysis. Learn about the Multiple Logistic regression, Probability measures, and its interpretation. Get clarity on the confusion matrix and its elements. Get introduced to “Cut off value” estimation using AUC and ROC curve, understand False Positive Rate, False Negative Rate, Sensitivity, Specificity. Gain a birds-eye view to various advanced regression techniques and analysis of count data namely Poisson regression, Negative binomial regression. Learn when to use Poisson regression and negative binomial regression for predicting count data.
Understand about the various sectors and domains with FSI industry. Basic terminologies of Finance Management course to ensure everyone comes up to speed. World overview of challenges faced by companies in FSI. Understand about Data Analytics applications in Stock Market Investments, Banking, Financial Advisory and Management, Electronic Payment Services, etc.
Learn about Financial Data Analytics with respect to Data Science in FSI, Machine Learning in FSI, AI in FSI, etc. Key areas in finance where AI is applicable would be discussed, namely about, Algorithmic Stock Trading, Automated Robo-Advisors, Fraud Detection and Prevention.
Learn about the preliminaries of Data Optimization & Data Simulation which serves as a good reference for people to understand the core Financial Analytics concepts. Learn on solving Linear Programming problems using Simplex techniques, Duality and Sensitivity Analysis.
Understand about investments, how to trade consumption across time, a trade-off between risk and return, decision making under uncertainty, indifference curves, quadratic utility function, etc.
Understand about Capital Allocation Line (CAL) and Optimal Portfolio. Learn about Lending and Borrowing on the CAL, highest utility allocation, feasible set of investment opportunities, optimal allocation, analysis using indifference curves, etc.
Understand about portfolio math, diversification in action by taking an example of two risky assets, mean-standard deviation diagram, mean-variance frontier, efficient frontier, two funds separation, constraints on investment, diversification in well-diversified portfolios, tangency, MVE, etc.
Features of Markowitz analysis, expected returns from historical averages, efficient frontier, resampling based on simulation, estimation error, means and covariances, asset pricing models, market portfolio, pricing model, security market line, equilibrium, disequilibrium, full equilibrium, BU & TU price determination, Beta value etc.
Understand about various European Call Options and application of Monte Carlo method of pricing the option to demonstrate the equivalence with the Black-Scholes formula. Learn about the Monte Carlo method, which will enable us to price options that are not the plain vanilla European calls or puts.
Learn on Predictive modelling for Stock Market Movement, Detecting Financial Statements Fraud, Personal Loan default prediction model, Credit Score prediction model, Credit Card fraud detection model, etc. Understand about the importance of interpretation in FSI industry and emphasis of regulatory bodies on the same.
Learn on how to automatically scan the document and find sections of first name, last name, etc., and then place it in a structured database, thereby reducing the human intervention. Learn on how to rest the bank password automatically using AI-driven chatbot – Rasa NLU.
Learn about various regulatory bodies such as Basel III, SEC, SROs, GLBAct, etc. Also learn about GDPR Act, safeguarding PII and many more regulatory norms laid down for various countries. Understand about difference between data security and data privacy. Understand about Connected Banks, Fly-in Financial Markets, Financial Asset Exchange, Open Banking and Data Sharing.
Financial Analytics Course Trends in Malaysia
Digitalization and automation are giving many flexible options in the Banking and Financial sectors in Malaysia. 67% of banks are thriving to transform digitally by 2020. Several banking services have moved to online mode in few years, and this step has impacted a lot in every aspect of Banking and Financial Services in the country of Malaysia from the development of products to departments of compliance and contact centers. Virtual banking is going to become a reality very soon. E-wallets are in the developing stage. For semi-cashless systems, WeChat Pay MY with the support of the government initiated many programs. Banks are very much open to create internal tech teams that include Analytics, User interface, and experts to digitalize internal processes and services. Cloud-based financial services are booming and are great in demand.
It provides many benefits such as scalability, speed of deployment, available at 24/7, less maintenance, and low installation costs. Many Financial Analytics providers are merging with big cloud service providers such as AWS, IBM, and Google for enhancing their customer base and improving their potentials. The adoption of Artificial Intelligence in the Financial sector can significantly result in building trust, resilience, and accuracy. Various verticals are depending on Artificial Intelligence and Machine Learning operations to strengthen their compliance frameworks, enhance their investment decision-making processes, and quick fraud detection skills. The advanced analysis produced by Artificial Intelligence and Machine Learning solutions would increase portfolio management processes and drive profits.
Practical Data Analytics: Work-Integrated Learning Course
Dive deep into analytics and transform your career in just 6 months.
Elevate your data insights and seamlessly transition from learning to working.
- Work-Integrated Learning: Transition from learning to working in 6 Months - 30 days
- Tackle 3 Industry-specific real-time projects to refine and showcase your skills
- Secure 100 hours of credible working experience in data analytics
- HRDC claimable and 6 months instalments available
Offer ends:9th Dec,2023
How We Prepare You
Additional Assignments of over 60+ hours
Live Free Webinars
Resume and LinkedIn Review Sessions
6 Months LMS Access
Job Placements in Financial Analytics Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Life Time Free Access to Industry Webinars
Call us Today!