Data Science

Introduction to Data Science:

 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. The subject is not restricted to only big data, although the fact that data is scaling up makes big data an important aspect of data science.


Data science develops the skills required to build information platforms and analytical tools that reduce costs, increase profits, improve products, retain customers, and identify new opportunities.

data science - Big Data Training Chennai


This course is suitable for software engineers, data analysts and statisticians with basic knowledge of Apache Hadoop: HDFS, MapReduce, Hadoop Streaming, Apache Hive. Students should have proficiency in a scripting language: Python is strongly preferred, but familiarity with Perl or Ruby is sufficient.


  • Introduction

  • Data Science Overview

  • Use Cases

  • Project Life-cycle

  • Data Acquisition

  • Evaluating Input Data

  • Data Transformation

  • Data Analysis and Statistical Methods

  • Fundamentals of Machine Learning

  • Recommender Overview

  • Introduction to Apache Mahout

  • Implementing Recommenders with Apache Mahout

  • Experimentation and Evaluation

  • Production Deployment and Beyond

  • Conclusion

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