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To impart basic knowledge on regulatory authorities and agencies governing the manufacture and sale of pharmaceuticals.
To recognize, understand and apply the language, theory and models of the field of business analytics
Module:I Overview of Business Analytics:
Module 2: Descriptive Analytics, Predictive Analytics and Prescriptive Analytics:
Module 3: Data Issues:
Module 4: Data Mining and Testing: Definition, Concepts, Applications and Methods.
Module 5: Security: Security requirements, User Access, Data classification, User Classification, Data Movement, And Impact of security on design.
Module 6: Decision Modelling and Forecasting:
Module 7: Fundamentals of R Language:
Text Books Recommended
Definition, Evolution, Architecture, Benefits, Future. Business, Analytics as Solution for Business Challenges.
Effective Predictive Analytics, Integrating Analytics in Business Processes, Unstructured Data Analytics, Balanced Scorecard, Dashboards, KPI based on Dashboard and Scorecard
LOFT effect, Data Quality, Master Data Management, Data Profiling. Why are Business Analytics important
PPT-Data quality
Introduction to Descriptive Analytics, Visualizing and Exploring Data, Descriptive Statistics, Sampling and Estimation, Introduction to Probability Distributions
Introduction to Predictive Analytics, Predictive Modeling (Logic-driven models and data driven models)
Introduction to Prescriptive Analytics, Prescriptive Modeling, Non-linear Optimization
Organization/sources of data, Importance of data quality, Dealing with missing or incomplete data, Data Classification Data Warehouse: Definition, Features, Applications, Types of data warehouse
Architecture: Business Analysis framework, 3-tier data warehouse framework. Data Warehouse Models: Virtual Warehouse, Data Mart and Enterprise warehouse.
https://www.slideshare.net/IT-BA-Certification/ba-toolstechniques
Metadata: Meaning and Categories, Role of metadata, Metadata respiratory, Challenges for metadata management, Data Cube
https://www.slideshare.net/Dataversity/slides-metadata-management-for-the-governance-minded
Online Analytical Processing Server (OLAP): Types, OLAP operations, OLAP Vs Operational Database (OLTP) SCHEMA: Star Schema, Snowflake schema, Fact Constellation schema
https://www.slideshare.net/WalidElbadawy/olap-on-line-analytical-processing
Data Mining and Testing: Definition, Concepts, Applications and Methods.
https://www.slideshare.net/RaZoR141092/the-8-step-data-mining-process
Security: Security requirements, User Access, Data classification, User Classification, Data Movement, And Impact of security on design.
https://www.slideshare.net/RaZoR141092/the-8-step-data-mining-process
Optimization: Using excel to solve business problems Eg: Marketing Mix, Portfolio optimization etc.
https://www.slideshare.net/vanecekpavel/marketing-mix-optimization-5918003
Linear Programming: Introduction, Types of Linear programming problems/Models, Linear programming Model elements, Model formulation procedure, Computer based solutions for linear programming using Simplex method
https://www.slideshare.net/nagendraamatya/linear-programming
Duality and Sensitivity Analysis: What is Duality?, Duality and Sensitivity analysis problems
https://www.slideshare.net/KiranJadhav23/sensitivity-analysis-linear-programming-copy
Integer Programming: Introduction, Solving IP problems/Models Forecasting: Introduction, Types of Variation in Time series data, Simple Regression Model, Multiple Regression Models
https://www.slideshare.net/JosephKonnully/linear-programming-ppt
Simulation: Introduction, Types of Simulation.
https://www.slideshare.net/saneemnasim/simulation-modelling-31263694
Decision Theory: Introduction, Decision theory model elements, types of decision environments, decision theory formulation, decision making under uncertainty and risk, Decision trees.
https://www.slideshare.net/iamkuldeep/decision-theory-66766212
Introduction, Basic Statistical Analysis using R, Process of Business Analytics
https://www.slideshare.net/PrincyFrancisM/statistical-analysis-119122733
Multiple regression- Theory and Walk through with R
https://www.slideshare.net/crlmgn/multiple-regression-presentation
Clustering and Segmentation- Theory and Walk through with R
https://www.slideshare.net/21_venkat/cluster-analysis-17406372
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