Data Science


In this course you will get an introduction to the main tools and ideas which are required for Data Scientist/Business Analyst/Data Analyst/Analytics Manager/Actuarial Scientist/Business Analytic Practitioners. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. The course is a combination of various data science concepts such as machine learning, visualization, data mining, programming, data munging, etc. There are three components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is manual calculations will be shown on how formulae’s are used behind the logics. The third is a practical introduction to the tools that will be used in the program like R Programming and EXCEL.

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Complete Course Description: Download Here
  • Introduction to DataScience
  • Business Statistics
  • Exploratory Data Analaysis and Visualization
  • Data Pre-Processing
  • Predicition Analytics
  • MACHINE LEARNING
  • Neural Networks
  • Introduction to Deep Learning
  • Association Rules
  • Nearest-Neighbour Methods (KNN – Classifier)
  • Decision Tree
  • Boosting, Bagging and Random Forest
  • Dimensional Reduction Techniques
  • Introduction to probabilistic methods Introduction
  • Support Vector Machines
  • PYTHON - PROGRAMMING
  • Introduction to NumPy
  • Apache Spark Analytics
  • R – PROGRAMMING
  • Introduction to Pandas
  • Introduction to Pandas
  • Exclusive doubt clarification session on every weekend
  • Real Time Case Study driven approach
  • Placement Assistance
  • Any Graduate. No programming and statistics knowledge or skills required
  • 90 Hours (On working days-one hour and weekends-3hrs).
  • Classroom Training
  • Online Training

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