Course Learning objectives:
To make students to understand data analysis and visualization process
To make students to use tools to extract trends from existing data to drive business decisions
To make students to analyze and to visualize different characteristics of a data set.
To make students to develop summarized reports
Course outcome:
At the end of the course the student will be able to :
CO1 : Understand Data Mining and its importance. - L2
CO2 : Apply knowledge of research design for business problems. - L3
CO3 : Analyze the cause and effect relationship between the variables from the analysis. - L4
CO4 : Evaluate Regression and decision tree based methods to solve business problems. - L5
Suggested Learning Resources: Books
John W. Tukey “Exploratory Data Analysis”, 1st Edition, ISBN13: 978-0201076165, ISBN-10: 0201076160
Foster Provost and Tom Fawcett. “Data Science for Business: What you need to know about data mining and data-analytic thinking”. O'Reilly Media, latest edition, ISBN-13: 978-1449361327
Hadley Wickham, Garrett Grolemund."R for Data Science: Import, Tidy, Transform, Visualize, and Model Data", Publisher: "O'Reilly Media, Inc.", 2016, ISBN 1491910364, 9781491910368
Cathy O'Neil, Rachel Schutt. "Doing Data Science: Straight Talk from the Frontline", Publisher: "O'Reilly Media, Inc.", 2013, ISBN 144936389X, 9781449363895