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Home / Analytics Specializations / Data Science for Internal Auditors
Professional Certificate Course in
"76% of companies in Asia-Pacific and Europe employ data analytics in auditing effort." - (Source). Data Science has become the game-changer for the Internal Audit function. More Internal Audit departments are hiring data scientists to streamline internal audit procedures. This is an area of career growth for Data Scientists. Most companies hire a Data Scientist Internal Auditor. Most analytics software uses Artificial Intelligence algorithms to scan multiple transactions and probably thousands of trial balance entries to provide meaningful results of analyses. This obviates the need for multiple auditors during the internal audit process. This course is helpful for learning specific skills that Auditors can leverage that can help them deliver unparalleled quality and coverage thus maximizing business value.
INR 12,000/-
The Data Science for Internal Auditors course is among a unique set of programs that 360DigiTMG is offering in its catalog of Industry-Specific courses. It is handcrafted to suit the needs of internal auditors. Auditors have the critical need to identify areas of fraud in accounting practices, tax filing, etc. According to the Journal of Accountancy, the power of Data Science and Analytics can help auditors improve by enabling them to test on larger (and complete) sets of data vs just test samples, enhanced anomaly detection and provide a comprehensive analysis of the general ledger.The internal audit function can also leverage the power of Data Analytics and Artificial Intelligence to detect and analyze fraudulent transactions in the realm of finance and accounting. In this analytics course for internal auditors, the student journeys through the fraud detection lifecycle and learns various proactive and reactive approaches to handling fraud. The use of Network Analytics and graph data to identify fraud is explored in 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. Who is an Internal Auditor? An internal auditor is a professional hired by a company to give an objective assessment of the performance of operational and financial activities. They are supposed to regulate corporate governance. They have to ensure that companies comply with tax and labour laws and regulation. As part of the audit process, they examine financial statements, conduct interviews with employees, supervise work schedules, check inventory to eliminate errors and expose risks. They create risk assessment profiles for each department that they audit. Data Analytics in Internal Auditor's role An Internal Auditor can apply Data Analytics approaches to enhance the internal audit of the following areas a) Sales and Operations b) Finance and Accounting c) Order to Cash, Procure to Pay d) Legal and Regulatory Compliance e) IT Infrastructure. Internal audit department can use Data Analytics to i. Identify Additional risks ii. Understand existing risks- effective risk profiling iii. Testing of data via simulation iv. Keeping watch for fraudulent transactions. v. Real-Time Exception Management vi. Provide assurance coverage viii. Provide reports to management
This course will teach auditors how to blend Data Analytics and Machine Learning techniques with the internal audit functions of a company. Manual audits are often a nightmare to auditors as the data is stored across multiple files, stores, and systems. Data Analytics simplifies the audit procedure and reduces the load as it allows you to extract data from any source. It also helps the auditor to integrate data from multiple sources. The auditor can publish the results of his analysis faster. Initially, the student is exposed to the Fraud Analytics Lifecycle. Automated Data Analytics makes fraud detection easier as it becomes easy to dig very deep into the data. It also uses less staff time and cost. Manual detection of fraud is a cumbersome process. Network analytics techniques and advanced and futuristic techniques to detect fraud are also studied in this course. The course also mentors students on the various proactive and reactive approaches to handling fraud. Descriptive and Predictive Analytic techniques to identify risk are elaborated. The principal benefit of using Data Analytics tools is that the audit has more time to give meaningful insights to the customers and better analyses as the software takes care of number crunching. The student will also learn to employ Data Visualization techniques to present the results of an internal audit to senior management.
Block Your Time
16 hours
Live Sessions
20 hours
Python Programming Videos
Who Should Sign Up?
This Data Science course for Internal auditors enables the participant to learn about the accounting domain and the key responsibilities of an internal auditor. The preliminary modules paint a pretty portrait of Data Science and its applicability in the Internal Audit Function. Project Management skills are explored at the very inception of this course. The ABCs of Data Analytics namely, Inferential Analytics, Descriptive Analytics, Feature Engineering, Feature Extraction, and Feature Selection are discussed with students. A separate module on Hypothesis Testing and Regression Techniques is also included. Today increasingly internal auditors are using Machine Learning approaches to identify risk and detect fraud. An entire module is therefore dedicated to Machine Learning. Fraud Detection using Network Analytics and Graph Data is also included. Text Mining, Natural Language Processing and its applications in audits also feature in the curriculum of this course. Today companies are leaning towards Black Box techniques like Neural Networks, SVM to identify fraud in audit processes. All these techniques in addition to Time Series and Forecasting are the central themes of the concluding modules of this course.
Auditors have a great responsibility in serving the public interest by performing vigorous audits in this era of uncertainty and one of the toughest economic climates seen in recent memory. While the audit industry has always been cognizant of the critical role data analysis plays, the introduction of Big Data and Data Science can be a true game-changer in this age-old profession. It is being used to dig out insights for valuable improvements in the internal workflow and cultural habits and also to improve the efficiency of the whole process. Leading departments in the field of internal auditing are fusing data, tools, people and processes to derive value from analytics to achieve increased quality and efficiency in the functioning of a business.
According to an Ernst and Young article, big data analytics powered Data Science can enable auditors to better detect fraud and minimize operational business risks. The trends to look out for in IA includes focusing on Privacy compliance due to a massive increase in data privacy regulations and focusing on mitigating cyber risks which continue to increase in frequency and intricacy. Internal audit will also have to assist in third party risk management and formalizing an effective third-party risk management program that will include third-party selection, contract arbitration, business strategy, and vendor termination.
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+91 9989994319
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Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science for Accountants & Internal Auditors Certificate is your passport to an accelerated career path.
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Alumni Speak
"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
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This course just assumes some basic computer familiarity and analytical mindset. It definitely helps if the learner has some background in Auditing and Financial Reporting, SQL and Programming languages such as Python and R.
This course is specifically catered to learners intending to either begin or advance their careers in the auditing and financial reporting industry. As such, you will be exposed to highly relevant financial data.
You will be exposed to financial statements, general ledger and sub-ledger data and many more datasets that are unique to the financial reporting and auditing industry.
Ideally, for the purposes of this course, we have already procured and hosted the necessary datasets (samples), but if some learners are interested in how all of the Data Engineering work is done, it can be offered as a separate (or an addendum) course.
Different organisations use different terms for data professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.
With growing demand, there is a scarcity of data science professionals in the market. If you can demonstrate strong knowledge of data science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.
360DigiTMG provides internship opportunities through Innodatatics, our USA- based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practical.
There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job placements.
We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.
After you have completed the online sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.
You will be attending 20 hours of virtual instructor-led sessions. After completion, you will have access to the Learning Management System for another three months for recorded videos and assignments. You will also have another month after the online sessions to complete the live project.
If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.
We assign mentors to each student in this programme. Additionally, during the mentorship sessions, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
No, the cost of the certificate is included in the programme package.
Only 58% of Internal Auditors have exposure to Data Analytics. Therefore there is a whopping demand for Internal Auditors who are trained in Data Analytics. It's worth upskilling if you are an Internal Audit staff as all major companies and FSI's have Data Analysts in the Internal Audit function.
In India, the average salary of Data Scientist Internal Auditor is Rs 10-12 lakhs per annum. In America, the Average Salary of an Internal Auditor with Data Analysis skills is $59.000 per annum.
In India, listed companies, unlisted public companies, listed private companies, and foreign companies are mandated by law to conduct an annual internal audit. Most of these companies hire data analysts to expedite the internal audit process.
The various open-source tools used in Internal Audits are ADAudit Plus, Open-Audit, Gensuite, Qualityze, Netwrix, iAuditor, AuditNet, form.com, GRC Envelop Risk, and Audit. They provide an online digital platform where auditors can share audit work programs and audit documentation.
The course in Hyderabad is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of online learning. We also support e-learning as part of our curriculum.p>
The Internal Audit function is present in every company across industries like manufacturing, banking, financial services, Utilities, Oil and Natural Gas, Software, Automotive, Energy, Engineering, and Construction.
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
4.8
I've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
I'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
The data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
One of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
The teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
It was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
It was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
I found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
Excited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
The data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
During my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Great institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
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