Syllabus - Internet of Things and Cyber Security Including Block Chain Technology (IS 601)

CSE

Internet of Things and Cyber Security Including Block Chain Technology (IS 601)

VI

UNIT I

Structured and unstructured Data, Overview of Data Analytics, Types of data analytics: Descriptive Data Analytics, Measure of Central Tendency, Measurement of Dispersion, Predictive, Data Collection Strategies – Data Pre-Processing Overview – Data Cleaning – Data Integration and Transformation – Data Reduction – Data Discretization.

UNIT II

Applications of Probability Distribution, Sampling and Sampling Distribution, Hypothesis Testing, Z-test, T-test, Skewness and Kurtosis, Data Normalization, Two sample testing and ANOVA.

UNIT III

Predictive Data Analytics: Univariate and Multivariate Exploration of Data, Classification and Regression, K-means Clustering, Linear regression, KNN, Logistic regression, Decision trees, Random Forest, ANN

UNIT IV

Overview of the Data Analyst Ecosystem, Different Types of File Formats, Data Pipelines, Foundations of Big Data, Data Visualization: Tools for data analytics, Histogram, Box Plots, Correlation, Heatmap, Python libraries for data handling, Numpy, Matplotlib, Pandas, Seaborn.

UNIT V

Case Study in IoT, Industrial IoT, Medical IoT, Blockchain, Cryptocurrency, etc.

Practicals

Reference Books

  • Joel Grus, Data Science from Scratch, Shroff Publisher Publisher /O’Reilly Publisher Media

  • Annalyn Ng, Kenneth Soo, Numsense! Data Science for the Layman, Shroff Publisher Publisher

  • Cathy O’Neil and Rachel Schutt. Doing Data Science, Straight Talk from The Frontline. O’Reilly Publisher Media.

  • Jure Leskovek, Anand Rajaraman and Jeffrey Ullman. Mining of Massive Datasets. v2.1, Cambridge University Press.

  • Jake VanderPlas, Python Data Science Handbook, Shroff Publisher Publisher /O’Reilly Publisher Media

  • Philipp Janert, Data Analysis with Open Source Tools, Shroff Publisher Publisher /O’Reilly Publisher Media.