PYTHON FOR DATA SCIENCE - Nptel · PYTHON FOR DATA SCIENCE TYPE OF COURSE : New | Elective | UG...
1
PYTHON FOR DATA SCIENCE TYPE OF COURSE : New | Elective | UG COURSE DURATION : 4 weeks (2 '19 - 2 '19) EXAM DATE : 2019 PROF. RAGHUNATHAN RENGASAMY Department of Chemical Engineering IIT Madras PRE-REQUISITES : Knowledge of basic data science algorithms INTENDED AUDIENCE : 4th year ngineering Undergraduates INDUSTRIES APPLICABLE TO : Honeywell, bb, ord, Gyan Data pvt. Ltd. COURSE OUTLINE : The course aims at equipping participants to be able to use python programming for solving data science problems ABOUT INSTRUCTOR : Prior to joining adras as a Prof..Rengaswamy was a Professor of Chemical ngineering and Co-director of the Process control and ptimization Consortium at exas ech niversity, ubbock, . He was also a Professor and ssociate Professor at Clarkson niversity, and an ssistant Professor at ombay. His major research interests are in the areas of ault Detection and Diagnosis and Development of Data cience lgorithms for anufacturing industries. COURSE PLAN : Week 1&2: Basics of Python, Control structures, Scripts and Functions, Graphs in python, Numpy Pandas Data structures W e e k 3 & 4 : Case study illustration in python using 2-3 ml algorithms. 16 120
Transcript of PYTHON FOR DATA SCIENCE - Nptel · PYTHON FOR DATA SCIENCE TYPE OF COURSE : New | Elective | UG...
PYTHON FOR DATA SCIENCE
TYPE OF COURSE : New | Elective | UGCOURSE DURATION : 4 weeks (2 '19 - 2 '19) EXAM DATE : 2019
PROF. RAGHUNATHAN RENGASAMYDepartment of Chemical EngineeringIIT Madras
PRE-REQUISITES : Knowledge of basic data science algorithmsINTENDED AUDIENCE : 4th year ngineering UndergraduatesINDUSTRIES APPLICABLE TO : Honeywell, bb, ord, Gyan Data pvt. Ltd.
COURSE OUTLINE : The course aims at equipping participants to be able to use python programming for solving data science problems
ABOUT INSTRUCTOR : Prior to joining adras as a Prof..Rengaswamy was a Professor of Chemical
ngineering and Co-director of the Process control and ptimization Consortium at exas ech niversity, ubbock, . He was also a Professor and ssociate Professor at
Clarkson niversity, and an ssistant Professor at ombay. His major research interests are in the areas of ault Detection and Diagnosis and Development of Data
cience lgorithms for anufacturing industries.
COURSE PLAN :
Week 1&2: Basics of Python,Control structures, Scripts and Functions, Graphs in python,Numpy Pandas Data structures
Week 3&4: Case study illustration in python using 2-3 ml algorithms.
16
120
