What all you will learn from Data Science Training program?

Data Science is an emerging field that integrates techniques and theories from maths, statistics and computer programming. The focus of Data Science Training is on generating business critical and analytical insights from incredible amount of data that is being generated at an ever increasing pace, including both structured and unstructured data from non-traditional sources, images, including text, and social interaction. It employs techniques and theories drawn from several fields within the broad areas of mathematics, information science, statistics and computer science from the sub-domains of machine learning, data mining, classification, cluster analysis, databases and visualization. During the training program, you will:


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

Data Science training in Noida is designed for all those who want to learn about the life cycle of Data Science, which would include acquisition of data from various sources, data wrangling and data visualization. Apply Machine Learning techniques in R language and wish to apply these techniques on different types of Data. The following professionals can go for this training program:

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

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