| COURSE : DATA MINING AND ANALYSIS FOR AUDITORS | |
|---|---|
| Course Overview | Data mining is the process of extracting knowledge hidden in large volumes of data. The data mining tools look for trends or anomalies without knowledge of the meaning of the data. Data anomalies are not necessarily the result of fraud, but can be the result of a range of different factors. In many cases they are caused by faulty data entry, where the user has typed in one value instead of another. Also, errors sometimes are the result of software or hardware malfunctions, resulting in corrupted data. Obviously, such errors can cause considerable damage, which cannot be easily measured but which could be of serious proportions, resulting in direct loss of both income and reputation. In other cases, errors are made intentionally. While many of the applications of data mining concern market analysis and customer retention, there are numerous applications specifically for fraud detection and prevention. It should be emphasized that the user does not normally specify the fields to look for in the relationships; rather, the data mining program reads all of the data and determines if relationships do exist among data fields. |
| Training Duration | Total Training Hours : 30 Hours Training Duration : 1 Week Total Training Days : 5 Working Days |
| Training Schedules | Weekdays (Sunday to Thursday) Regular Sessions : 6 Hrs Per day (9am to 2pm or 3.00pm to 9.00 pm) Food & refreshments Included WeekEnds (Friday & Saturday) Fast Track Sessions: 8 Hours per day (9am to 5pm) Food & refreshments Included |
| Certifications: | 1) Certificate from Laurels Training Institute, Attested by Knowledge & Human Development Authority (KHDA) government of Dubai, UAE OPTIONAL 2) Certificate from American Institute of Professional Studies (AIPS) from USA (After 15 Days of course Completion which will couriered to the attendees office address) |
| Tests | Yes |
| Learning Aids | Yes |
| Course Material | Hard & Soft Copies of Study Material |
| Language of Instruction | English |
| Instructor Helpline | Yes 1. Email 2. Social Media (For Emergency requirements) |
| Registration Requirements | 1. Passport Copy 2. Curriculum Vitae 3. Passport size photographs 4. Course Fee |
| Mode of Payment: | Cash / Cheque / Credit Card / Bank Transfer. |
| Eligibility Criteria (Who should attend this training) |
Open all Audit officers |
| Course Benefits | 1. It is helpful to predict future trends 2. It signifies customer habits 3. Helps in decision making 4. Increase company revenue5. It depends upon market-based analysis 6. Quick fraud detection |
| Course Contents / Outline | Flowcharting the process. Choosing and extracting the data. Understanding the population. Understanding the fields with descriptive statistics. Exploratory data analysis. Choice of analytic methods and alternative approaches. Confirmatory data analysis and finding outliers. Evaluating results evaluation and integrating with traditional findings. Emerging Approaches Predictive analytics. Deep learning. Blockchain/Smart contracts. Text mining. Tools and Information Sources |