{"product_id":"9789355851741-3","title":"Fundamentals of Data Science and Analytics  for BE Anna University R21CBCS (III- CS\u0026BS \u0026 Semester - IV AI\u0026DS- AD3491)","description":"\u003cp\u003eSyllabus Fundamentals of Data Science and Analytics  -(AD3491)  UNIT I \tINTRODUCTION TO DATA SCIENCE Need for data science - benefits and uses - facets of data - data science process - setting the research goal - retrieving data - cleansing, integrating and transforming data - exploratory data analysis - build the models - presenting and building applications. (Chapter - 1) UNIT II \tDESCRIPTIVE ANALYTICS Frequency distributions - Outliers - interpreting distributions - graphs - averages - describing variability - interquartile range - variability for qualitative and ranked data - Normal distributions - z scores -correlation - scatter plots - regression - regression line - least squares regression line - standard error of estimate - interpretation of r2 - multiple regression equations - regression toward the mean. (Chapter - 2) UNIT III \tINFERENTIAL STATISTICS Populations - samples - random sampling - Sampling distribution - standard error of the mean - Hypothesis testing - z-test - z-test procedure -decision rule - calculations - decisions - interpretations - one-tailed and two-tailed tests - Estimation - point estimate - confidence interval - level of confidence - effect of sample size. (Chapter - 3) UNIT IV \tANALYSIS OF VARIANCE t-test for one sample - sampling distribution of t - t-test procedure - t-test for two independent samples - p-value - statistical significance - t-test for two related samples. F-test - ANOVA - Two factor experiments - three f-tests - two-factor ANOVA - Introduction to chi-square tests. (Chapter - 4) UNIT V\tPREDICTIVE ANALYTICS Linear least squares - implementation - goodness of fit - testing a linear model - weighted resampling. Regression using StatsModels - multiple regression - nonlinear relationships - logistic regression - estimating parameters - Time series analysis - moving averages - missing values - serial correlation - autocorrelation. Introduction to survival analysis. (Chapter - 5)\u003c\/p\u003e","brand":"Technical Publications","offers":[{"title":"Default Title","offer_id":47281251287211,"sku":"12366725193","price":280.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0620\/3355\/9723\/files\/9789355851741_3_d0129b8d-0f0c-48bc-9bba-8df857a38064.jpg?v=1782371782","url":"https:\/\/technicalpublications.in\/products\/9789355851741-3","provider":"Technical Publications","version":"1.0","type":"link"}