Data Science for Financial Analytics & Auditors

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 AiSPRY, 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 practice.

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.