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Course Content

01. Orientataion Session

Prime Orientation Session

00:00

02. Course Intoduction

03. Python Fundamentals (Part I)

01. Our First Program

00:00
02. Variables in Python

00:00
03. Data Types in Python

00:00
04. Keywords & Comments

00:00
05. Style Guide

00:00
06. Arithmetic Operators

00:00
07. Relational Operators

00:00
08. Assignment Operators

00:00
09. Logical Operators

00:00
10. Operator Precedence

00:00
11. Type Conversion & Casting

00:00
12. Taking User Input

00:00
13. Average of 2 Nums

00:00
14. Python Fundamentals _Part1

00:00
15. Python Fundamentals _Assignment1

00:00

04. Python Fundamentals (Part II)

01. Conditional Statements in Python

00:00
02. Practice Examples (Conditionals)

00:00
03. Odd or Even

00:00
04. Nesting

00:00
05. Match case in Python

00:00
06. Loops using while

00:00
07. Practice Examples (Loops)

00:00
08. Multiplication Table of N

00:00
09. Break & Continue

00:00
10. Loops using for

00:00
11. Vowel Count

00:00
12. range( ) Function

00:00
13. Sum of N numbers

00:00
14. Functions in Python

00:00
15. Practice Examples (Functions)

00:00
16. Types of Functions

00:00
17. Lambda Functions

00:00
18. Factorial of N

00:00
19. Python Fundamentals _Part2

00:00
20. Python Fundamentals _Assignment2

00:00

05. Python Fundamentals (Part III)

01. Conditional Statements in Python

00:00
02. Practice Examples (Conditionals)

00:00
03. Odd or Even

00:00
04. Nesting

00:00
05. Match case in Python

00:00
06. Loops using while

00:00
07. Practice Examples (Loops)

00:00
08. Multiplication Table of N

00:00
09. Break & Continue

00:00
10. Loops using for

00:00
11. Vowel Count

00:00
12. range( ) Function

00:00
13. Sum of N numbers

00:00
14. Functions in Python

00:00
15. Practice Examples (Functions)

00:00
16. Types of Functions

00:00
17. Lambda Functions

00:00
18. Factorial of N

00:00
19. Python Fundamentals _Part2

00:00
20. Python Fundamentals _Assignment2

00:00

06. Python Fundamentals (Part IV)

01. What is Object Oriented Programming

00:00
02. Classes & Objects

00:00
03. Attributes & Methods

00:00
04. Constructor – init( ) Method

00:00
05. Types of Constructors

00:00
06. Attributes – class & instance

00:00
07. Instance Methods

00:00
08. Class Methods

00:00
09. Static Methods

00:00
10. Practice Problem

00:00
11. Encapsulation in OOPs

00:00
12. Inheritance in OOPs

00:00
13. Types of Inheritance

00:00
14. Abstraction

00:00
15. Polymorphism (Function Overriding)

00:00
16. Polymorphism (Duck Typing)

00:00
17. Python Fundamentals Part4

00:00
18. Python Fundamentals _Assignment4

00:00
19. Chat_system_code

00:00

07. Python Fundamentals (Part V)

01. File I_O

00:00
02. Operations on Files

00:00
03. Modes in File Operations

00:00
04. _with_ Keyword

00:00
05. Delete Files

00:00
06. Practice Problem

00:00
07. Exception Handling

00:00
08. _finally_ Keyword

00:00
09. List Comprehensions

00:00
10. Working with JSON Module

00:00
11. Python Fundamentals Part5

00:00
12. Python Fundamentals _Assignment5

00:00

08. Required Installation

09. Phase 2 : Data

10. NumPy

01._Introduction_to_NumPy

00:00
02._Installation_&_Usage

00:00
03._Python_List_vs_NumPy_Array

00:00
04._Creating_Arrays_from_Lists

00:00
05_Creating_Arrays_using_built_in_methods

00:00
06._Array_Properties

00:00
07) Reshaping array

00:00
08._Indexing_on_Arrays

00:00
09._Slicing_Arrays

00:00
10._Copy_v_s_View_in_Slice

00:00
11._Common_NumPy_Data_Types

00:00
12._Multi-dimensional_Arrays_&_Axes

00:00
13._3D_Arrays

00:00
14._Vectorization_&_Broadcasting

00:00
15._Vector_Normalization

00:00
16._Math_-_Mean_&_Standard_Deviation

00:00
17._Mathematical_Functions_(Aggregate)

00:00
18._Other_Math_functions

00:00
19.numpy_tutorial.ipynb

00:00
20._NumPy.pdf

00:00

11. Pandas (Part I)

01._Data_Science_Process

00:00
02._What_is_EDA

00:00
02.5_Introduction_to_Pandas

00:00
03._Series_in_Pandas

00:00
04._Series_Properties

00:00
05._DataFrame_in_Pandas

00:00
06_Pandas_with_csv_&_json_data_give_file

00:00
07._DataFrame_Methods

00:00
08._Using_Kaggle_DataSet

00:00
09._Indexing_&_Selecting_Data

00:00
10._Filtering_Data

00:00
11._Filtering_Data_using_Query

00:00
12_Data_Cleaning_Handle_Missing_Values_give_file

00:00
13._Data_Cleaning_(Handle_Duplicates)

00:00
14._Data_Cleaning_(Handle_Data_Types)

00:00
15._Data_Cleaning_(Handle_Strings)

00:00
employee_data.csv

00:00
pandas_tutorial.ipynb

00:00
raw_data.csv

00:00

12. Pandas (Part II)

01._Data_Transformation

00:00
02_Data_Transformation_other_Methods

00:00
03._Practice_Task

00:00
04_Writing_data_to_csv_&_json_files

00:00
05._Group_by_&_Aggregation

00:00
06_Melt_&_Pivot_for_Reshaping

00:00
07_Basic_Visualization_with_Pandas

00:00
08._Merge_&_Join_Data

00:00
09_Data_Concatenation_with_Pandas

00:00
10._Pandas_Notes.pdf

00:00
11._Pandas_Assignment_Problems.pdf

00:00

13. Data Collection

14. SQL (Part I)

01)What_is_a_Database

00:00
02)SQL_v_s_NoSQL

00:00
03)What_is_SQL

00:00
04)What_is_a_Table

00:00
05)(For_Windows)_Installation

00:00
06)(For_Mac)_Installation

00:00
07)Our_First_Database_RATNA

00:00
08)Our_First_Table

00:00
09)Database_Queries

00:00
10)CREATE_Table

00:00
11)What_are_Constraints

00:00
12)Key_Constraints

00:00
13)Primary_&_Foreign_Keys

00:00
14)INSERT_into_Table

00:00
15)SELECT_Command

00:00
16)Where_Clause

00:00

15. SQL (Part II)

01. Transactions & ACID properties

00:00
02. Commit in Transactions

00:00
03. Rollbacks & Savepoints

00:00
04. JOINs in SQL (inner join)

00:00
05. Left join & Right join

00:00
06. Outer join & Cross join

00:00
07. Self join

00:00
08. Practice problems – Exclusive joins

00:00
09. Sub-Queries in SQL

00:00
10. Views in SQL

00:00
11. Index in SQL

00:00
12. Composite Index

00:00
13. Stored Procedures

00:00
14. Call & Drop procedures

00:00

16.Data Collection (Continuation)

01. Population Techniques (Recap)

00:00
02.Working with APIs

00:00
03.Homework Problem

00:00
04.Starting with Web Scraping

00:00
05.HTML Overview

00:00
06.Important Tags in HTML

00:00
07.Attributes in HTML (1)

00:00
08.Web Scraping (requests Library)

00:00
09.Additional Techniques

00:00
10.Web Scraping (using BeautifulSoup)

00:00
11.BeautifulSoup Methods & Attributes

00:00
12.Storing Collected Data

00:00
13.Web Scraping.pdf

00:00
14.data_collection.ipynb

00:00

17. DAY-16+17 opp html

0.1)Installation_Guide_RATNA.pdf

00:00
02)HTML_Elements_&_Tags

00:00
03)Hello_World

00:00
04)Paragraph_Element_RATNA

00:00
06)Practice_Qs_(1)_RATNA

00:00
07)Boilerplate_Code

00:00
08)Lists_in_HTML

00:00
09)Attributes_in_HTML

00:00
1)Introduction_to_HTML

00:00
10)Anchor_Element

00:00
11)Image_Element

00:00
12)Practice_Qs_RATNA

00:00
13)More_HTML_Tags

00:00
14)Comments_in_HTML

00:00
15)Is_HTML_Case_Sensitive

00:00
16)Practice_Qs_(2)

00:00
17)_Inline_vs_Block

00:00
18)_Div_Element_RATNA

00:00
19)._Span_Element_RATNA

00:00
20)_Hr_Tag_RATNA

00:00
21)._Sup_&_Sub_Tags_RATNA

00:00
22)_Practice_Qs_RATNA

00:00
23)_Semantic_Markup_RATNA

00:00
24)_Semantic_Tags_RATNA

00:00
25)_Practice_Qs_RATNA

00:00
26)_HTML_Entities_RATNA

00:00
27)._Practice_Qs_RATNA

00:00
28)_Emmets_RATNA

00:00
29)Further_Understanding_HTML_RATNA

00:00
30)Assignment_Level_2_(Qs)_RATNA.pdf

00:00
31)Assignment_Level_2_(Ans)_RATNA.pdf

00:00
34)._Tables_in_HTML_RATNA

00:00
35)_Semantics_in_Tables_RATNA

00:00
36)_Colspan_&_Rowspan_Attributes_RATNA

00:00
37_Practice_Qs_RATNA

00:00
38)._Forms_in_HTML_RATNA

00:00
39)._Input_-_Form_Element_RATNA

00:00
40._Placeholders_&_Labels_RATNA

00:00
41)_Button_Element_RATNA

00:00
42)._Name_Attribute_RATNA

00:00
43)._Practice_Qs_RATNA

00:00
44)._Checkbox_-_Input_Element_RATNA

00:00
45)_Radio_-_Input_Element_RATNA

00:00
46)._Select_-_Input_Element_RATNA

00:00
47)_Range_-_Input_Element_RATNA

00:00
48)_Text_Area_RATNA

00:00
49)._Practice_Qs_RATNA

00:00
50)_HTML_Level_3_(Qs)_RATNA.pdf

00:00
51)._HTML_Level_3_(Ans)_RATNA.pdf

00:00
HTML_(Level_1)_Qs_RATNA.pdf

00:00
HTML_Level1_(Ans)_RATNA.pdf

00:00
Prerequisites_RATNA

00:00
Welcome_to_Sigma!_RATNA

00:00
What_is_the_Internet_RATNA

00:00
What_is_Web_Development_RATNA

00:00
What_will_we_learn_RATNA

00:00

18. Data Visualization

1 What is Data Visualization

00:00
10 Add Bar labels

00:00
11 Multiple datasets on Bar Chart

00:00
12 Bar Charts (Horizontal)

00:00
13 Scatter Plots

00:00
14 Customizations on Scatter Plots

00:00
15 Add Annotations

00:00
16 Multiple datasets on Scatter Plots

00:00
17 Pie Charts

00:00
18 Customizations on Pie Charts

00:00
2 How to Plot data

00:00
3 Introduction to Matplotlib

00:00
4 Important Plot Methods

00:00
5 Multiple datasets on Line Plot

00:00
6 Format Strings

00:00
7 Styling & Saving Plots

00:00
8 Common Plots & Charts

00:00
9 Bar Charts (Vertical)

00:00
matplotlib_tutorial_code.ipynb

00:00

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Course Content

01. Orientataion Session

Prime Orientation Session

02. Course Intoduction

01. Course Objective

02. What will we Learn

03. Schedule

04. Why did we choose Python

05. Tools to Install

06. Installation Guide Prime

07. Using Visual Studio Code

03. Python Fundamentals (Part I)

01. Our First Program

02. Variables in Python

03. Data Types in Python

04. Keywords & Comments

05. Style Guide

06. Arithmetic Operators

07. Relational Operators

08. Assignment Operators

09. Logical Operators

10. Operator Precedence

11. Type Conversion & Casting

12. Taking User Input

13. Average of 2 Nums

14. Python Fundamentals _Part1

15. Python Fundamentals _Assignment1

04. Python Fundamentals (Part II)

01. Conditional Statements in Python

02. Practice Examples (Conditionals)

03. Odd or Even

04. Nesting

05. Match case in Python

06. Loops using while

07. Practice Examples (Loops)

08. Multiplication Table of N

09. Break & Continue

10. Loops using for

11. Vowel Count

12. range( ) Function

13. Sum of N numbers

14. Functions in Python

15. Practice Examples (Functions)

16. Types of Functions

17. Lambda Functions

18. Factorial of N

19. Python Fundamentals _Part2

20. Python Fundamentals _Assignment2

05. Python Fundamentals (Part III)

01. Conditional Statements in Python

02. Practice Examples (Conditionals)

03. Odd or Even

04. Nesting

05. Match case in Python

06. Loops using while

07. Practice Examples (Loops)

08. Multiplication Table of N

09. Break & Continue

10. Loops using for

11. Vowel Count

12. range( ) Function

13. Sum of N numbers

14. Functions in Python

15. Practice Examples (Functions)

16. Types of Functions

17. Lambda Functions

18. Factorial of N

19. Python Fundamentals _Part2

20. Python Fundamentals _Assignment2

06. Python Fundamentals (Part IV)

01. What is Object Oriented Programming

02. Classes & Objects

03. Attributes & Methods

04. Constructor – init( ) Method

05. Types of Constructors

06. Attributes – class & instance

07. Instance Methods

08. Class Methods

09. Static Methods

10. Practice Problem