Data Science Course Features

Certified Data Scientist Finance Course

Data Science has found its way through the particular domains of the organizational functions. The Certified Data Scientist-Finance course mainly focuses on the deployment of data science into finance functions. The certification, accredited by  IABAC carries wide recognition and is instrumental in fulfilling long term career goals. 

Certified Data Scientist Finance Course Training Cost

Live Virtual


  • IBM® & IABAC® Certification
  • 3-Month Program
  • 20-Hour Live Online Training
  • 10 Capstone & 1 Client Projects
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Self Learning


  • IBM® & IABAC® Certification
  • 365 Days Access + Cloud Lab
  • 10 Capstone & 1 Client Projects
  • Internship +Job Assistance



  • IBM® & IABAC® Certification
  • 3-Month | 400 Learning Hours
  • 16-Hour Classroom Sessions
  • 10 Capstone & 1 Client Projects
  • Cloud Lab Access
  • Internship + Job Assistance

Why Datamites

Why DataMites Infographic


Data Science is a discipline that is finding relevance in almost every individual domain. Organizations across the globe have identified the potentiality housed in the data science discipline. The Certified Data Scientist- Finance talks about the incorporation of data science into finance.

To equip the individual with the knowledge of the role of finance in data science.

No mandatory prerequisites

  • Basic Knowledge of Finance
  • Experience in the financial domain recommended.
  • Any individual who is involved in the finance domain.
  • A fresher who possesses a good amount of knowledge in finance.
  • Wide Recognition.
  • Higher Pay.
  • Designed in tune with the current industry requirements.
  • DataMites™ is an authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses
  • DataMites™ is founded by Data Science/Analytics Experts, who had deep roots in the industry in the USA and Europe for decades.
  • You benefit from course syllabus of DataMites™ as designed inline with job requirement in the current market
  • You can choose from flexible learning options: Traditional classroom, Live Virtual classroom, and Self-learning.
  • DataMites™ has a dedicated Placement Assistance Team (PAT), which assists you to find the right data science job
  • If you are a worthy candidate, you can get an opportunity to work in global data science consulting projects
  • You can treat your DataMites™ relationship manager as your pal. We value your every request.


  •  Introduction
  •  Key roles and responsibilities
  •  Key Processes and Metrics
  •  Data Science in Finance
  •  Data Science professionals’ roles.
  •  Descriptive Analytics to derive insights from data
  •  Workflow Optimization and Process Improvements
  • Predictive Analytics core concepts
  • Machine Learning application in Finance.
  •   Limitations of Data Science adaptation in Finance
  •   Challenges in transition.

Data Science Industry use a case in Finance domain


DataMites™ provides flexible learning options from traditional classroom training, the latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.

All certificates can be validated with your unique certification number at portal. You also get candidate login at, where you can find your test results and other relevant validation details.

The results of the Exam are immediate if you take an online test at portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 business days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

The course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on an individual basis in assisting for the right Data Science job.

You get a 100% refund training fee if the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with the latest information on Data Science as well as job updates.

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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