Today, we expect our needs to be resolved faster. Our ability to connect with our peers could become possible regardless of time and geographic aspects as well as our business to be operated more efficiently. With our each step, be it browsing on the internet or making transactions online, data is getting bigger only. The data that is huge in volume and often unstructured carries huge opportunities for business growth. This is where data science promises to simplify such structured and unstructured information and convert them into meaningful insights.
Data science defines as a field of study that deals with large volumes of data using advanced tools and techniques to find hidden patterns. It derives valuable information from that data and makes effective business decisions. A data scientist solves business problems by asking pertinent questions to understand the problem.
Data science has already found its way into diverse industries, helping businesses in their data-driven decisions. For instance, the collection and processing of big data is a key to reliable and explicit healthcare delivery. Big data powers self-learning healthcare programs, where medical professionals can be able to decipher the data of individual patients irrespective of gender, age, weight, medical history, etc.
In the airline industry, data science helps predict disruptions in travel to ease any uncertainties. It lets airlines to optimize operations in many ways, including creating predictive analytics models to forecast flight delays, planning routes and determining whether to schedule direct or connecting flights, offering personalized promotional offers based on customers booking patterns and more. The gaming industry is capitalizing on data science to develop video and computer games that have already taken the gaming experience to the next level. Banking and financial institutions are also taking advantage of this rapidly growing field to thwart fraudulent activities in transactions.
Apart from these, companies in logistics, automotive, security and retail, among other industries harness the power of data science.
Before diving into how to become a successful data scientist, first, get through who is a data scientist and what do they do? A data scientist is a professional who gleans and assesses data to reach the conclusion. Data scientists gather data from multiple sources, process it and turn it into a format suitable for analysis. They feed the data into the analytic system and reach the outcomes and insights to share with the appropriate stakeholders.
There are myriad paths to land a career in data science and require a set of must-have skills to succeed. A data scientist must know statistics, data visualization, data ingestion, data munging, programming, deep learning, ML algorithms, and data science. They also must pose problem-solving skills with soft skills and business acumen.
Since data scientists are analytical experts and involve in making sense of unstructured data, they require to have some course experience to qualify in this broad field of study. There are plenty of online, offline and executive certifications available to become a successful data science expert. Some data science programs as follow:
According to Analytics Insight, there will be over 3 million new job openings in data science, worldwide by 2021.
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