In the current day and age, where data is not just considered data, but fuel to business growth. Business insights are drawn from huge sets of data to predict future markets and related trends. No business can survive in this digital age without the collection of consumer data and extracting valuable information out of it. Number-crunching is a thing now, which has gained a lot of traction in the past couple of years. As a matter of fact, it has emerged as the most sought-after activity among business entities spread across industries.
Each industry is dependent on data ranging from fintech to marketing, manufacturing, retail, travel, education, among others. Given the intense competition in the global markets, every business hustles on a day-to-day basis to gain a competitive edge over its immediate competitors. And what helps to gain that edge? It’s the availability of data that assists in making future predictions about the markets and consumer behavior.
With so much relevance been given to data, there has existed a dearth of data science professionals that can handle big data sets, and are skilled enough to extract some useful insights out of them.
But handling data is not a child’s play, it requires you to be highly skilled at data analysis and the tools associated with data modeling and predictive analytics. That’s the prime reason for the prevailing scarcity of data professionals across the globe. There are fewer individuals that possess the skills required to make use of the available data.
The prominence of data science certificates is a direct result of the lack of skills among individuals that operate in the said field or those who desire to break into this lucrative domain.
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How Data Science Certification Programs Assist in Building a Big Data Career
By enrolling in a big data certification program, you acquire numerous industry-specific skills that are currently in trend in the industry. Some of these relevant skills that you learn comprise:
- A much-needed command over mathematics, statistics, machine learning, and computing, which is considered the foundation of becoming a successful data science professional.
- You gain proficiency in programming languages such as R or Python that are required to develop ML algorithms.
- One becomes familiar with handling big databases while learning to qualify for a certification exam.
- The opportunity provided to learn the usage of popular tools used in data analysis such as Spark, MapReduce, and Hadoop. You gain hands-on experience of working with the mentioned tools.
- Training on data munging, reporting, and visualization is obtained during the learning phase of the certification program.
Why Study Data Analytics in the First Place?
According to a survey conducted by McKinsey and Company, the global leader in market research, it was concluded that the inaccurate data has cost the US government a whopping $3 trillion per year of late. The same study observed that the government might have saved in between $300 and $450 billion per year on healthcare expenses if it had improved on its data collection and analytics measures.
Concluding Words
Benefiting innovations in data analytics are the need of the hour, especially when the world is producing data at an unprecedented rate. The opportunities and possibilities for the aspirants in the domain are endless. All that is needed to bag a lucrative data science role in the job markets are the relevant skillset.
The data analytics industry is facing a huge scarcity of skilled professionals at the moment. With a certification in your name, you are considered qualified in the eyes of the recruiters at top companies that hire for data analysts, engineers, and scientists. On top of your degree, do acquire a professional credential in data science to impress recruiters at the biggest of firms that hire data science professionals such as Amazon, Google, and IBM.
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