Course Details

JNTUA | CSE - Data Science | 2 Year | Semester - I

JNTU Anantapur

5 Subjects 0 Lectures

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Subjects Covered | 5

Advanced Python Programming for Data Science

Discrete Mathematics and Graph Theory

Digital Electronics & Microprocessors

Advanced Data Structures & Algorithms

Computer Organization

Advanced Python Programming for Data Science

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Discrete Mathematics and Graph Theory

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Digital Electronics & Microprocessors

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Advanced Data Structures & Algorithms

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Computer Organization

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

JNTUA | CSE - Data Science | 2 Year | Semester - I

Subjects Covered | 5

Advanced Python Programming for Data Science

1 The Role of Python in Data Science

2 Conditioning and Working with Real Data

3 Shaping and Performing Action on Data

4 MatPlotLib and Visualization of Data

5 Wrangling Data

Discrete Mathematics and Graph Theory

1 Mathematical Logic

2 Set Theory

3 Combinatorics

4 Recurrence Relations

5 Graph Theory

Digital Electronics & Microprocessors

1 Number Systems & Code Conversion

2 Combinational Circuits

3 Sequential Circuits

4 Microprocessors - I

5 Microprocessors - Ii

Advanced Data Structures & Algorithms

1 Introduction to Algorithms

2 Binary Search Trees

3 Red-Black Trees, Splay Trees & Hash Tables

4 Divide and Conquer, Greedy Method

5 Dynamic Programming & Backtracking

Computer Organization

1 Basic Structure of Computer, Machine Instructions and Programs

2 Arithmetic, Basic Processing Unit

3 The Memory System

4 Input/Output Organization

5 Pipelining, Large Computer Systems