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Data Science Training

Course Overview

Greens Technology provides Data Science training in Chennai to freshers and Working professionals with certification. Awarded as the Best Data Science Training Center in Chennai - Learn SAS, R, Python, Machine leaning and algorithms with real-world experience.

With personal hands-on data science training in Chennai, and optional follow-up mentoring, you can guarantee that your data science training in Chennai investment provides the maximum benefit with Jobs and Certifications. Contact 89399-15577 for data science Training in Chennai with working data science Certified professionals. Best data science training institutes in chennai with placement advanced syllabus. data science training chennai offers classroom, online training courses and certifications.


Course Features

  • 100 % Placement Assistance
  • Resume Preparation
  • Interview Preparation
  • Missed Sessions Covered
  • Multiple Batches
  • Flexible Timings
  • Practice Course Material
  • Assistance will be provided for Data Science certification.


Course Syllabus

DATA SCIENCE / MACHINE LEARNING USING R

Mathematics Fundamentals

  1. Fundamentals of Statistics
  2. Introduction to Statistics
    • Types of data
    • Measures of central tendency and dispersion
    • Statistical Graphics
  3. Probability and Probability Distributions
    • Binomial Distribution
    • Poisson Distribution
    • Normal Distribution

R Programming

  1. R Programming
    • Introduction to R
    • Data Types
    • Reading data, Subsetting Data
    • Visualizing the Data
    • Input Output Sub setting
    • Control structure
    • Functions
    • Data Exploration
    • Data Harmonization
  2. Descriptive & Inferential Statistics
    • Estimation Theory
    • Sampling Distribution
    • Point Estimation
    • Interval Estimation
    • Sampling Distribution
    • Test of Hypothesis
    • Inference about one population means
    • Inference about two populations means
    • Analysis of Variance Concept
    • Inference about one & two population (Means & Proportion)
    • Analysis of Variance ( 1 Way & 2 Way)

Python Programming

  1. An Introduction to Python
  2. Python Core Objects and Functions
    • Built in modules (Library Functions)
    • Numeric and Math’s Module
    • String/List/Dictionaries/Tuple
    • Complex Data structures in Python
    • Arbitrary data types and their Data Structure
    • Python built in function
    • Python user defined functions
    • Python packages and functions

Machine Learning with Python

  1. Concepts majorly used to explain are:
    • NUMPY
    • SCIKIT LEARN
    • PANDAS
    • Supervised Algorithms
    • Introduction to Machine Learning
    • Naïve Bays Algorithm
    • K-Nearest Neighbor Algorithm
    • Decision Tress (SingleTree)
    • Regression
    • Correlation coefficient
    • Simple Linear Regression
    • Multiple Linear Regression
    • Logistic Regression
    • Time Series Analysis
    • Moving Average
    • Simple Exponential Smoothening
    • Holt-Winters Method
    • ARIMA Models
    • Support Vector Machines
    • Random Forest
    • Support Vector Machines
    • Model Ensembling
    • Bagging
    • Boosting
    • Stacking
  2. Unsupervised Learning Algorithms
    • Cluster Analysis
    • Hierarchical Clustering
    • K-means Clustering
    • Association Rules Mining
    • Principal Components Analysis
  3. Natural Language Processing
    • Term Document Matrix
    • TF-IDF
    • Word Cloud
    • Recommendations Systems
  4. Neural Network

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