Online Training: Batch starts on Oct 22nd,2018 at 7:30 PM Central Time, For a free demo please contact +1 (469) 287-7949 ::   Hyderabad: Batch Starts on 20 Oct 2018, Call Help Desk +91 90001 55700.::   Hyderabad: Free Seminar by Industry Expert on 20 Oct 2018. Call Help Desk +91 90001 55700.::   Chennai: Batch Starts on 20 Oct 2018, Call Help Desk +91 89393 73021::   Bangalore: Batch Starts on 27 Oct 2018, Call Help Desk +91 9742306227 / 8147766658 ::   Pune: Free Demo on 20 Oct 2018; Call Help Desk +91 77220 37493 ::   Pune: Batch Starts on 27 Oct 2018, Call Help Desk +91 77220 37493.::   Bangalore: Free Seminar by Industry Expert on 20 Oct 2018. Call Help Desk +91 9742306227 / 8147766658::   Mumbai: Batch Starts on 20 Oct 2018, Call Help Desk +91 7414917172.::  

Data Science Internship Programs

  • Batch Starts on 10 May 2018, Call Help Desk +91 90001 55700
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We are glad to announce that we have introduced Data Science Internship Programs (Self sponsored) for professionals who want to have hands on experience.

With associations with IT Companies, we are providing this program. Presently, this program is available in COEPD Hyderabad premises.

R language has been the game changer in Data Analytics industry. It is the most popular analytical software compared to any of its rival commercial Data Analytics products. R has the potential to offer bright job prospects for both fresher and experienced. R Language is ranked at 8th position in TIOBE language rankings. At COEPD, we provide finest Data Science and R-Language training. At COEPD, we provide finest Datascience training.

This internship is intelligently dedicated to our avid and passionate participants predominantly acknowledging and appreciating the fact that they are on the path of making a career in Data Science discipline. This internship is designed to ensure that in addition to gaining the requisite theoretical knowledge, the readers gain sufficient hands-on practice and practical know-how to master the nitty-gritty of the Data Science profession. More than a training institute, COEPD today stands differentiated as a mission to help you "Build your dream career" - COEPD way.

Pre - Requisites:
  • Should be Graduate
  • Basic Communication Skills
  • Basic Computer awareness Skills.
What you will do as an Intern?
  • Undergo training for required courses
  • Understand client requirements
  • Develop required code to meet clients requirements
  • Document the in line code
  • Test the developed code
  • Deploy the code
  • Capture client’s acceptance
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  • "Complete one International Certification" - expense covered in Internship Fees.

Highlights of the course

  • Introduction to R
    • What is R?
    • Downloading and Installing R
  • Getting data into R
    • Typing in small data sets
    • Concatenating data with the c function
    • Combining variables with c, cbind & rbind functions
    • Combining data with the vector function
    • Combining data with the matrix function
    • Combining data with the data.frame function
    • Combining data with the list function
    • Importing data
  • Accessing variables and managing subsets of data
    • Accessing variables from a data frame
    • Accessing subsets of data
    • Combining two data sets
    • Exporting data
  • Simple functions
    • The tapply Function
    • The sapply and lapply functions
    • The summary function and table function
  • An introduction to basic plotting tools
    • The plot function
    • Symbols, colors, and sizes
    • Adding a smoothing line
  • Loops and functions
    • Introduction to loops
    • Loops
    • Functions
  • Graphing tools
    • Pie chart
    • Bar and strip chart
    • Boxplot
    • Cleveland dot plots
    • Revisiting the plot function
    • The pair plot
    • The co plot
  • An Introduction to the lattice package
    • High-level lattice functions
    • Multi panel scatterplots: xy plot
    • Multi panel boxplots: bw plot
    • Multi panel Cleveland Dot plots
    • Multi panel histograms: histogram
    • Panel functions
    • 3-D scatterplots and surface and contour plots
  • Statistics basics with R
    • Probability & Distributions
    • Random Numbers
    • Descriptive Statistics and graphics
  • Simple regression and correlation
    • Simple linear regression
    • Residuals and fitted values
    • Prediction and confidence bands
  • Analysis of variance and the kruskal-wallis test
    • One-way analysis of variance
    • Kruskal-wallis test
    • Two-way analysis of variance
    • The friedman test
  • Multiple regression
    • Plotting multivariate data
    • Model specification and output
    • Model search
  • Logistic regression
    • Generalized linear models
    • Logistic regression on tabular data
    • Likelihood profiling
    • Logistic regression using raw data
    • Prediction
    • Model checking
  • Rates and poisson regression
    • Basic idea
    • Fitting poisson models
    • Computing rates
  • Non-linear curve fitting
    • Basic usage
    • Finding starting values
    • Self-starting models
    • Profiling
  • Common R mistakes
    • Problems importing data
    • Attach misery
    • Non- attach misery ($) & log of zero
    • Log of zero
    • Miscellaneous errors
  • Data Science – R Language Implementation.
  • Points and space
    • Concept
    • Application of the concept
    • R Language implementation
    • Visualization
  • Set theory
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Vectors
    • Concept
    • Application of the concept
    • R Language implementation
    • Visualization
  • Matrices
    • Concept
    • Application of the concept
    • R Language implementation
    • Visualization
  • Graphs
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Differential equations
    • Concept
    • Application of the concept
    • R Language implementation
    • Visualization
  • Linear algebra
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Generalized linear models
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Multinomial data
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Data pre-processing
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Data transformations
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • High dimensional data
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Dimensionality reduction
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Data visualization
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Stationary processes
    • Concept
    • Application of the concept
    • R Language implementation
    • Visualization
  • Frequency distribution
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Measures of dispersion
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Skewness
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Normal distributions
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Binomial distribution
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Probability
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Conditional probability
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Subjective probability
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Multiplication law of probability
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Mutually exclusive events and independent events
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Bayes theorem
    • Concept
    • Application of the concept
    • R language Implementation
    • Visualization
  • Random variables
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Correlation and regression
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Logistic regression
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Multinominal logistic regression
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Count regression or poisson regression
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Non parametric regression
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Multivariate analysis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Single factor studies
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Multi factor studies
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Specialized study designs
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Testing of hypothesis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Sampling
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Design and analysis of experiments
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Analysis of variance (ANOVA)
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Linear regression
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Non-linear regression
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Design of experiments
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Multivariate analysis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Canonical correlation
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Discriminant analysis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Factor analysis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Cluster analysis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Multivariate analysis of variance (MANOVA)
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Time series analysis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Forecasting analysis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Quality control
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Linear programming problem
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Game theory
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Transportation problem
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Simulation
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Decision analysis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Decision trees
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Assignment problems
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Predictive analysis
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Data mining concepts
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Neural networks
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Weka data mining
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Item set mining
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Sequence mining
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Graph pattern mining
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Kernal methods
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Classification tree
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Likelihood theory
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Arbitrage theory
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Machine learning
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Ensemble learning
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization
  • Estimation
    • Concept
    • Application of the concept
    • R language implementation
    • Visualization

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