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Data Science


IGCP Analytics is one of the Best Data Science Training Institute in Hyderabad which is best in class course structure to provide current industry-standard training which will enable to get your dream job in top companies of the world. IGCP Analytics, providing the best data science training, is a renowned training service provider providing practical knowledge through real time projects and dedicated placement cells for all.

The curriculum of Data Science Training is designed to provide in-depth knowledge of all modules from basic to advanced level. We have corporate experts with over 10 years of experience working on projects supervising data science training. Data science training includes both onsite and offsite training which provides a suitable environment for trainees that will help them cope with difficult and complex situations upon entering the reality of the IT sector in future.

IGCP Analytics is the Best data science training institute in Hyderabad, which includes data science training along with an overview on real-time projects. Data science certification training has been designed by corporate experts to provide advanced data science knowledge to trainees, usually to apply this broad knowledge to their chosen field of work.

We believe in giving an 'hands-on experience', so each trainee is supported to practically conduct each topic and concept discussed in sessions supervised by our highly experienced corporate experts So that they can get a better understanding of the concepts they can. The same applies in their careers.

We conduct classes regularly on all workdays and special sessions can also be scheduled on weekends. We also offer fast-track training programs for students or working professionals who wish to upgrade themselves.



  • Types of data
  • Measures of central tendency and dispersion
  • Statistical Graphics

Probability and Probability Distributions

  • Binomial Distribution
  • Poisson Distribution
  • Normal Distribution


R Programming Basics

  • R Programming
  • Data Types
  • Reading data, Subsetting Data
  • Visualizing the Data

Statistical Inference

Estimation Theory

  • Sampling Distribution
  • Point Estimation
  • Interval Estimation

Testing of Hypothesis

  • Inference about one population means
  • Inference about two populations means
  • Analysis of Variance

Regression Analysis

  • Correlation coefficient
  • Simple Linear Regression
  • Multiple Linear Regression
  • Logistic Regression

Time Series Analysis and Forecasting

  • Moving Average
  • Simple Exponential Smoothening
  • Holt-Winter's Method
  • ARIMA Models

PYTHON Programming Basics

  • Data Types
  • Anaconda Installation
  • Numpy, Pandas, Dictionaries
  • Reading and Writing Data: Text files, Excel sheets
  • Subsetting the data
  • Control Structures
  • Creating Functions


Supervised Learning

  • Na���ve Bayes Algorithm
  • K-nearest Neigbour Algorithm
  • Decision Trees ( SingleTree )
  • Random Forest
  • Support Vector Machines
  • Linear Discriminant Analysis
  • Neural Network

Model Ensembling

  • Bagging
  • Boosting
  • Stacking

Unsupervised Learning

Cluster Analysis

  • Hierarchical Clustering
  • K-means Clustering

Association Rules Mining

Principal Components Analysis

Natural Language Processing(NLP)/ Text Mining

  • Term Document Matrix
  • TF-IDF


Introduction to Tableau

  • Introduction to Tableau
  • Installing Tableau Public
  • Data Connection
  • Tableau Environment
  • Sorting
  • Data Types

Tableau Architecture

Basics Statistics

Basic Charts

Deep Dive into Popular Chart Suggestions

Data Visualization Principles

Features of Tableau

  • Parameters
  • Actions
  • Calculated Fields
  • Sets
  • Groups

Tableau Maps

Introduction to Tableau Server

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2nd Floor, Above Super Market, Near Sripuram Colony Bus Stop, Moosarabagh, Malakpet, Hyderabad-500036

+91 9030070095,

+91 8790209568.