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DATA SCIENCE WITH R.pdf
- 1. Course Content Data Science WithR tactbdg@collabera.com www.collaberatact.com
- 2. Data Science Overview ŸWhat is Data Science? Ÿ Skill-set required Ÿ Job Opportuni es Descrip ve & Inferen al Sta s cs Ÿ ·Con nuous vs. Categorical variables Ÿ ·Mean, Median, Mode, Standard Devia on, Quar le, IQR Ÿ ·Hypothesis tes ng, z-test, t-test Data Analy cs using R programming – Fundamentals Ÿ Installa on of R Studio Ÿ Overview of R Studio components Ÿ Data Structures oVector oList oMatrices oData Frame oFactor Ÿ Slicing and Sub-se ng oVector oList oMatrix oData Frame Ÿ Func ons in R oIn-built func ons oUser-defined func ons Ÿ Loops in R owhile ofor obreak onext Ÿ Data Import in R Data Analy cs using R programming – Advanced Ÿ Apply family of func ons olapply osapply otapply Ÿ Data Manipula on using dplyr Ÿ Data Visualiza on using ggplot2 Machine Learning using R – Part 1 Ÿ What is Machine Learning? Ÿ Supervised vs. Unsupervised Learning Ÿ Exploratory Data Analysis tactbdg@collabera.com www.collaberatact.com
- 3. oUnivariate analysis oBoxplot oBivariate analysis oScaerplot o Correla on o Outliers oRemove duplica on oMissing value imputa on Ÿ Underfi ng vs. Overfi ng Ÿ Linear Regression oSimple oMul ple oAssump ons of Linear Regression oEvalua ng Accuracy of model: k-Fold Cross valida on Ÿ Logis c Regression oConfusion Matrix oROC Curve Ÿ Time Series Forecas ng oMoving Average oExponen al smoothing oHolt Winter's oARIMA Machine Learning using R – Part 2 Ÿ Naïve Bayes Ÿ Support Vector Machine Ÿ K-Nearest Neighbour Ÿ Decision tree Ÿ Random Forest Ÿ K-Means clustering Big Data using Hadoop & Spark Ÿ Introduc on to Big Data Ÿ Overview of Hadoop & its Ecosystem Ÿ Introduc on to NoSQL Ÿ Overview of Apache Spark tactbdg@collabera.com www.collaberatact.com