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Course Overview
Schedule of Classes
Course Curriculum
21 Subjects
OLD_SKT_PG_Theory_Python
157 Learning Materials
Introduction to Programming Languages
Programming Language Paradigm
External Link
Imperative Programming Languages
External Link
Declarative Programming Languages
External Link
History of Programming Languages
External Link
Classification of Programming Languages
Machine Level Programming Language
External Link
Assembly Level Programming Language
External Link
High Level Programming Language
External Link
High Level Programming Languages
Introduction
External Link
FOTRAN
External Link
COBOL
External Link
ALGOL
External Link
BCPL & PASCAL
External Link
C Language
External Link
C++
External Link
JAVA
External Link
Python
External Link
Introduction to Python Programming
About Python Programming Language
External Link
History of Python
External Link
Characteristics of Python
External Link
Python Environment
Installation of Python
External Link
Compile and Running
External Link
Python Documentation
External Link
PIP
External Link
Editors & IDE's
Introduction to IDE
External Link
PyCharm
External Link
Anaconda
External Link
Spyder
External Link
Jupyter
External Link
Running Python Script
External Link
Getting Started with Python Programming
Creating your First Python Program
External Link
Reading & Printing to Screen
External Link
Interactive & Script Mode
External Link
Python File Extensions
External Link
Basic Concepts in Python
Shell as a Calculator
External Link
Comments in Python
External Link
Multiline Statements
External Link
Quotations in Python
External Link
Variables
Introduction to Variables
External Link
Naming Variables
External Link
Mnemonic Variable Names
External Link
Reserved Words
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Data Types
Values & Types
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Numerical Data Type
External Link
String Data Type
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Working with Variables
Multiple Assignment
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Swap Variables
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Type Conversion
External Link
Mutable vs Immutable Objects
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Number System Conversion
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Operators
Arithmetic Operator
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Assignment Operator
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Comparison Operator
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Logical Operator
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Bitwise Operator
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Membership Operator
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Operator Precedence
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Evaluating Expression
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Decision Making
Introduction to Decision Making
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if Statement
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if...else Statement
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elif Statement
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Nested if...else Statement
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Loops
Introduction to Loops
External Link
While Loop
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For Loop
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Nested Loops
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Break Statement
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Continue Statement
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Pass Statement
External Link
Collections : List - 1
Introduction to Collections
External Link
Introduction to List
External Link
Accessing Items in a List
External Link
Loop through List
External Link
List Length & Add Items to List
External Link
Built-in List Methods
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Basic List Operations
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List Mutability
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Collections : List - 2
Lambda Function
External Link
List with map() Function
External Link
List with filter() Function
External Link
List with reduce() Function
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Difference between Strings & Lists
External Link
Collections : Tuples
Introduction to Tuple
External Link
Tuple Packing & Unpacking
External Link
Comparing Tuples & Iterating through Tuple
External Link
Deleting & Slicing of Tuples
External Link
Tuple Membership Test
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Collections : Sets
Creating Set
External Link
Iteration Over Set
External Link
Python Set Methods
External Link
Set Operations
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Set Built-in Functions
External Link
Frozen Set
External Link
Collections : Dictionary
Creating Dictionary
External Link
Python Hashing
External Link
Python Dictionary Methods
External Link
Copying & Updating Dictionary
External Link
Deleting & Sorting Keys in Dictionary
External Link
Summary of Dictionary Methods
External Link
String Handling - 1
Introduction to Strings
External Link
String Indices
External Link
Delete a String
External Link
String Multiplication & Concatenation
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Iterating through a String
External Link
String Membership Test
External Link
String Built-in Functions
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String Handling - 2
Reversing a String
External Link
Split String
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Escape Sequence
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String format() Method
External Link
String Methods
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Functions
Introduction to Functions
External Link
Defining & Calling a Function
External Link
Working of Function
External Link
Doc Strings
External Link
Functions : Arguments & Return Statements
Default Arguments
External Link
Required Arguments
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Keyword Arguments
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Variable Length Arguments
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Return Statement
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Returning Multiple Values
External Link
Command Line Arguments
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Functions : Scope of Variables
Global Variable
External Link
Local Variable & Its Comparison with Global
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Functions : Recursion
Recursive Functions
External Link
Finding Sum of Natural Numbers using Recursion
External Link
Functions : Anonymous Functions
Lambda Function
External Link
Using Lambda with filter()
External Link
Using Lambda with map()
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Using Lambda with reduce()
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Functions : Parameter Passing Technique
Passing Immutable Objects
External Link
Passing Mutable Objects
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Functions : First Class Functions
Assigning a Function to Variable
External Link
Passing a Function as Parameter
External Link
Returning Function to Function
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Storing Function in Data Structures
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NumPy Package
Introduction to NumPy
External Link
Installation of NumPy
External Link
Working with NumPy
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Data Types in NumPy
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NumPy Array Attributes
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Engineering Mathematics : Basics of Matrices
Creating a Matrix
External Link
Identity Matrix
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Transpose of a Matrix
External Link
Engineering Mathematics : Matrix Arithmetic Operations
Matrix Addition
External Link
Matrix Subtraction
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Matrix Multiplication
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Matrix Element Multiplication & Division
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Engineering Mathematics : Operations on Matrices
Determinant of a Matrix
External Link
Inverse of a Matrix
External Link
Solving Linear Equations
External Link
Engineering Mathematics : Exercises on Matrices
Picking an Element from a Matrix
External Link
Interchange Diagonal Elements
External Link
Check a Matrix is Identity or Not
External Link
Matrix Arithmetic Operations
External Link
Inverse of 2X2 & 3X3 Matrix
External Link
Solving Linear Equations
External Link
OLD_SKT_Python Engg Applications
14 Learning Materials
Transpose of a Matrix without using NumPy
Introduction to Transpose of Matrix
External Link
Function to Input a Matrix : Code Explanation
External Link
Function to Input a Matrix : Code Implementation
External Link
Function to Transpose a Matrix : Code Explanation
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Function to Transpose a Matrix : Code Implementation
External Link
Comparing with In-Built Function in NumPy
External Link
Determinant of Matrix without using NumPy
Manually Calculating Determinant of Matrix
External Link
Laplace Expansion to Calculate Determinant
External Link
Function to Find Determinant : Code Explanation
External Link
Function to Find Determinant : Code Implementation
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Comparing with In-Built Function in NumPy
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Cofactor & Minor Matrix without using NumPy
Introduction to Cofactors & Minor Matrix
External Link
Function for Cofactors & Minor Matrix : Code Explanation
External Link
Function for Cofactors & Minor Matrix : Code Implementation
External Link
SKT_PG_Theory_Core Python
96 Learning Materials
Introduction to programming languages
Introduction to Programming Language
External Link
Types of Computer Languages
External Link
Evolution of Computer Languages - 1
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Evolution of Computer Languages - 2
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Programming Paradigms - 1
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Programming Paradigms - 2
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Programming Paradigms - 3
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Programming Paradigms - 4
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Programming Translators
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Types of Scripts
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Logics Building
Logics Building & Flowchart
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Algorithm & Pseudocode
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Introduction to Python
Introduction to Python
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Python Limitations and Libraries
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History of Python
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Features of Python
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Python Applications
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Python Implementations
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Python vs other Languages
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Characteristics of Python
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Python Environment Setup
Downloading & Installation of Python
External Link
Python Real-time IDEs
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Python Program Execution
Python Program Execution
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Basic Syntax
Comments and Indentations in Python
External Link
Keywords and Identifiers
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Variables
External Link
Input and Output Operations
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Data Types
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Type Conversions
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Operators
Introduction to Operators
External Link
Arithmetic Operators
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Assignment Operators
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Relational Operators
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Logical Operators
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Bitwise Operators
External Link
Membership Operators
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Identity Operators
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Conditional Statements
Introduction to Conditional Statement
External Link
Simple If Statement
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If-Else Statement
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If-Elif-Else Statement
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Nested If-Else Statement
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Short-Hand If Statement
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Jump Statement
Match Case
External Link
Range() Function & Del Keyword
Range() Function and Delete Keyword
External Link
Loops
Introduction to Loops
External Link
While Loop
External Link
For Loop
External Link
Nested Loops
External Link
Loop Control Statements
External Link
Functions
Introduction to Functions
External Link
Implementing Functions
External Link
Classification of Functions
External Link
Nested Functions
External Link
Scope of Variables in Functions
External Link
First Class Functions
External Link
Anonymous Functions
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Recursive Functions
External Link
Lists
Introduction to Lists
External Link
Accessing List Elements
External Link
List Operations
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Built in List Functions
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List Methods-1
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List Methods-2
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List Methods-3
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Tuples
Introduction to Tuples
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Accessing Tuple Elements
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Iterating Tuple Elements
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Built-in Tuple Functions
External Link
Tuple Methods
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Strings - 1
Introduction to Strings
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Accessing Values from Strings
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String Operations - 1
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String Operations - 2
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String Manipulation Methods
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Strings - 2
String Validation and Transformation Methods
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String Analysis Methods
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Numeric String Methods
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String Searching and Manipulation
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Strings - 3
Advanced String Operations
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String Alignment Methods
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String Formatting Methods
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String Splitting Methods
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Mastering in String Operations
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Dictionaries
Introduction to Dictionaries
External Link
Working With Dictionaries
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Accessing Keys & Values from Dictinaries
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Built-in Dictionary Methods-1
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Built-in Dictionary Methods-2
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Sets
Introduction to Sets
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Working with Sets
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Sets Built-in Methods - 1
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Sets Built-in Methods - 2
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Set Operations-1
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Set Operations-2
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Comprehensions
Comprehensions
External Link
SKT_PG_Theory_Advance Python
35 Learning Materials
Memory Management
Dynamic Typing
External Link
Modules & Packages
Modules
External Link
Importing Modules
External Link
Creating Modules
External Link
Modules Search Path
External Link
What are Packages
External Link
Creating Packages
External Link
Python DateTime
Data Time Module
External Link
Time module
Time Module - 1
External Link
Time Module - 2
External Link
Python Calendar Module
Calendar Module
External Link
Random Module
Random Module
External Link
Cryptographically Secure Random Generator
UUID Module
External Link
Other Modules in Python
OS Module
External Link
Sys Module
External Link
Logger Module
External Link
JSON Module
External Link
Exception Handling
Introduction to Exception Handling
External Link
Types of Exception Handling
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Errors in Exception Handling
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Working with Exception Handling
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Raising Exception and Creating User Defined Exception
Raising an Exception
External Link
Exception Chaining
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Exception Lifecycle
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Warnings in Exception Handling
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File Handling in Python
Introduction to File Handling
External Link
Types of Files & File Paths
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Types of File Access Modes
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Types of Binary File Access Modes
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Working with Binary File Access Modes
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Create File in Python
Creating an Empty Text File
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Creating File In A Specific Directory
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Open a File in Python
Access Modes for Opening a File
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Read File in Python
Reading a File
External Link
Reading a File into List
External Link
SKT_PG_Theory_OOPS with Python
27 Learning Materials
Introduction to OOPs
Introduction to Object Oriented Programming
External Link
Classes and Objectes
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Class Variables and Instance Variables
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Constructor & Destructor Methods
Constructor method
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Destructor Method
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Types of methods
Types of methods
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Inheritance
Introduction to inheritance
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Multiple Inheritance
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Multilevel Inheritance
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Hierarchial Inheritance
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Hybrid Inheritance
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More on Inheritance
Super() function
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Method Overriding
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Method Resolution Order
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Polymorphism
Introduction to Polymorphism
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Polymorphic Function and Duck Typing
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Method Overriding
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Method Overloading
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Operator Overloading
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Introduction to encapsulation
Introduction to Encapsulation
External Link
Access Modifiers
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Getters and Setters
External Link
Abstraction
Abstraction
External Link
Closures and Decorators
Closures
External Link
Decorators
External Link
Iterators and Generators
Iterators
External Link
Generators
External Link
SKT_DS_Theory_Anaconda Essentials
5 Learning Materials
Essential Programming Languages used for ML
Essential Programming Languages used for ML
External Link
Anaconda
Introduction to Anaconda
External Link
Installing Anaconda
External Link
Anaconda Environment
External Link
Jupyter Notebook
Jupyter Notebook
External Link
SKT_DS_Theory_Pandas
50 Learning Materials
Introduction to Pandas
Introduction to Pandas
External Link
Working with Pandas
Working with Pandas
External Link
Pandas Series-1
Introduction to Series
External Link
Creating Series from Lists
External Link
Creating Series from Dictionary
External Link
Creating Series from NumPy Array
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Creating a Series from Scalar Value
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Creating Series from NaN Values & Index Argument
External Link
Pandas Series-2
Working with Series Indexing
External Link
Accessing Data from Series
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Accessing Data from Series using Slicing
External Link
Accessing Data from Series using loc & iloc
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Series Attributes-1
External Link
Series Attributes-2
External Link
Pandas Series-3
Sorting and Converting Type of Elements in Series
External Link
Working with Null Values in Series
External Link
Summarising Series-1
External Link
Summarising Series-2
External Link
Working with Duplicate Values
External Link
Pandas Series - 4
Arithmetic Operations on Pandas Series
External Link
Comparison / Relational Operations with Pandas Series - 1
External Link
Comparison / Relational Operations with Pandas Series - 2
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Comparison / Relational Operations with Pandas Series - 3
External Link
Logical Operators on Pandas Series
External Link
Manipulating Pandas Series
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Pandas DataFrame - 1
Introduction to Pandas DataFrame
External Link
Creating Pandas DataFrame
External Link
DataFrame Attributes - 1
External Link
DataFrame Attributes - 2
External Link
Converting and Sorting Elements
External Link
Working with Null Values in DataFrame
External Link
Pandas DataFrame - 2
Summarising DataFrame - 1
External Link
Summarising DataFrame - 2
External Link
Working with Duplicates
External Link
Arithmetic Operations on Pandas Dataframe - 1
External Link
Arithmetic Operations on Pandas Dataframe - 2
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Pandas DataFrame - 3
Comparison Operations on Pandas Dataframe - 1
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Comparison Operations on Pandas Dataframe - 2
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Comparison Operations on Pandas Dataframe - 3
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Logical Operations on Pandas Dataframe - 1
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Logical Operations on Pandas Dataframe - 2
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Manipulating pandas Dataframe
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Pandas DataFrame - 4
Accessing Single Column in a DataFrame
External Link
Accessing Multiple Columns
External Link
Accessing Rows in a DataFrame
External Link
Accessing Single Element in a DataFrame
External Link
Reading Data from variuos types of files
Reading & Saving CSV File
External Link
Reading & Saving Excel File
External Link
Reading & Saving JSON File
External Link
Reading Data from SQL Database
External Link
SKT_DS_Lab L1_Pandas
2 Learning Materials
Basic Level Programming on Pandas Series-1
Write a code to create a Series from a NumPy array of random numbers and Print the Series.
External Link
Create a Series with three NaN values, and specify index labels as 'A', 'B', and 'C'.
External Link
Basic Level Programming on Pandas Series-2
Basic Level Programming on Pandas Series-3
Basic Level Programming on Pandas Series - 4
Basic Level Programming on Pandas DataFrame - 1
SKT_DS_Lab L2_Pandas
2 Learning Materials
Intermediate Level Programming on Pandas Series-1
Create a Series and set custom index labels in Pandas
External Link
Create a Series with both positive and negative values and print its mean.
External Link
Intermediate Level Programming on Pandas Series-2
Intermediate Level Programming on Pandas Series-3
Intermediate Level Programming on Pandas Series - 4
Intermediate Level Programming on Pandas DataFrame - 1
SKT_DS_Lab L3_Pandas
2 Learning Materials
Advance Level Programming on Pandas Series-1
Construct a Pandas Series from dictionary {'USA': 331, 'India': 1380, 'China': 1441, 'Brazil': 213}
External Link
Python program using pandas library representing the marks of five students
External Link
Advance Level Programming on Pandas Series-2
Advance Level Programming on Pandas Series-3
Advance Level Programming on Pandas Series - 4
Advance Level Programming on Pandas DataFrame - 1
SKT_DS_Theory_Data Analasys & Vis
143 Learning Materials
About Course
Course Overview
External Link
Introduction to Data Analysis
What is Data Analysis?
External Link
Why is Data Analysis important?
External Link
Sources of Data
External Link
Sampling Techniques
External Link
Data Quality Issues
External Link
Data Management & Storage
External Link
Introduction to Data Visualization
Introduction to Data Visualization
External Link
Data Wrangling
Introduction to Data Wrangling
External Link
Subsetting a Dataset
Subsetting a Dataset
External Link
Selecting Columns
External Link
Selecting Rows
External Link
Selecting Rows & Columns
External Link
Slicing Columns
External Link
Slicing Rows
External Link
Slicing Rows & Columns
External Link
Indexing
External Link
Filtering
External Link
Combining and Merging Data Sets
Database-Style Merging Datasets
External Link
Merging on Index - Outer
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Merging on Index - Left
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Merging on Index - Right
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Concatenating Along an Axis
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Combining Data with Overlap
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Reshaping
Reshaping
External Link
Data Transformation
Introduction for Data Transformation
External Link
Removing Duplicates & Replacing Values
External Link
Transforming Data Using a Function or Mapping
External Link
Renaming Axis Indexes
External Link
Data Discretization
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String Manipulation
String Manipulation
External Link
Group By Operations
Introduction to Group By
External Link
Exploring get_group
External Link
Group by Syntax & Iterating Over Groups
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Grouping with Dicts and Series
External Link
Grouping with Functions
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Grouping By Index Levels
External Link
Data Aggregation
Introduction to Data Aggregation
External Link
Syntax of Data Aggregation
External Link
Column-wise and Multiple Function
External Link
Returning Aggregated Data in "Unindexed" Form
External Link
Group-wise Operations and Transformations
Apply: General split-apply-combine
External Link
Quantile & Bucket Analysis
External Link
Filling Missing Values with Group-specific Values
External Link
Random Sampling & Permutation
External Link
Random Sampling & Permutation using Group By
External Link
Group Weighted Average and Correlation
External Link
Pivot Tables and Cross-Tabulation
Pivot Table
External Link
Cross Tabulation
External Link
Data Preparation & Basic Models
Data Preparation
External Link
Advanced Data Transformation Techniques
Linear Transformation
External Link
Quadratic Transformation
External Link
Non-polynomial Transformation
External Link
Polynomial Transformation
External Link
Rank Transformation
External Link
Box-Cox Transformation
External Link
Histogram
External Link
Missing Values
Introduction to Data Cleaning
External Link
Introduction to Missing Values
External Link
Removing Missing Values
External Link
Mean Imputation
External Link
Median Imputation
External Link
Mode Imputation
External Link
Forward Fill Imputation
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Backward Fill Imputation
External Link
Dealing with Noisy Data
Noisy Data
External Link
Types of Noise Data
External Link
Introduction to Noise Filtering
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Noise Filtering at Data Level
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Enhancing Data Analysis Strategies Against Noise
External Link
Introduction to Outliers
Introduction to Outliers
External Link
Detecting & Handling Outliers
Detecting outliers using Boxplot and IQR
External Link
Detecting outliers using the Z-scores
External Link
Detecting outliers using the percentile method
External Link
Detecting outliers using Standard Deviation method
External Link
Handling Categorical Data
Introduction to Categorical Data
External Link
Categorical Encoding
External Link
One Hot Encoding
External Link
Label Encoding
External Link
Ordinal Encoding
External Link
Helmert Encoding
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Binary Encoding
External Link
Frequency Encoding
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Mean Encoding
External Link
Weight of Evidence Encoding
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Probability Ratio Encoding
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Hashing Encoding
External Link
Backward Difference Encoding
External Link
Leave One Out Encoding
External Link
James Stein Encoding
External Link
M-estimator Encoding
External Link
Thermometer Encoder
External Link
Which Encoding is best?
External Link
Handling Numerical Data
Introduction to Numerical Data
External Link
Introduction to Feature Scaling
External Link
Min- Max Scaling
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Standardization
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Robust Scaling
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Max Abs Scaler
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Exploratory Data Analysis
Introduction to Exploratory Data Analysis
External Link
Intoduction to Univariate Analysis
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Bar Plot for Univariate
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Pie Chart for Univariate
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Count Plot for Univariate
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Histogram for Univariate
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Box PLot for Univariate
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Density Plot for Univariate
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Line Plot for Univariate
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Intoduction to Bivariate Analysis
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Scatter Plot
External Link
Line Plot
External Link
Joint Plot
External Link
Heatmap
External Link
Stacked Bar Plot
External Link
Grouped Bar Plot
External Link
Clustered Heatmap
External Link
Chi-Square Test
External Link
Bar Plot
External Link
Box Plot
External Link
Violin Plot
External Link
Point Plot
External Link
Swarm Plot
External Link
Introduction to Multivariate Analysis
External Link
Heat Map for Multivariate
External Link
Pair plot
External Link
Feature Engineering
Introduction to Feature Engineering
External Link
Feature Selection Techniques & Criteria
External Link
Filter Feature Selection
External Link
Wrapper Feature Selection
External Link
Embedded Feature Selection
External Link
Implications of Feature Selection Methods
External Link
Representative Feature Selection Methods
External Link
Leading and Recent Feature Selection Techniques
External Link
Feature Extraction
External Link
Feature Construction
External Link
Experimental Comparative Analyses in Feature Selection
External Link
Handling Imbalance Data
Introduction to Handle Imbalance Data
External Link
Choose Proper Evaluation Metric
External Link
Resampling
External Link
SMOTE
External Link
Balanced Bagging Classifier
External Link
Threshold moving
External Link
Augmentation
External Link
SKT_DS_Lab L1_Data Analasys & Vis
4 Learning Materials
Basic Level Programming on Subsetting a Dataset
Generate the sample DataFrame and then choose any one of the Columns. Display its contents
External Link
Creating and displaying Data. choose any one of the Row. Display its contents
External Link
Basic Level Programming on Group By Operations
Group the DataFrame by a column and apply multiple aggregation functions
External Link
Group the numbers in the num column they are even or odd and calculate the sum of each group data
External Link
Basic Level Programming on Data Aggregation
Basic Level Programming on Group-wise Operations and Transformations
Basic Level Programming on Pivot Tables and Cross-Tabulation
SKT_DS_Lab L2_Data Analasys & Vis
2 Learning Materials
Intermediate Level Programming on Subsetting a Dataset
Construct a Sample DataFrame use the Slicing feature all columns whose names start with an ‘S’
External Link
Intermediate Level Programming on Group By Operations
Given a list of dictionaries representing customers average order total for each city
External Link
Intermediate Level Programming on Data Aggregation
Intermediate Level Programming on Group-wise Operations and Transformations
Intermediate Level Programming on Pivot Tables and Cross-Tabulation
SKT_DS_Lab L3_Data Analasys & Vis
3 Learning Materials
Advance Level Programming on Subsetting a Dataset
Write a Python Program to import any CSV file to Pandas DataFrame
External Link
Advance Level Programming on Group By Operations
Load, explore a dataset , perform groupby() operations using pandas library and visualise data
External Link
list of dictionaries representing employees group using Sorting higher salaries and longer.
External Link
Advance Level Programming on Data Aggregation
Advance Level Programming on Group-wise Operations and Transformations
Advance Level Programming on Pivot Tables and Cross-Tabulation
SKT_DS_Theory_Statistics and Probability
59 Learning Materials
All About Data
Introduction to Data
External Link
Case Study
External Link
Properties of Data
External Link
Data based on Structure & Application
External Link
Types of Variables
External Link
Relationship between Variables
External Link
Introduction To Statistics
Introduction to Statistics
External Link
History of Statistics
External Link
Fundamental Elements of Statistics
External Link
Statistical Thinking and Methods
External Link
Describing Data with Graphs
Introduction to Describing Data with Graphs
External Link
Graphs for Categorical Data
External Link
Graphs for Numerical Data
External Link
Scatter Plots
External Link
Time Series Plots
External Link
Seasonal Plots
External Link
Trend
External Link
Cyclic Variations
External Link
Irregular movements
External Link
Advanced Graphical Techniques
External Link
Graphs For Compare Data
External Link
Descriptive Statistics - Measures of Central Tendencies
Introduction to Measures of Central Tendencies
External Link
Mean
External Link
Arithmetic Mean
External Link
Types of Mean
External Link
Median
External Link
Mode
External Link
Skewness & Kurtosis
External Link
Descriptive Statistics - Measure of Dispersion
Introduction to Dispersion
External Link
Variance
External Link
Standard Deviation
External Link
Interpreting the Standard Deviation
External Link
Range
External Link
Data Analysis & Visualization Plots
Introduction to Outliers
External Link
Univariate Outlier Detection
External Link
Graphical Methods for Outlier Detection
External Link
Robust Statistical Methods
External Link
Multivariate Outlier Detection Methods
External Link
Hypothesis Testing for Outlier Detection
External Link
Impact of Outliers on Statistical Analysis
External Link
Distribution Data & its Empirical Formula
Introduction to Distribution of Data
External Link
Introduction Continuous Distribution
External Link
Normal Distribution
External Link
Central Limit Theorem
External Link
Lognormal Distribution
External Link
F Distribution
External Link
Chi-square Distribution
External Link
T - Distribution
External Link
Weibull Distribution
External Link
Limiting Distributions
External Link
Bernoulli Distribution
External Link
Binomial Distribution
External Link
Geometric Distribution
External Link
Uniform Distribution
External Link
Frequency Distributions
External Link
Non grouped Frequency Distributions
External Link
Poisson Distribution
External Link
Inferential Statistics- Hypothesis Testing
Introduction to Hypothesis Testing
External Link
Z-test
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SKT_DS_Theory_SQL for Data Science
52 Learning Materials
Introduction to Databases & RDBMS
Understanding Databases
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Database Management System
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Relational Database
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Non- Relational Database
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History
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Installing SQL
Setting Up MySQL Environment
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Database Processing Paradigms
OLAP vs. OLTP
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Introduction to SQL
SQL Fundamentals and Introduction
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SQL Syntax & Basic Queries
SQL Syntax & Basic Queries
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SQL Data Types
Introduction to Data Types
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Numeric Data Types
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String Data Type
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Date and Time Data Type
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Binary Data Type
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Miscellaneous Data Type
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SQL Operators
Introduction to Operators
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Arithmetic Operators
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Comparison operators
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Logical operators
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Bitwise Operators
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Compound Operators
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String Operators
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Set Operators
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SQL Basics and Language Components
SQL Commands
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Data Definition Language Commands
CREATE Database
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USE Database
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DROP Database
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ALTER Database
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CREATE Table
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RENAME Table
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DROP Table
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TRUNCATE Table
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Data Manipulation Language Commands
Retrieving data from a table
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Inserting data into a table
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Updating existing data into a table
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Deleting all records from a table
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Data Query Language Commands
Introduction to Clauses
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FROM Clause
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WHERE Clause
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WITH Clause
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ORDER BY Clause
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LIMIT Clause
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SQL Functions
Introduction to MYSQL Functions
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Numeric Functions
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String Functions
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Date Time Functions
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Conversion Functions
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User Defined Functions
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SQL GROUP BY , HAVING & Aggregate Functions
SQL Aggregation
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SQL Grouping - GROUP BY
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SQL Grouping - HAVING
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SQL Indexes
Creating Indexes
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SKT_DS_Theory_Power BI
32 Learning Materials
Introduction to Power BI
Introduction to Business Intelligence
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Introduction to Power BI
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History of Power BI
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Comparison of Power BI Version
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Introduction to Building Blocks
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Working with Power BI
Working with Power BI
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Power Pivot and Data Sources
Power Pivot and Data Sources
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Power Query for Data Transformation
Introduction to Power Query
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Transformations
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Data Transformations and Calculations
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DAX
DAX
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Basics of Data Modeling
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Creating Calculated Columns (Basics)
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DAX Time Intelligence
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DAX Table Functions
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Working with Filter Context (FILTER and ALL)
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Overriding Filter Context
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Semi-Additive Measures
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Nested Row Context
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Error Handling
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Building PivotTables on Power Pivot
Creating Tabels And Matrices
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Building Pivot Tables on Top of Power Pivot Tables
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Using Pivot Charts
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Introduction Power View
Introduction to Power View
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Authoring Power View reports
From table to chart
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Working with bubble charts
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Slicers, cards and multiples
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Adding maps to Power View
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Working with multi-view reports
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Improving Power Pivot models for Power View reporting
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Deploying Power View reports
Saving Power View reports in document libraries
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Power Pivot Gallery functionality
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SKT_DS_Theory_Deep Learning
73 Learning Materials
Introduction to AI
What is AI?
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Brief history of AI
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AI Techniques
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Introduction to Deep learning
Introduction to Deep learning
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Applications of Deep learning
Deep learning in Recommender Systems
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Deep learning in Health care
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Deep Learning In Finance
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Deep Learning in Robotics
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Lifecycle of deep learning
Problem Definition
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Data Collection
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Data preprocessing
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Model Selection
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Training and Evaluation
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Fine-Tuning and Deployment
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Monitoring and Maintenance
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About Keras and TensorFlow
About Keras and TensorFlow
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Neural Network
Introduction To Neural Network
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Layers in Neural Networks
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Perceptrons
Introduction to Perceptron
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Perceptron For Binary Classification
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Multi Layer Perceptron
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Logistic Regression vs Perceptron
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Diagrammatic Representation
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Activation Functions
Activation Functions
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Sigmoid Activation Functions
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Hyperbolic Tangent Activation Functions
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RELU Activation Functions
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Leaky RELU Activation Function
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PRELU Activation Function
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Swish Activation Function
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Softmax Activation Function
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Types of Neural Networks
Types of Neural Networks
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Feedforward Neural Networks
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Convolutional Neural Networks
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Recurrent Neural Networks
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Generative Adversarial Networks
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Autoencoders
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Artificial Neural Networks
Vanishing Gradient
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Exploding Gradients
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Forward Propagation
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Back Propagation Algorithm
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Error computation
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Training an Artificial Neural Network
The Universal Approximation Theorem
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ANN Preprocessing Techniques
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Data Cleaning
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Data Integration
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Data Transformation
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Data Reduction
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Optimization Methods for ANN Training
Local Minima and Global Minima
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Optimization Algorithms in Neural Network
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Gradient Descent Optimizer
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Stochastic Gradient Descent Optimizer
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Mini Batch Stochastic Gradient Descent
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Stochastic Gradient Descent with Momentum
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AdaGrad optimizer
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RMSprop Optimizer
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Adam Optimizer
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AdaDelta Optimizer
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Overfitting and Regularization Techniques
Overfitting In Neural Networks
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Early stopping
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Dropout method
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Regularization techniques to prevent Overfitting
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Employee Attrition Classification case study
Problem Statement
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Data Collection
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Data Understanding
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Data cleaning and preprocessing
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Univariate Analysis
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Exploratory data Analysis-Bivariate Analysis(part1)
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Exploratory data Analysis-Bivariate Analysis(part 2)
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Exploratory data Analysis Multivariate Analysis
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Feature Selection
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Implementing ANN model(part 1)
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Implementing ANN model(part 2)
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SKT_DS_Lab L1_Deep Learning
3 Learning Materials
Basic Level Programming on About Keras and TensorFlow
To study various tools: Torch, TensorFlow, Keras
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Basic Level Programming on Perceptrons
Write a program to implement XOR gates using Perceptron.
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Basic Level Programming on Activation Functions
Program a simple neural network perform sentiment analysis on txt data with Softmax Activation
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Basic Level Programming on Types of Neural Networks
Basic Level Programming on Artificial Neural Networks
SKT_DS_Lab L2_Deep Learning
1 Learning Materials
Intermediate Level Programming on Activation Functions
Write a Python program to plot a few activation functions that are being used in neural networks
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Intermediate Level Programming on Types of Neural Networks
Intermediate Level Programming on Artificial Neural Networks
Intermediate Level Programming on Training an Artificial Neural Network
Intermediate Level Programming on Optimization Methods for ANN Training
SKT_DS_Lab L3_Deep Learning
3 Learning Materials
Advance Level Programming on Perceptrons
With a suitable example demonstrate the perceptron learning law using python
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Advance Level Programming on Activation Functions
write a program uses a simple neural network to predict the air quality index ReLU function
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Advance Level Programming on Types of Neural Networks
write a program uses a simple neural network to predict the air quality index ReLU function
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Advance Level Programming on Artificial Neural Networks
Advance Level Programming on Training an Artificial Neural Network
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