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
- "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
Program can be tailor made to 2 months, 3 months, 6 months and 1 year.