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Course Curriculum

Course Curriculum

Section 01: JavaScript Introduction
Introduction 00:03:00
How to ask great questions 00:01:00
Installing Code Editor 00:04:00
What is JavaScript 00:09:00
Hello World Program 00:14:00
Getting Output 00:11:00
Internal JavaScript 00:13:00
External JavaScript 00:09:00
Inline JavaScript 00:04:00
Async and defer 00:06:00
Section 02: JavaScript Basics
Variables 00:13:00
Data Types 00:10:00
Numbers 00:06:00
Strings 00:06:00
String Formatting 00:05:00
Section 03: JavaScript Operators
Arithmetic operators 00:07:00
Assignment operators 00:03:00
Comparison operators 00:06:00
Logical operators 00:08:00
Section 04: JavaScript Conditional Statements
If-else statement 00:05:00
If-else-if statement 00:04:00
Section 05: JavaScript Control Flow Statements
While loop 00:09:00
Do-while loop 00:02:00
For loop 00:08:00
Coding Exercise 00:02:00
Solution for Coding Exercise 00:02:00
Section 06: JavaScript Functions
Creating a Function 00:07:00
Function Call() 00:07:00
Function with parameters 00:05:00
Section 07: JavaScript Error Handling
Try-catch 00:05:00
Try-catch-finally 00:17:00
Section 08: JavaScript Client-Side Validations
On Submit Validation 00:09:00
Input Numeric Validation 00:12:00
Section 09: Python Introduction
Introduction to Python 00:02:00
Python vs. Other Languages 00:04:00
Why Its Popular 00:04:00
Command Line Basics 00:07:00
Python Installation (Step By Step) 00:06:00
PyCharm IDE Installation 00:08:00
Getting Start PyCharm IDE 00:05:00
First Python Hello World Program 00:07:00
Section 10: Python Basic
Variables 00:16:00
Data Types 00:13:00
Type Casting 00:07:00
User Inputs 00:08:00
Comments 00:04:00
Section 11: Python Strings
Strings 00:05:00
String Indexing 00:05:00
String Slicing 00:04:00
String Built-in Functions 00:04:00
Formatting String (Dynamic Data) 00:05:00
Section 12: Python Operators
Arithmetic Operators 00:08:00
Assignment Operators 00:05:00
Comparison Operators 00:05:00
Logical Operators 00:02:00
AND Operator 00:04:00
OR Operator 00:02:00
NOT Operator 00:03:00
Booleans 00:02:00
Section 13: Python Data Structures
Arrays in Earlier 00:02:00
Lists 00:06:00
Add List Items 00:03:00
Remove List Items 00:01:00
Sort Lists 00:03:00
Join Lists 00:08:00
Tuples 00:08:00
Update tuples 00:07:00
Join tuples 00:02:00
Dictionaries 00:06:00
Add Dictionary Items 00:04:00
Remove Dictionary Items 00:03:00
Nested Dictionaries 00:04:00
Sets 00:04:00
Add Set Items 00:03:00
Remove Set Items 00:01:00
Join Set Items 00:04:00
Section 14: Python Conditional Statements
If Statement 00:03:00
If-else Statement 00:04:00
If-elif-else Statement 00:04:00
If Statement Coding Exercise 00:05:00
Section 15: Python control flow statements
Flow Charts 00:06:00
While Loops Statement 00:10:00
For Loops Statement 00:06:00
The range() Function 00:04:00
Nested Loops 00:03:00
2D List using Nested Loop 00:04:00
Section 16: Python core games
Guessing Game 00:07:00
Car Game 00:10:00
Section 17: Python functions
Creating a Function 00:03:00
Calling a Function 00:06:00
Function with Arguments 00:05:00
Section 18: Python args, KW args for Data Science
Args, Arbitary Arguments 00:04:00
kwargs, Arbitary Keyword Arguments 00:06:00
Section 19: Python project
Project Overview 00:03:00
ATM Realtime Project 00:13:00
Section 20: Python Object oriented programming [OOPs]
Introduction to Class 00:07:00
Create a Class 00:09:00
Calling a Class Object 00:08:00
Class Parameters – Objects 00:05:00
Access Modifiers(theory) 00:10:00
Section 21: Python Methods
Introduction to methods 00:06:00
Create a method 00:07:00
Method with parameters 00:12:00
Method default parameter 00:06:00
Multiple parameters 00:05:00
Method return keyword 00:04:00
Method Over loading 00:05:00
Section 22: Python Class and Objects
Introduction to OOPs 00:05:00
Classes and Objects 00:08:00
Class Constructors 00:07:00
Section 23: Python Inheritance and Polymorphism
Introduction 00:04:00
Inheritance 00:13:00
Polymorphism 00:13:00
Assessment Test 00:03:00
Solution for Assessment Test 00:03:00
Section 24: Python Encapsulation and Abstraction
Introduction 00:03:00
Access Modifiers (public, protected, private) 00:20:00
Encapsulation 00:07:00
Abstraction 00:07:00
Section 25: Python OOPs Games
Dice Game 00:06:00
Card and Deck Game Playing 00:07:00
Section 26: Python Modules and Packages
PIP command installations 00:12:00
Modules 00:12:00
Built-in Modules 00:03:00
Packages 00:08:00
Reading CSV files 00:12:00
Section 27: Python Error Handling
Errors – Types of Errors 00:08:00
Try – Except Exceptions Handling 00:07:00
Try-Except-Finally Blocks 00:07:00
Section 28: Microsoft SQL[MS] Introduction
Introduction 00:04:00
Overview of Databases 00:09:00
MSSQL Installation 00:27:00
MSSQL SSMS Installation 00:08:00
Connecting to MS-SQL (Windows Authentication) 00:05:00
Connecting to MS-SQL (SQL Server Authentication) 00:06:00
Section 29: MS SQL Statements
SQL statement basic 00:13:00
SELECT Statement 00:16:00
Column AS Statement 00:09:00
COUNT 00:10:00
Section 30: MS SQL Filtering Data
SELECT WHERE Clause – One 00:05:00
SELECT WHERE Clause – Two 00:12:00
ORDER BY 00:10:00
TOP in MSSQL 00:06:00
BETWEEN 00:13:00
IN Operator – Condition 00:08:00
LIKE 00:13:00
Section 31: MS SQL Functions
Overview of GROUP BY 00:08:00
Aggregation Function – SUM() 00:12:00
Aggregation Function – MIN()-MAX() 00:08:00
GROUP BY – One(theory) 00:11:00
GROUP BY – Two(practical) 00:14:00
HAVING 00:15:00
Section 32: MS SQL Joins
Overview of JOINS 00:07:00
Introduction to JOINS 00:07:00
AS Statement 00:04:00
INNER Join 00:12:00
Full Outer Join 00:07:00
Left Outer Join 00:06:00
Right Outer Join 00:08:00
Union 00:07:00
Section 33: MS SQL Advanced commands
Basic of Advanced SQL Commands 00:04:00
Timestamp 00:12:00
Extract from Timestamp 00:08:00
Mathematical Scalar Functions 00:11:00
String Functions 00:17:00
Sub Query 00:07:00
Section 34: MS SQL Structure and Keys
Basic of Database and Tables 00:10:00
Data Types 00:11:00
Select Datatype on SSMS 00:05:00
How to set Primary Key 00:06:00
How to set Foreign Key 00:12:00
Create Table using SQL Script 00:07:00
Section 35: MS SQL Queries
Insert query 00:06:00
Update query 00:08:00
Delete query 00:07:00
Section 36: MS SQL Structure queries
Alter Table 00:04:00
Drop Table 00:03:00
Section 37: MS SQL Constraints
Check Constraint 00:14:00
NOT NULL Constraint 00:12:00
UNIQUE Constraint 00:11:00
Section 38: MS SQL Backup and Restore
Overview of Database and Tables 00:04:00
Creating a Database backup using SSMS 00:11:00
Restoring a Database from backup using SSMS 00:08:00

Learn Python, JavaScript, and Microsoft SQL for Data science

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Duration: 22.1 Hours
Learn Python, JavaScript, and Microsoft SQL for Data science
  • Course Highlights

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Learn Python, JavaScript, and Microsoft SQL for Data science has been specially designed to help learners gain a good command of Learn Python, JavaScript, and Microsoft SQL for Data science, providing them with a solid foundation of knowledge to become a qualified professional.

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Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.

  • Learning Outcome
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  • Access to course contents that are designed and prepared by industry professionals
  • Study at your convenient time and from wherever you want
  • Requirements
  • No formal qualifications required, anyone from any academic background can take this course.
  • Access to any internet-enabled smart device.
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