Full-Stack Data Scientist: The New “Jack of all trades”

Recently, in a venture to help enterprises finding employees who are aware of the full cycle of solving business problems, GSDC launched a brand new certification for Full Stack Data Scientists. Through a comprehensive, concise, and instructor-led curriculum, GSDC provides professionals with insights to understand and execute not just the data analytics and model development, but also the model deployment and integration with the business application.

GSDC’s Full-Stack Data Scientist Certification is basically a collection of 3 certifications: Business Analytics Practitioner Certification, Machine Learning Master Certification, and DevOps Engineer Certification. One may wonder how much help these certifications can be when it comes to the full cycle of the business. Andrew Welsor, Director of GSDC cleared that doubt a little with his words: “ The full cycle of business problems goes something like this: understanding the business problems and how to solve them, analyze available data sources and deciding if we need more data, transforming the data so it can be put into an ML algorithm, training the models with the help of Machine Learning, deploying the model to production. The organizations lately have started to realize that they need a team for that. And hence, the need for Full-stack Data Scientists comes into the picture.”

Full-Stack Data Scientist certification is aimed towards assisting the professionals to learn the full cycle of identifying the business problem, analyzing the data sources and decoding if more data is needed, transform the data so that it can be put into an ML algorithm, training the models, measuring how well the models solve the business problem, and its implementation. As a Full-Stack Data Scientist, the individual becomes responsible for handwritten digits identification, building a recommendation engine, practical case study on Banking Data, classifying the type of cancer case study, object detection in the live video feed, webcams, video files on youtube, sentimental analysis for review.
GSDC was founded with the goal of helping professionals’ upskill, become future job-ready, and bridge industry skill gaps. But in the last few years, the shortage of Full-stack Data Scientist has widened in the corporate world, threatening to create a bottleneck for enterprises that are struggling to solve the business problems by themselves. GSDC’s Full Stack Data Scientist course promises to bring these organizations’ people, processes, and technology skills up to speed for a successful new era of business transformation.

It has just been a few weeks, but this certification has gained a lot of attention from Project Managers, Data Analysts, Data Engineers, Data Scientists, Site Reliability Engineers, ML Engineers, and DevOps Engineers. “We have designed the syllabus and examination format in a unique way that helps the participants in having a perfect blend of knowledge these 3 certifications altogether.” Said Dariaz Perez, the Chief Examiner of GSDC.

The offerings of GSDC’s Full-stack Data Scientist include:

Building telecom churn management case study
Handwritten digits identification
Building a recommendation engine
Practical case study on banking data
Classifying cancer- case study
Object detection in the live video feed, webcams, video files, or YouTube
Sentiment Analyzer for reviews
Up to date, in-depth course syllabus developed by industry leaders

GSDC has partnered with a lot of training institutions worldwide to take professionals under their wings and shape them as Jack of all trades or Full Stack Data Scientists in simpler words. They also have started a scholarship program just for their Full-stack Data Scientist certification. With integrated learning programs across key technology and business domains, GSDC remains to be the preferred certification organization for its Full-stack Data scientist course as well. We hope to see this certification spread the wings more and contributing “Jack of all trades” in an increasing manner to the business world.

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