Big Data is the key to inspire a positive change with far-sightedness powered by predictive analysis and advanced data science, which leads to fact-based decision making, and improved customer experience. Experts of Big Data capable of leveraging Machine Learning can devise predictive analysis apps such as personalization, classification and recommendation systems that help in understanding and predicting behavior or events, facilitating effective planning and decision making.
In 2016, Glassdoor named ‘Data Scientist’ as the ‘Best job in America’. Big Data has been listed as one of the top five initiatives with the largest impact on organizations.
The jump data analytics track covers key aspects from statistics such as ARMA, ARIMA, hypotheses testing, regression models, etc which form the foundation of analytics. The analytics base is supported by Big Data Hadoop development which covers components like HDFS, Pig, MapReduce, YARN, Hive, Sqoop, Oozie, Zookeeper, Apache Spark, HBase, etc. After gaining a thorough understanding of these tools and applications, students are exposed to Machine Learning architecture including Deep Learning, Natural Language Processing, TensorFlow, etc.
Bureau of Labor Statistics reports that the median base salary for entry-level data scientists is around $116,840, being one of the highest paid IT and mathematics professions.
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