DATA SCIENCE COUNCIL OF AMERICA
Become a certified Big Data Professional
A DASCA certified professional earns 40% - 50% higher!
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Download a FREE e-book now!
Why become a certified Big Data Analyst?
The pandemic beckoned the arrival of the jobs of the future.
The lockdown has seen millions of job losses, furloughs, and salary cuts. There is an opportunity to build better backup in big data and other emerging technologies like AI and machine learning. Reskilling and upskilling is an ideal way to build a stronger workforce.
Senior Big Data Analyst
A senior big data analyst conducts the conversion of data into actionable insights leading the organization to make better-informed decisions. They work closely with the business’s top leading management, executives, and stakeholders within the organization.
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Responsible for data transformation, analysis, and visualization.
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Create and develop medium to large custom application data models.
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Take ownership of data analysis activities between the team.
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Work closely with junior big data analysts and directly report to the superiors.
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Design and implement business solutions using business intelligence solutions.
Ways to become an SBDA™?
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What are the Learning Coverage included?
Though the SBDA™ Certification Preparation Kit is designed as a study and preparation resource for the online SBDA™ Certification examination, the books, lab handbooks, and other learning aids included in the SBDA™ Certification Preparation Kit have been put together to help aspiring Big Data Analysts build longer-lasting sets of skills and a more penetrative Big Data perspective.
The SBDA™ Certification Preparation Kit contents, therefore, seek to develop in learners, a strong and complete generic, as well as a platform-based understanding of the concepts, principles, tools, techniques, and technologies of designing, developing, and applying analytics frameworks and utilities required for sharper information management and decision making.
Who could be a Senior Big Data Analyst?
If you are working in Big Data space, or are a market research professional with at least an Undergraduate Degree in Business, Management, Marketing, Statistics, Mathematics, Economics, or Applied Mathematics from an accredited institution, the SBDA™ undoubtedly might just be the most important credential to earn at this stage.
Pre-requisites of SBDA™ Certification Program
Step 1
#Bachelor's Degree – Mathematics, Applied Sciences, Computer Science, Engineering, Economics, Social Sciences, Finance, Management, and related disciplines.
#Work Experience – 2 years of work experience in areas related to Business Analytics, Statistics, Data, Computing, and Business Intelligence.
Step 2
#Master’s Degree - Mathematics, Applied Sciences, Computer Science, Engineering, Economics, Social Sciences, Finance, Management, and related disciplines.
#Work Experience – 1 year of work experience in areas related to Business Analytics, Statistics, Data, Computing, and Business Intelligence.
Step 3
#Bachelor's Degree from any of DASCA’s recognized institution - Mathematics, Applied Sciences, Computer Science, Engineering, Economics, Social Sciences, Finance, Management, and related disciplines.
#Work Experience - 1 year of work experience in areas related to Business Analytics, Statistics, Data, Computing, and Business Intelligence.
Step 4
#Master’s Degree from any of DASCA’s recognized institution - Mathematics, Applied Sciences, Computer Science, Engineering, Economics, Social Sciences, Finance, Management, and related disciplines.
#Work Experience isn’t mandatory. However, the candidate should have basic working knowledge related to Business Analytics, Statistics, Data, Computing, and Business Intelligence.
About DASCA (Data Science Council of America)
The Data Science Council of America (DASCA) researches, designs, and builds platform-independent Data Science knowledge frameworks, standards, and credentials, and certifies individuals entering or working across the spectrum of emerging Data Science professions. The prime goal of DASCA today is to constantly strive to refine and optimize the numerous roles and jobs in the Big Data/ Data Science space into concrete, sharply defined professions.
