JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives:

• To introduce the terminology, technology and its applications
• To introduce the concept of Analytics for Business
• To introduce the tools, technologies & programming languages which is used in day to day analytics cycle

UNIT - I

Introduction to Analytics and R programming (NOS 2101): Introduction to R, R Studio (GUI): R Windows Environment, introduction to various data types, Numeric, Character, date, data frame, array, matrix etc., Reading Datasets, Working with different file types .txt,. csv etc. Outliers, Combining Datasets, R Functions and loops. Manage your work to meet requirements (NOS 9001): Understanding Learning objectives, Introduction to work & meeting requirements, Time Management, Work management & prioritization, Quality & Standards Adherence,

UNIT - II

Summarizing Data & Revisiting Probability (NOS 2101): Summary Statistics - Summarizing data with R, Probability, Expected, Random, Bivariate Random variables, Probability distribution. Central Limit Theorem etc. Work effectively with Colleagues (NOS 9002): Introduction to work effectively, Team Work, Professionalism, Effective Communication skills, etc.

UNIT - III

SQL using R Introduction to NoSQL, Connecting R to NoSQL databases. Excel and R integration with R connector.

UNIT - IV

Correlation and Regression Analysis (NOS 9001): Regression Analysis, Assumptions of OLS Regression, Regression Modelling. Correlation, ANOVA, Forecasting, Heteroscedasticity, Autocorrelation, Introduction to Multiple Regression etc.

UNIT - V

Understand the Verticals - Engineering, Financial and others (NOS 9002) Understanding systems viz. Engineering Design, Manufacturing, Smart Utilities, Production lines, Automotive, Technology etc. Understanding Business problems related to various businesses. Requirements Gathering: Gathering all the data related to Business objective.

R16 B.TECH CSE.

TEXT BOOK:

• 1. Student’s Handbook for Associate Analytics.

REFERENCE BOOKS:

• 1. Introduction to Probability and Statistics Using R, ISBN: 978-0-557-24979-4, is a textbook written for an undergraduate course in probability and statistics.
• 2. An Introduction to R, by Venables and Smith and the R Development Core Team. This may be downloaded for free from the R Project website (http://www.r- project.org/, see Manuals). There are plenty of other free references available from the R Project website.
• 3. Montgomery, Douglas C., and George C. Runger, Applied statistics and probability for engineers. John Wiley & Sons, 2010
• 4. Time Series Analysis and Mining with R. Yanchang Zhao. R16 B.TECH CSE.