FOUNDATIONS OF DATA SCIENCE USING PYTHON 

Syllabus

UNIT – 1: PYTHON LANGUAGE BASICS AND DATA STRUCTURES: Python Language Basics –
Scalar Types – Control Flow. Data Structures and Sequences: Tuple – List – Built-in Sequence
Functions – dict – set- List, Set, and Dict Comprehensions. Functions: Namespaces, Scope,
and Local Functions – Returning Multiple Values – Functions Are Objects – Files and the
Operating System.
Practical:
1. Programs using Data Frames
2. Programs using functions and files3.
UNIT – 2: NUMPY BASICS: The NumPy ndarray: A Multidimensional Array Object – Universal
Functions: Fast Element-Wise Array Functions – Array-Oriented Programming with Arrays –
File Input and Output with Arrays – Linear Algebra – Pseudorandom Number Generation.
Practical:
1. Programs using numpy
2. Programs to solve linear algebra problems with numpy functions
UNIT – 3: PANDAS BASICS: Introduction to pandas Data Structures –Loading and Understanding
Data- Data aggregation for computing Descriptive Statistics- Data Cleaning and Preprocessing
Practical:
1. Programs using numpy
2. Solving linear algebra problems
UNIT – 4: DATA LOADING, STORAGE, AND FILE FORMATS: Reading and Writing Data in Text
Format – Binary Data Formats – Interacting with Web APIs – Interacting with Databases
Practical:
1. Data and Databases
2. Web APIs
UNIT – 5: DATA EXPLORATION: Data Transformation – String Manipulation. Data Wrangling:
Hierarchical Indexing – Combining and Merging Datasets – Reshaping and Pivoting.
Practical:
1. String manipulations
2. Data wrangling
SYLLABUS
IT25201 – FOUNDATIONS OF DATA SCIENCE USING PYTHON