Dataanalysis
Data Analysis Training
Topics | SubTopics |
---|---|
Introduction to Data Science | What is Data Science , Disciplines that make up Data Science ,What does a data scientist do with the data? , Data Science Applications (Churn Analysis, Segmentation and Profiling, Recommendations etc.,) |
Understanding Data | Understanding Data ,Understanding Data Types,Importance and utility of big data (unstructured data),Qualitative and Quantitative Data |
Working with R | Basic Data Types,Vector,Matrix,List,Data Frame,Data Import and export,Control Structures,Some important R Packages |
Data Munging | Data Pre-processing,Handling variety of file formats,Handling missing values,Type Conversion |
Data Wrangling | R's apply and plyr Packages |
Exploratory Data Analysis and Statistical Graphs/Charts | Univariate Analysis,Central Tendencies : Mean, Median, Mode,Dispersion : Range, Variance, Standard Deviation,Other Measures : Quartile and Percentile, Interquartile Range |
EDA (Additional Characteristics of Data) | Skew, Kurtosis and Moments,Relationship between attributes : Covariance, Correlation Coefficient,Unreasonable effectiveness of Data,Anscombe's quartet |