Start Your Leadership Journey With

Senior Big Data Analyst (SBDA™) Certification

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Best suited for Data Professionals Wanting to Pace Up Their Progress

The SBDA™ certification is designed for aspiring data specialists to build longer-lasting sets of skills and a more in-depth Big Data perspective.

Globally Acknowledged

DASCA certifications validate and test applicants in 30 most powerful profession–critical knowledge vectors (KD Nuggets). Developed by the world’s finest leaders, SBDA™ certification program provides highly immersive learning journey to realize your promise and potential.

DASCA Senior Big Data Analyst Certification

Created on a Powerful Knowledge Framework

The SBDA™ is developed around the most powerful Data Science essential knowledge framework (DASCA-EKF™) – a framework that validates SBDA™ certification holders in 5 essential knowledge dimensions and 30 core professional knowledge topics.

The professionals get liberal exposure to all important analytics platforms currently in vogue in the big data space.

Robust Knowledge Framework
Learning Resources

The SBDA™ Learning Resources for Big Data Analyst

DASCA provides the official certification preparation kit for individuals registered for the SBDA™ credential. These learning resources contain all essential knowledge areas that help aspiring big data analysts build a longer-lasting set of skills. The exam official preparation kit consists of:

  • 01Printed SBDA™ Handbook 1: Foundations of Big Data Analytics
  • 02Printed SBDA™ Handbook 2: Advanced Big Data Analytics
  • 03Online Learning and Preparation Resources

Who Should Apply

  • Work Experience

    Minimum 2 years of experience in working with data/ Statistics/ Business Analytics/ Business Intelligence/ Computing

  • Bachelor’s degree/Master’s degree

    In Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Social Sciences/ Related disciplines

WANT TO KNOW MORE ABOUT ELIGIBILITY CRITERIA

SBDA™ Examination Coverage

  • 15%

    Foundations of Data Science

  • 15%

    The Mathematics of Data Science

  • 12%

    Dealing with Data

  • 18%

    Doing Data Analytics

  • 08%

    Data Visualization

  • 05%

    Analytics in Machine Learning and Ai

  • 07%

    Business Implementation of Data Analytics

  • 07%

    Storing Streaming Data

A Few Global Companies where SBDA™ Certified
Professionals Work

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The SBDA™ Certification Process

  • 01
    Check Eligibility Requirements
  • 02
    Fill Online Application
  • 03
    Validation
  • 04
    SBDA™ Certification Preparation Material
  • 05
    Taking the SBDA™ Certification Exam
  • 06
    Digital Award

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