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Overview

Data science is a “concept to unify statistics, data analysis and their related methods” in order to “understand and analyze actual phenomena” with data.

Target Audience

  • Developers aspiring to be a ‘Data Scientist’
  • Analytics Managers who are leading a team of analysts
  • Business Analysts who want to understand Machine Learning (ML) Techniques
  • Information Architects who want to gain expertise in Predictive Analytics
  • ‘R’ professionals who want to captivate and analyze Big Data
  • Analysts wanting to understand Data Science methodologies

Learning Outcome

  • Gain insight into the ‘Roles’ played by a Data Scientist
  • Get to analyze several types of data using R
  • Knowledge on the Data Science Life Cycle
  • Work with different data formats like XML, CSV etc.
  • Learn tools and techniques for Data Transformation
  • Discuss Data Mining techniques and their implementation
  • Analyze data using Machine Learning algorithms in R
  • Explain Time Series and its related concepts
  • Perform Text Mining and Sentimental analyses on text data
  • Gain insight into Data Visualization and Optimization techniques
  • Understand the concepts of Deep Learning

Duration: 2days Workshop + Post Workshop Support

Deliverables

  • 2 days Instructor-Led Classroom training from Certified Trainer of Senior Profile.
  • Course materials(soft copy) and practice exercises
  • Data Science Course Completion Certification