Introduction to Analytics (Associate Analytics – I) Detailed Syllabus for B.Tech third year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Introduction to Analytics (Associate Analytics – I) B.Tech 2016-2017 (R16) third year second sem is as follows.
B.Tech. III Year II Sem. L/T/P/C
Course Code:CS615PE 3/0/0/3
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.
TEXT BOOK:
- Student’s Handbook for Associate Analytics.
REFERENCE BOOKS:
- 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.
- 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.rproject.org/, see Manuals). There are plenty of other free references available from the R Project website.
- Montgomery, Douglas C., and George C. Runger, Applied statistics and probability for engineers. John Wiley & Sons, 2010
- Time Series Analysis and Mining with R. Yanchang Zhao.
For all other B.Tech 3rd Year 2nd Sem syllabus go to JNTUH B.Tech Information Technology 3rd Year 2nd Sem Course Structure for (R16) Batch.
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