data science course content

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DATA SCIENCE ONLINE TRAINING COURSE CONTENT

• website www.eonlinetraining.co
• Contact us _at_ 91 9177040520

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1.Introduction to signal and pattern detection

• Basic commands in R
• Vectors and matrices in R
• Two main file types in Rstudio and importing data
  into R
• Installing packages in Rstudio

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2.Univariate analysis

• Statistical concepts of Frequency
  Distribution/Central Distribution and Dispersion
• Understanding various test
• Test for mean/proportion
• Difference of mean/proportions
• Chi square
• Regression test
• Paired test
• Statistical understanding and R implementation of
  Univariate analysis

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3.Bivariate analysis

• Statistical concepts of Cross tabulations and
  Correlation
• P value interpretation
• Types of correlation explained using a data set
  in R
• Concept of hypothesis
• Chi square test and worked example
• Correlation explained with example
• Statistical understanding and R implementation of
  Bivariate analysis

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4.Advanced visualization

• Heat maps
• Geospatial maps usage and explation of importance
• Small multiples
• Various advanced visualization tools and
  techniques

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5.Business story telling
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6.End to end case study

• Survival analysis end-to-end case study And its
  interpretation
• Attrition analysis and its interpretation
• Active and inactive customers case study and its
  interpretation
• Repeat purchase case study
• Sales trends case study
• segmenting customers case study

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7.MACHINE LEARNING 

• Supervised Learning
• Decisions tree plotting in R using a dataset
• Concept of decision tree
• Classification
• Unsupervised Learning
• Dimension Reduction
• Principle component analysis and implementation
  in R using dataset.
• Clustering
• Time series analysis
• supervised and unsupervised ML from statistical
  point and in R

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8.Regression Analysis

• statistical perspective of Regression

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9.Feature Engineering

• Feature selection
• Feature extraction
• Variable ranking
• Feature subset selection Filter methods and
  wrapper methods

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