Data is surging at an alarming rate; that has outnumbered the processes that can be fine-tuned to serve the best business decisions. This is what warrants an urgent demand for qualified data science professionals. They are deemed critical to the successful business propagation and growth standards of any organization worldwide.
There are many who fear that data science will be dead in a decade’s time. Believing the recent statistics, the realm of data science is not going to be obsolete anytime soon. Banking, Finance, insurance, entertainment, Telecommunication, Automobile, and many such industries are going to benefit immensely from data sciences. The Precedence Research highlights a CAGR of 16.43% from the forecast period 2022-2030 for the explosive expansion of the Global Data Science Platforms. Isn’t that a huge kick to start a career in data sciences NOW?
The majority of organizations are adopting data-driven strategies that enable advanced analytic capabilities; thus, the field of data analytics is projected to boom with a 25% growth for data science jobs between 2020-2030. As per the US Bureau of Labor Statistics, the number of jobs requiring Data Science Skills is expected to grow by 27.9% by 2026. This is a clear indication that qualified data science professionals are going to be in huge demand in the future to follow. Let us understand what it takes to become a skilled data professional, to enable high-end business growth.
Understanding Data Science Certifications
With a humungous rise in data world over, it is deemed necessary to earn a credential that allows for making informed decisions for businesses; utilizing the study of data extraction. A data science certification is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, AI, computer engineering, and much more to analyze large amounts of data.
Are you eligible?
There are numerous ways that one could get their hands on a perfectly suited data science credential. A bachelor’s degree in the relevant field (STEM subject), such as computer science, statistics, mathematics, or engineering is a bare requisite for a beginner’s role. As you grow in your data science career, a master’s or a PhD in a related field would help scale higher.
Popular Data Science Certifications to Master this year:
- Data Science Professional Certificate- IBM
Master data visualization, deep learning, model building, statistics, and more on the program offered by IBM. It is an online boot camp, spanning 11 months duration. You need to be a data science professional with a minimum of 2 years of experience to set in the program.
- Certified Data Science Professional (CDSP™)- USDSI®
Get certified with the most popular and highly trusted certification in data sciences from USDSI® (United States Data Science Institute). They are the pioneers in offering the most market-centric skillset and in-demand online credentials that are sure to accelerate your career advancements. Data Mining, Machine Learning, Business Knowledge, Self-paced programs, Anytime Anywhere Access, and much more are core highlights of CDSP™ credential. Industry SMEs and trained professionals sharing insights and real-world scenarios are the high points of this program; leveraging the closest access to the real-world data science market workings. It is the best fit for beginners who wish to take data science learnings in a chronological manner; with experts by their side.
- Data Analyst Associate Certification- Microsoft
Master the power of BI basics, data modeling, data visualization, deploying and maintaining deliverables, and more on this program set out by Microsoft. This certification would enable you to amass a huge gamut of data science career moves that are high on earnings as well. It offers access to Microsoft Power Platform, implementing solutions, and data modeling.
What’s the big deal with a data science certification?
Earning this reputed credential is a must-have to scale quickly in your career trajectory. Making it a smooth process, a data science certification from a credible international player is key to an elevated career graph, alongside earning moolah over time. These are a convenient way to level up your data science game with the most rewarding and future-proof data science skills at your disposal.
Conclusion
It is time that we realized the importance of earning a credible data science credential. Making the most of this opportunity is core to building a flourishing data science career trajectory. Make yourself an easy pick for your future recruiter with ace skillsets and an impressive portfolio to flaunt. Earn big with the best-suited data science credential today!
