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In addition to technical knowledge and profession-specific skills, the degree of success in professional roles is always influenced by the depth and breadth of a professional’s exposure to challenges in developing big data applications for varying users operating varying legacy systems. Based entirely on exam-performance, this certification, in principle indicates the possession of knowledge and comprehension of critical and most recent theoretical and applied concepts, principles, frameworks and methodologies in big data application development and engineering, reflecting a professional potential for outcome-driven performance in responsibilities related to developing, coding, testing and commissioning big data software applications, modules, and plug-ins, etc.
Data Science is a constantly evolving and dynamic professional space, and professionals require to constantly update themselves. The assessment for this certification includes important knowledge areas like:
Use-cases of big data applications
Hadoop Ecosystem and other contemporary analytics technologies and platforms
Storing, manipulating, and processing bulk streaming data through popular analytics tools and applications
Importing, transferring, testing and debugging of streaming data application processes
Machine Learning applications
Association Rule mining; Decision trees
Inductive logic programming
Support Vector machines; Dimensionality reduction
Feature selection and experiment design and analysis
Probabilistic graphs, Clustering, and SOMs; trend analysis and forecastingn
DASCA is a world leader in credentialing professional skills in Data Science, and is widely credited for its contribution in developing standardized, vendor-neutral and platform agnostic skills framework for engineers, analysts and scientists working in various sub- domains of Data Science. With the world’s first and the most powerful bouquets of international credentials in big data engineering, big data analytics and data science for professionals, DASCA spells the state-of-the-art in Data Science excellence today.
