DATA SCIENCE

DATA SCIENCE 

UNIT – I: Introduction to Data Science: Data Analysis Life Cycle Overview. Data analysis Discovery, Framing Problem, Developing Initial Hypothesis, Sources of Data, Process for Making Sense of Data, Data Preparation, Performing ETLT, Data Conditioning, Survey and Visualize, Common tools for Data Preparation Phase, Data Exploration and Variable Selection, Common tools for the Model Planning and Building Phase, Communicate Results, Operationalize 

UNIT – II: Describing Data: Observations and Variables, Types of Variables, Central Tendency, Distribution of the Data, Confidence Intervals, Hypothesis Tests, Student t-test 

UNIT – III: Preparing Data Tables: Cleaning the Data, Removing Observations and Variables, Generating Consistent Scales across Variables, New Frequency Distribution, Converting Text to Numbers, Converting Continuous Data to Categories, Combining Variables, Generating Groups, Preparing Unstructured Data

UNIT - IV: Understanding Relationships: Visualizing Relationships between Variables, Calculating Metrics about Relationships. Identifying And Understanding Groups: Clustering, K-means, Association Rules, Apriori Algorithm and Applications of Association Rules.

UNIT – V: Building Models from Data: Linear Regression, Logistic Regression, Bayes Theorem, Naive Bayes Classifier, k-Nearest Neighbours, and Learning Decision Trees from Data. 

TEXT BOOKS: 

1. A Making sense of Data: A practical Guide to Exploratory Data Analysis and Data Mining, 2nd Edition, Glenn J. Myatt, Wiley, 2014. 

2. Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data, EMC Education services, 2015.

REFERENCE BOOKS: 

1. Python Data Science Handbook,1st Edition, Jake VanderPlas, O’Reilly, 2017. 

2. Handbook of Biometrics, Jain, Anil K.; Flynn, Patrick; Ross, Arun A. (Eds.), Springer, 2008 

3. Handbook of Biometrics, Anil K. Jain, Patrick Flynn, Arun A. Ross, Springer, 2007.


All Units PPTS: (LINK)

https://drive.google.com/drive/folders/1kQCRvToFDx2-e7VUXWmb80_2OpdneFrh?usp=sharing

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