What do I get?

• Gain an in-depth understanding of data structure and data manipulation Understand and use linear and non-linear regression models and classification techniques for data analysis Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave Gain expertise in mathematical computing using the NumPy and Scikit-Learn package Understand the different components of the Hadoop ecosystem Learn to work with HBase, its architecture and data storage, learning the difference between HBase and RDBMS, and use Hive and Impala for partitioning Understand MapReduce and its characteristics, plus learn how to ingest data using Sqoop and Flume Master the concepts recommendation engine, and time series modeling and gain practical mastery over principles, algorithms, and applications of Machine Learning Learn to analyze data using Tableau and become proficient in building interactive dashboards

What do I need?

• Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue the Data Scientist Program