Association of Data Scientists launches a new certification program for data science newbies

Certified Data Scientist - Associate Level is suitable for beginners to get a global recognition of skills
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The Association of Data Scientists (ADaSci) has recently launched a new certification program in data science, namely Certified Data Scientist – Associate Level. This certification is suitable for those who are at a very early stage of their career or want to start a career in the data science field.

ADaSci and CDSTM

ADaSci is the premier global professional body of data science and machine learning professionals, which leads in the development, dissemination and implementation of knowledge and technologies in analytics, decision-making, and management. The primary aim of ADaSci is to help the data science community by providing a platform where persons from the community can come together, share their knowledge and network with each other. 

ADaSci is also known for the Chartered Data Scientist (CDSTM) program, which is the highest distinction in the data science field. CDS is not a certification program, but it is a charterhood given to those who meet certain criteria. CDS is generally suitable for working professionals in the data science field. The exam to get the CDS charter is also considered to be difficult to crack, which aims at not only skill evaluation but also a career progression with strong ethical standards. Along with that, it also requires two years of working experience to get the CDS charter. Hence this program is more suitable for those who are on their career progression.

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Certified Data Scientist – Associate Level

The Certified Data Scientist – Associate Level is a certification program which mainly focuses on giving recognition to one’s data science skills. Having this certification not only proves the knowledge of required skills but also gives recognition at the global level. 

Recruiters these days need to struggle a lot to find good talents in the data science field as there is a crowd of people who want to start their careers in this field. This puts more challenge on those who have the required skills but getting it difficult to put into the attention of recruiters. For newbies who are looking to get attention from recruiters, this certification can help them stand out of the crowd with a global recognition of skills. 

There is one more challenge for newbies who are not aware of which of the skills they should focus on when starting a career in data science, specifically when aiming for a career as a data scientist. This new certification program by ADaSci addresses this challenge. To get this certification, aspirants need to go through an evaluation process that assesses certain skills that a data scientist must have. Along with that, for evaluation, it poses beginner to the intermediate-level difficulty that is expected from the newbies.

How to Get this Certification?

To get this certification, candidates need to register for its exam on the ADaSci website, which costs 120 US Dollars. A candidate can register for this anytime throughout the year and schedule the exam at any time at their convenience. The exam is delivered online and can be taken from anywhere in the world. The exam consists of 100 multiple-choice questions and lasts for two hours. 

How to Prepare for it?

Certified Data Scientist – Associate Level is a self-study certification program where the candidates need to prepare themselves for the exam. The candidates are suggested to refer to the standard book in the data science and machine learning field and plan their preparation based on the curriculum of this exam. Candidates can also refer to MachineHack Bootcamps and then follow the Assessments on the MachineHack platform to prepare well for this exam.

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Dr. Vaibhav Kumar
Vaibhav Kumar has experience in the field of Data Science and Machine Learning, including research and development. He holds a PhD degree in which he has worked in the area of Deep Learning for Stock Market Prediction. He has published/presented more than 15 research papers in international journals and conferences. He has an interest in writing articles related to data science, machine learning and artificial intelligence.

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