Certificate Program in

Data Science for Financial Analytics & Auditors

Leverage the power of Data Analytics and Artificial Intelligence to detect and analyse fraudulent transactions in the realm of Finance and Accounting with our Data Science for Financial Analytics & Auditors programme.

Get Trained by Trainers from ISB, IIT & IIM
16 Hours of Intensive Classroom & Online Sessions
24+ Hours of Practical Assignments
2 Capstone Live Projects
100% Job Placement Assistance

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Academic Partners & International Accreditations

"Financial Analytics & Auditors are among the top 3 most wanted finance professionals. In Malaysia, the average salary for Financial Analytics & Auditors is RM 38500". The global financial analytics market expected to grow from USD 6.8 billion in 2018 to USD 11.5billion by 2023, at a Compound Annual Growth Rate (CAGR) of 10.7%. Data analytics is considered to be the game-changer in internal audit. It can be applied for planning, risk profiling, and statistical sampling. By Data analytics, identification of frauds would be easy. Internal audit helps to evaluate, identify, control, and monitor the internal operations of a business. In Malaysia, there is a tremendous requirement of professional internal auditors with efficiency in Data Science.

Financial Analytics & Auditors

data science for internal auditors course duration in malaysia - 360digitmg

Total Duration

1 Month

Prerequisites

Computer Skills
Basic Mathematical Concepts
Accounting Basics

Financial Analytics & Auditors Programme Overview

This course intended for Internal Auditors gives an overview of the fraud detection lifecycle and various proactive and reactive approaches to handling fraud in accounting financial transactions. The course also explores futuristic and advanced techniques to detect fraud. The use of Network Analytics and Graph data to identify fraud is explored in great depth. In this course internal auditors and accountants are taught Inferential Analytics, Descriptive Analytics, Hypothesis Testing, Regression Techniques, Feature Extraction, Feature Engineering, Feature Selection, Machine Learning, Text Mining, Natural Language Processing, Time Series Analysis, Forecasting, Black box techniques, and Neural Networks. This will enable auditors and accountants to design fraud detection systems for their enterprises. This is a course that no auditor should overlook.

Financial Analytics & Auditors Learning Outcomes

360DigiTMG offers Financial Analytics and Auditor training for aspiring students and professionals. This course helps students to learn about the innovative technologies in internal auditing and utilize them in improving business operations. Students will understand the fraud analytics life cycle. Learn about various Data Analytics like descriptive and predictive analytics. Will perceive knowledge on detecting frauds by exploring advanced techniques. Through this course, students will be able to take proactive business decisions. This course helps students to develop the skill sets and perform effectively in organizations. Students will have the opportunity to work on real-time projects and gain insights to handle any kind of risk. This course with the latest world-class curriculum will help students in enhancing their talent and gain worthwhile jobs.

Learn about the Accounting domain and responsibilities of Internal Auditor

Develop a deep understanding of Fraud Analytics Lifecycle

Gain a sense of proactive vs reactive approaches to handling fraud

Develop an understanding of descriptive and predictive analytics

Apply network analytics techniques to identify and detect fraud

Explore advanced and futuristic techniques to identify fraud

Perform forecasting to take proactive business decisions

Use data visualization concepts to represent data for easy understanding

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cyber security analytics course in malaysia - 360digitmg

16 hours

Classroom Sessions

24 hours

Assignments &
e-Learning

16 hours

Live Projects

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Who Should Sign Up?

Internal Auditors
CFO/Director/Head of Accounting
Business Analysts
Data Analysts
Banking and Accounting Analysts
Certified Financial Analysts
Credit Analysts
Financial Advisors
Math, Science and Commerce Graduates

Financial Analytics & Auditors Course Modules

The evolution of technology in audit has brought unlimited benefits to financial services. Data analytics, AI, Machine learning, and Big data have contributed much to the development of internal audits helping to face the new challenges. Data Science for Financial Analytics and Internal auditors course is provided by 360DigiTMG in Malaysia. The modules are framed for students to make them explore about Data Science and its applications in financial Analytics. They will be allowed to handle Data Science projects which will guide them to know project management. Financial professionals or students will learn Hypothesis testing, regression techniques, and Machine Learning. Introduction to network analytics and Graph data in identifying fraud. Applications of new technologies like Natural language processing, Block Box techniques, text mining in audits. Able to forecast any emergence of frauds or risks. Students will be exposed to the applications of technological tools to analyze large samples of data, they will be in a position to understand internal processes and can identify risks. Students will be able to build audit strategies and develop new skill sets that help them to excel in their careers.

1. Data Science Foundation Module

1. Data Science – Project Management Methodology

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.

2. Hypothesis Testing and Simple Linear Regression

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

3. Data Science – Multiple Linear Regression, Regression of Attribute & Count Data

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.

2. Data Science for Financial Analytics & Auditors Module

1. Accounting 101

2. What is Data Science for Internal Auditors?

3. Project Management Overview of Handling Data Science Projects

4. Inferential and Descriptive Analytics for Auditors and Accountants

5. Feature Engineering, Feature Extraction, Feature Selection

6. Hypothesis Testing, Regression Techniques

7. Machine Learning for Auditors and Accountants

8. Network Analytics and Graph Data in Identifying Fraud

9. Text Mining, Natural Language Processing and its Applications in Audits

10. High Level Overview of Fraud Analytical Approach

11. Black Box Techniques – Neural Networks, SVM etc.

12. Time Series Analysis/Forecasting

Financial Analytics & Auditors Trends in Malaysia

For every organization, there is a huge requirement of internal audit with essential skills. Let us get to know the latest trends in Internal audits. Every Internal audit must be aware of the potential risks that impact the business. IA should validate the company’s data analysis policy. IA should be capable of predicting the emerging risks and create a roadmap for an efficient privacy policy. As many organizations are experiencing risks by third-party vendors, coz lots of data is being breached leading to reputational damage, penalties, and legal issues.

Organizations introduced effective third party risk management programs to dealing such kind of issues. Internal audits assist in this program by evaluating, validating, detecting, conducting assessments to control any kind of risk. Internal audits will leverage on Data Analytics to get most of it like it reduces time and cost, comprehensive view of the business, identification of risks. As cyber threats are significantly increasing, internal audit plays a vital role in helping organizations by providing data and manage potential cyber threats.