Data Science

Data Science Introduction to Analytics • Python/R for Data Science • Introduction to Python/R • Dealing with Data using Python/R • Visualization using Python / R • Python-Markdown • Missing Value Treatment • Exploratory Data Analysis using Python/R Marketing & CRM • Core concepts of marketing • Customer Life Time Value • Marketing metrics for CRM Statistical Methods for Decision Making • Descriptive Statistics • Introduction to Probability • Probability Distributions • Hypothesis testing and estimation • Goodness of Fit Business Finance • Fundamentals of Finance • Working Capital Management • Capital Budgeting • Capital Structure SQL Programming • Introduction to DBMS • ER diagram • Schema design • Key constraints & basics of normalization • Joins • Subqueries involving joins & aggregations • Sorting • Independent subqueries • Correlated subqueries • Analytic functions • Set operations • Grouping and filtering Optimizing Technique • Linearr programming • Goal Programming • Integer Programming • Non-Linear Programming Predictive Modeling • Multiple Linear Regression(MLR) for Predictive Analytics • Logistic Regression • Linear Discriminant Analysis Advanced Statistics • Analysis of Variance • Regression Analysis • Dimension Reduction Techniques Data Mining • Introduction to Supervised and Unsupervised learning • Clustering • Decision Trees • Random Forest • Neural Networks

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