Data Science Course using R

✅ What is data science?

✅ Who are data scientist?

✅ What data scientist do?

✅ What skills data scientist require?

✅ Data Science Goals

✅ Data Scientists and Data Analysts responsibilities.

✅ Different tools available for Data Science

✅ Installing R and R-Studio

✅ R packages and R Operators

✅ if statements and loops (for, while, repeat, break, next), switch case

✅ Bar Graph (Simple, Grouped, Stacked)

✅ Histogram

✅ Pie Chart, Line Chart, Box (Whisker) Plot, Scatter Plot

✅ Correlogram

✅ Terminologies of Statistics

✅ Measures of Centers, Measures of Spread

✅ Probability

✅ Normal Distribution

✅ Binary Distribution

✅ Hypothesis Testing, Chi-Square Test

✅ ANOVA

✅ Supervised Learning – Linear Regression, Bivariate Regression, Multiple Regression Analysis, Correlation ( Positive, negative and neutral)

✅ Industrial Case Study

✅ Machine Learning Use-Cases

✅ Machine Learning Process Flow

✅ Machine Learning Categories

✅ Logistic Regression

✅ What are Classification and its use cases?

✅ What is Decision Tree?

✅ Algorithm for Decision Tree Induction

✅ Confusion Matrix

✅ Creating a Perfect Decision Tree

✅ Random Forest

✅ What is Naive Bayes?

✅ What is Clustering & its Use Cases?

✅ What is K-means Clustering?

✅ What is Canopy Clustering?

✅ What is Hierarchical Clustering?

✅ Market Basket Analysis (MBA)

✅ Association Rules

✅ Apriori Algorithm for MBA

✅ Introduction of Recommendation Engine

✅ Types of Recommendation – User-Based and Item-Based

✅ Recommendation Use-case

✅ Introduction to Text Mining

✅ Introduction to Sentiment

✅ Setting up API Bridge, between R and Twitter Account

✅ Extracting Tweet from Twitter Account

✅ Scoring the tweet

✅ What is Time Series data?

✅ Time Series variables

✅ Different components of Time Series data

✅ Visualize the data to identify Time Series Components

✅ Implement ARIMA model for forecasting

✅ Exponential smoothing models

✅ Identifying different time series scenario based on which different Exponential Smoothing model can be applied

✅ Implement respective ETS model for forecasting