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Data Science for Internal Auditors Training

Reinvent your future with our Data Science for Internal Auditors training. Acquire various roles in the space of Accounting and Auditing. Learn to bridge the gap between Business and IT with Data Analytics skills.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 40 Hours of Intensive Classroom & Online Sessions
  • 60+ Hours of Practical Assignments
  • 2 Capstone Live Projects
  • 100% Job Placement Assurance
Internal Auditors course - 360digitmg
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Internal Auditors course reviews - 360digitmg
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Academic Partners & International Accreditations
  • Internal Auditors course with IBM certificate
  • Internal Auditors course with UTM certificate
  • Internal Auditors course with TUV certificate
  • Internal Auditors course with Panasonic certificate
  • Internal Auditors course with Careerx certificate

"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.

Internal Auditors

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

Total Duration

1 Month

data science for internal auditors course pre-requisites in india - 360digitmg


  • Computer Skills
  • Basic Mathematical Concepts
  • Accounting Basics

Internal Auditors Programme Overview

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

Course Details

Internal Auditors Learning Outcomes

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.

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
Block Your Time
cyber security analytics course in india - 360digitmg

40 hours

Classroom Sessions

cyber security analytics course in india - 360digitmg

60 hours

Assignments &

cyber security analytics course in india - 360digitmg

60 hours

Live Projects

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

Internal Auditors Course Modules

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.

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How we prepare you
  • Internal Auditors training with placements
    Additional Assignments of over 60+ hours
  • Internal Auditors course with placements
    Live Free Webinars
  • Internal Auditors training institute with placements
    Resume and LinkedIn Review Sessions
  • Internal Auditors course with certification
    Lifetime LMS Access
  • Internal Auditors training
    24/7 Support
  • Internal Auditors certification
    Job Placements in Internal Auditors Fields
  • best Internal Auditors course
    Complimentary Courses
  • best Internal Auditors course training
    Unlimited Mock Interview and Quiz Session
  • best Internal Auditors training with placements
    Hands-on Experience in Live Projects
  • Internal Auditors course
    Offline Hiring Events
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Internal Auditors Course Panel of Coaches

cyber security analytics course trainer - Bharani

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 14+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
cyber security course trainer - sharath

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 14+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more
Read More >
cyber security analytics course trainer - nithin

Nitin Mishra

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Over 20+ years of industry experience in data science and business intelligence
  • Trained professionals from Fortune 500 companies and students at prestigious colleges
  • Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL
  • Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more
Read More >
cyber security analytics certification course in india - 360digitmg


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.

FAQs for Internal Auditors Program

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 classroom 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 classroom and/or 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 classroom 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.

Jobs in the field of Internal Auditors

Jobs in the field of Internal Auditors

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.

Salaries for Internal Auditors

Salaries for Internal Auditors Professionals

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.

Internal Auditors Course Projects

Internal Auditors Course Projects

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.

Role of Open Source Tools in Internal Auditors Course

Role of Open Source Tools in Internal Auditors Course

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.

Modes of Training for Internal Auditors Course

Modes of Training for Internal Auditors Course

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 both classroom and online learning. We also support e-learning as part of our curriculum.p>

Industry Application of Internal Auditors Course

Industry Application of Internal Auditors Course

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.

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