Syllabus
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Course Code: MT-CSE-20-13 Course Name: Elective- I - (ii) Data Science using Python |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Introduction to core concepts and technologies: Introduction, Data Science Process, Data Science Toolkit, Types of Data, Example Applications. Data Collection and Management: Sources of data, Data collection and APIs, Exploring and Fixing Data, Data Storage and Management, Using Multiple Data Sources. | |
| 2 | Data Analysis: Introduction, Terminology and Concepts, Introduction to Statistics, Central Tendencies and Distributions, Variance, Distribution Properties and Arithmetic, Samples/CLT, Basic Machine Learning Algorithms, Linear Regression, SVM, Naive Bayes, Applications of Data Science. | |
| 3 | Data Visualisation: Introduction, Types of Data Visualisation, Data for Visualisation: Data Types, Data Encodings, Retinal Variables, Mapping Variables to Encodings, Visual Encodings, Technologies for Visualisation, Recent Trends in Various Data Collection and Analysis Techniques. Application Development Methods of Used in Data Science. | |
| 4 | Python Programming: Python Strings, Operators, Functions, Control Structures, Mutable and Immutable Objects, Recursion, Files and Exception, Classes, List Manipulation, Applications of Python. | |
