Fundamental Big Data Analysis & Science
Contenidos:
- Data Science, Data Mining & Data Modeling
- Big Data Dataset Categories
- Exploratory Data Analysis (EDA) (including numerical summaries, rules & data reduction)
- EDA analysis types (including univariate, bivariate & multivariate)
- Essential Statistics (including variable categories & relevant mathematics)
- Statistics Analysis (including descriptive, inferential, correlation, covariance & hypothesis testing)
- Data Munging & Machine Learning
- Variables & Basic Mathematical Notations
- Statistical Measures & Statistical Inference
- Distributions & Data Processing Techniques
- Data Discretization, Binning, Clustering
- Visualization Techniques & Numerical Summaries
- Correlation for Big Data
- Time Series Analysis for Big Data
Category : BIG DATA
Date : 04 Jun 2015