Data Science with Machine Learning and Python 


DATA SCIENCE COURSE CONTENT 

• Getting started with arithmetic 
• Reading and writing with R 
• Adding more dimensions to R 
• Controlling the logical flow 
• Exporting and importing the data  
• Data processing and manipulations 
• Descriptive statistics with R  
• Working with qualitative data 
• Probability distributions 
• Interval estimates and predictions 
• Hypothesis testing 
• Inferences about two populations 
• Goodness of Fit 
• Analysis of variance (ANOVA) 
• Simple linear regression 
• Multiple linear regression 
• Logistic regression 
• Count models 
• Censored and truncated regression 
• Working with graphics 
• Creating faceted graphics with Lattice 
• Looking at ggplot2 graphics 

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