Name: Learn Python, JavaScript, and Microsoft SQL for Data science
Price: 25 GBP

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Curriculum

Overview:

Welcome to “Learn Python, JavaScript, and Microsoft SQL for Data Science”! This comprehensive course is your ultimate guide to mastering three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Python serves as the primary language for data analysis and machine learning, while JavaScript enables interactive data visualization on the web. Microsoft SQL is a powerful relational database management system widely used for storing and querying data. By combining these three technologies, you’ll gain the skills and knowledge needed to excel in the field of data science.

Interactive video lectures by industry experts
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases

Main Course Features:

In-depth coverage of Python fundamentals for data analysis and machine learning
Hands-on projects and exercises to reinforce Python programming skills
Exploration of JavaScript libraries like D3.js for data visualization
Implementation of interactive data visualizations using JavaScript
Thorough understanding of Microsoft SQL for data storage and querying
Writing SQL queries to retrieve and manipulate data in Microsoft SQL Server
Real-world case studies and examples to demonstrate the integration of Python, JavaScript, and SQL in data science projects
Access to a supportive online community for collaboration and assistance

Who Should Take This Course:

Aspiring data scientists seeking to build a strong foundation in essential technologies for data science
Programmers and developers interested in expanding their skill set to include Python, JavaScript, and SQL for data analysis and visualization
Students and professionals aiming to pursue a career in data science or related fields

Learning Outcomes:

Master Python programming for data analysis, machine learning, and data manipulation
Develop interactive data visualizations using JavaScript libraries like D3.js
Utilize Microsoft SQL for data storage, retrieval, and manipulation
Write complex SQL queries to extract insights from relational databases
Integrate Python, JavaScript, and SQL for end-to-end data science projects
Build a portfolio of data science projects showcasing proficiency in Python, JavaScript, and SQL
Debug and troubleshoot code effectively in Python, JavaScript, and SQL environments
Stay updated with the latest trends and advancements in data science and technology.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

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	00:09:00
	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	00:11:00
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
	SELECT DISTINCT	00:17:00
	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	00:06:00
	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