Since data is considered the fuel to run businesses across varied sectors worldwide, data analysts and engineers can be regarded as the engine that helps process and burns the much-valuable fuel. Working with data requires a unique skill set that very few possess in the entire world. And that’s why, a big dearth of data analysts, engineers, and scientists.
Ways corporations are using data analytics worldwide (2018)
Source: Statista
According to a survey conducted by Statista in 2018 to find out the top uses of data analytics in corporations worldwide, 57% of surveyees said that one of the top application of data analytics in their organizations is driving business strategy and prospective changes in the same.
Role Data Analytics Certifications Play in Building a Data Science Career
They Help You Develop Industry-Relevant & Practical Data Science Skills: Data science certificates and certifications, both are designed in a way that prepares individuals to enter the big data industry domain with much ease. Those who happen to be the experienced big data professionals, the certifications make them learn advanced data science skills that eventually land them job designations high up in the hierarchy.
Basic fundamental skills you develop by enrolling in a data science certification program online:
- Proficiency in collecting, analyzing, and interpreting big data.
- Familiarity with the usage of data analytics tools that help extract valuable insights out of raw data.
- Development of an ability to communicate and interpret results to non-technical and technical audiences.
Get Familiar with the Functioning of Data Analysis Software & Tools
Students and working professionals can choose skill-specific certification programs in data science in accordance with their career goals to attain specialized knowledge.
A few of such tools and software comprise:
- Excel
- RapidMiner
- QlikView
- KNIME
- Apache Spark
- Tableau Public
- R Programming
- SAS
Certifications Help Individuals Demand Big Paychecks
The number of skilled data professionals in the world is little. And there is a huge scarcity of data analytics experts across industries and geographies. This propels you to ask for big remunerations, of course, depending on your skillset and expertise in the said domain.
Rise Up the Career Ladder with Big Data Certifications
Professional credentials have a role to play in every aspect of your career life cycle in big data domain. One can make quick advances in his career path when armed with big data credentials that serve as the proof of expertise in a specific data science skill.
Besides, you can choose from among a plethora of industry-relevant data science certifications basis the career path you would choose to walk. There exist a large variety of options within the data analytics credentialing space. These comprise business analytics, data science, architecture, big data development (Python, R, Hadoop, etc.).
It all depends on your interest to learn a specific skill within the extensively large ecosystem of data science, which consists of a number of sub-branches, that collectively form the entire data analytics industry.
Certification Programs Don’t Take Much of Your Time & Money
It’s a small investment, both, in terms of time and money. But, you gain big. To acquire a data science credential, one doesn’t need to take a break from college studies, or jobs. Besides, the eligibility criteria to enrolling online in a data science credentialing program are pretty relaxed.
No matter, how busy you are in your personal and professional lives, you only need to give a couple of hours each day to learning, while being in the comfort of your respective homes.
Data Science Credentials Work Across the Industries
A majority of industries worldwide, at the moment, make use of data to develop new business strategies that can take their businesses to greater heights in the future. The dependency on digital data just cannot be avoided in any industry in 2020 you can think of. Certified data professionals are welcomed, and preferred, in every industry they put their foot into.
