|Application fee:||15.4 USD|
|Certification Body:||Aegis School of Data Science|
|Location:||Online Live interactive|
|Director:||Dr. Abbas Ali|
|Course fee:||539 USD|
|Total course fee:||636.02 USD|
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There is much debate among scholars and practitioners about what data science is, and what it isn’t. Does it deal only with big data? What constitutes big data? Is data science really that new? How is it different from statistics and analytics?
One way to consider data science is as an evolutionary step in interdisciplinary fields like business analysis that incorporate computer science, modeling, statistics, analytics, and mathematics. Data science is the study of the generalizable extraction of knowledge from data, yet the key word is science. It incorporates varying elements and builds on techniques and theories from many fields, including signal processing, mathematics, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products.
Average number of “likes” and “comments” posted on facebook daily.
Percentage of the world’s data that has been produced in the last two years.
Projected volume of e-commerce transactions in 2016.
Data Science is not restricted to only big data, although the fact that data is scaling up makes big data an important aspect of data science.