Data Science Using Spark
Data Science using Apache Spark – 
Data scientists build information platforms to provide deep insight and answer previously unimaginable questions. Spark and Hadoop are transforming how data scientists work by allowing interactive and iterative data analysis at scale. This course helps participants understand what data scientists do, the problems they solve, and the tools and techniques they use and enable data scientists to help companies reduce costs, increase profits, improve products, retain customers, and identify new opportunities.
Course Objectives –
Overview of Hadoop Ecosystem.
How to identify potential business use cases where data science can provide impactful results.
How to obtain, clean and combine disparate data sources to create a coherent picture for analysis.
What statistical methods to leverage for data exploration that will provide critical insight into your data.
Where and when to leverage Hadoop streaming and Apache Spark for data science pipelines.
What machine learning technique to use for a particular data science project.
How to implement and manage recommenders using Spark’s MLlib, and how to set up and evaluate data experiments.
What are the pitfalls of deploying new analytics projects to production, at scale.
Who should take this course-
This course is designed for developers, data analyst, data scientist who are familiar with Hadoop ecosystem and well aware about Python/Scala .

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