Description Data Science Course Content Introduction to Data Science, importance of Data Science, statistical and analytical methods, deploying Data Science for Business Intelligence, transforming data, machine learning and introduction to Recommender systems. Reasons to Use Data Science – Project Life cycle How Data Science solves real world problems, Data Science Project Life Cycle, principles of Data Science, introduction to various BI and Analytical tools, data collection, introduction to statistical packages, data visualization tools, R Programming, predictive modelling, machine learning, artificial intelligence and statistical analysis. Data Conversion Converting data into useful information, Collecting the data, Understand the data, Finding useful information in the data, Interpreting the data, Visualizing the data Terms of Statistics Descriptive statistics, Let us understand some terms in statistics, Variable Plots Dot Plots, Histogram, Stemplo