FAQ

Frequently Asked Questions (faq)

Either you can pick up from office by showing ID proof or Certificates are couriered to your address as registered in the Exam information sheet. It usually takes 7-10 working days to receive hard copy certificates from Examination bodies: IABAC
Both actually. It depends on the type of certification. For most courses, both options are available.
Yes. Please leave a request through request a training link. We will schedule a training based on demand at the requested location and notify you.
Datamites generally take full payment before first day of course. If there is genuine cause, this can be dealt on case to basis under management discretion retion.
Yes. It is up to you when you decide to give your exam. On a softer note, we encourage participant to complete his/her exam within one month of the training.
Datamites pays back 100% money back, if there is any quality issues with the training.
Yes. If you have a valid reason, as per management discretion, you can take a break and resume your training at later point of time.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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