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Back to sign inYou can QualiFLY™ to a prestigious DASCA Credential if you are a student or an alumnus of a DASCA-recognized institution!
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Go to Data Science CurrentInsider stories of the moving and shaking in the big and exciting world of Data Science!
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Read MoreDASCA Certifications for Big Data Engineers, Big Data Analysts, & Data Scientists are the world's most powerful independent professional credentials today. Choose the credential that suits you best!
Read MoreBig Data technology stables, Big Data consulting outfits, IT training companies, leading universities, business schools, higher education institutions, and government ICT academies – all are adding to the rapidly growing DASCA worldwide network. And if your organization is yet to ally with us, well, then just start the process now! We'll be privileged to have you join in.
Know moreGet your academic programs DASCA accredited. Become a prized DASCA institutional partner. Leverage the subsidy program of the World Data Science Initiative.
Read More>Get your data analysts, data engineers and data scientists DASCA certified. Establish a long-term partnership with DASCA for sustainable development of data science talent.
Read More>Enrich your analytics and data science training programs with DASCA certifications. Make your academy a prestigious DASCA education and exam-prep training provider.
Read More>Join hands for propagating standards-backed education in data science. Collaborate to align data science curricula in colleges and schools with the DASCA body of knowledge.
Read More>The DASCA Body of Knowledge and the DASCA Essential Knowledge Framework together present the world’s most rigorous and complete definition of professional excellence drivers for Big Data stakeholders.
Read moreThe comprehensive DASCA Body of Knowledge underlies the assessment and credentialing mechanisms of DASCA Certifications.
Read moreThe Essential Knowledge Framework (EKF™) codes down the world’s most authoritative skills-framework for Data Science professionals.
Read moreDASCA standards, knowledge frameworks, certifications, and knowledgeware together reflect industry-leading initiatives to develop big data analyst, engineers and data scientists who can work across a range of analytics technologies and platforms.
DASCA's pioneering credentials for big data analysts, application developers and data scientists are powerfully cross-platform, vendor-neutral and deployable across a range of operational levels in most industries.
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ConnectI'd like to strongly encourage anyone to take the opportunity of the SDS™ certification journey, there are no cons, only pros, and remember, never stop learning.
I wanted to give more credibility and confidence to myself, my employer, and my potential future employees. Having technical knowledge is one, but I've always wanted to have strong evidence in hand that I really know what I'm the best at. This brings more self-confidence and removes any barriers or doubts while working on complex business projects.
I really liked the information flow, clear and concise. I knew what are the requirements, what I'll learn, and what the exam will look like. All the factors convinced me and confirmed my opinion that SDS™ certification is a great choice. I liked the books which I received as a preparation kit. The content was structured, standardized, and relevant to Data Scientist's daily work.
I read both books in detail, trying to dive deep into each chapter and get the most out of it, this was my base. The rest was purely based on my previously gained experience and courses in statistics, programming languages, data analysis, and cloud computing.
Mastery is key. I recommend starting with one programming language or cloud provider and mastering it by doing professional certifications. It's always better to have advanced knowledge of one topic than have a basic or intermediate understanding of several ones. Before choosing the right one, it's always good to do some research on what is currently trending and what are the requirements while looking through job offers and keep learning.
This way, you can solve any business case and convince or attract potential employers to your candidature.
It's too early to say because I've just passed the exam, but it gave me a high level of self-confidence and belief that I'm able to deal with any complex business case. Apart from that, gaining knowledge from the preparation kit provided me with a broader view of business, on methodologies of solving business problems and validation methods. Having an SDS™ certification, I strongly believe, it will help to remain competitive by justifying one's knowledge and technical abilities.
I'd focus on three key aspects: firstly, insights, by seeing the data, observing not the obvious things but something 'in-between,' and drawing conclusions from it. Secondly, problem-solving, which means you should be able to read the data and extract a message which helps businesses to improve, gain more customers, or simply develop. Last but not least predictive analytics, each Data Scientist should answer the business question about what is to be expected by using time series, cloud computing, or the whole range of ML models, which helps to tackle business problems.
Flawless
I'd like to strongly encourage anyone to take the opportunity of the SDS™ certification journey, there are no cons, only pros, and remember, never stop learning.
DASCA offers two of the most prestigious international credentials for Data Scientists today. Ideal for senior professionals already working as Big Data Analysts, these credentials are also great qualifications for experienced and accomplished data engineers and data experts .
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