Course Module

  • Introduction to R
  • Overview of R
  • Environment setup
  • Basic syntax of R
  • Data type
  • Variable
  • Operators
  • Decision making
  • Loops
  • Function
  • Strings
  • Vector
  • List
  • Matrices
  • Arrays
  • Factors
  • Data frame
  • Packages
  • Data reshaping
    Descriptive Statistics
  • Introduction to the course
  • Descriptive Statistics
  • Probability Distributions
  • Inferential Statistics
  • Inferential Statistics through hypothesis tests
  • Permutation & Randomization Test
  • Regression & ANOVA
  • Regression
  • ANOVA(Analysis of Variance)
  • Machine Learning: Introduction and Concepts
  • Differentiating algorithmic and model based frameworks
  • Regression : Ordinary Least Squares, Ridge Regression, Lasso Regression, K Nearest Neighbours Regression & Classification
  • Supervised Learning with Regression and Classification techniques -1
  • Bias-Variance Dichotomy
  • Model Validation Approaches
  • Logistic Regression
  • Linear Discriminant Analysis
  • Quadratic Discriminant Analysis
  • Regression and Classification Trees
  • Support Vector Machines
  • Supervised Learning with Regression and Classification techniques -2
  • Ensemble Methods: Random Forest
  • Neural Networks
  • Deep learning
  • Unsupervised Learning and Challenges for Big Data Analytics
  • Clustering
  • Associative Rule Mining
  • Challenges for big data anlalytics
  • Prescriptive analytics
  • Creating data for analytics through designed experiments
  • Creating data for analytics through Active learning
  • Creating data for analytics through Reinforcement learning
Course Duration : 45 Hrs | 10 Weeks
Course Price : INR 27,000 13,500
Avail 50% Off with Coupon Code COMBO50
Offer Valid : Till 25th May 2019

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