learn@excellence.institute

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.

  • Introduction
  • How to ask great questions
  • Installing Code Editor
  • What is JavaScript
  • Hello World Program
  • Getting Output
  • Internal JavaScript
  • External JavaScript
  • Inline JavaScript
  • Async and defer
  • Variables
  • Data Types
  • Numbers
  • Strings
  • String Formatting
  • Arithmetic operators
  • Assignment operators
  • Comparison operators
  • Logical operators
  • If-else statement
  • If-else-if statement
  • While loop
  • Do-while loop
  • For loop
  • Coding Exercise
  • Solution for Coding Exercise
  • Creating a Function
  • Function Call()
  • Function with parameters
  • Try-catch
  • Try-catch-finally
  • On Submit Validation
  • Input Numeric Validation
  • Introduction to Python
  • Python vs. Other Languages
  • Why Its Popular
  • Command Line Basics
  • Python Installation (Step By Step)
  • PyCharm IDE Installation
  • Getting Start PyCharm IDE
  • First Python Hello World Program
  • Variables
  • Data Types
  • Type Casting
  • User Inputs
  • Comments
  • Strings
  • String Indexing
  • String Slicing
  • String Built-in Functions
  • Formatting String (Dynamic Data)
  • Arithmetic Operators
  • Assignment Operators
  • Comparison Operators
  • Logical Operators
  • AND Operator
  • OR Operator
  • NOT Operator
  • Booleans
  • Arrays in Earlier
  • Lists
  • Add List Items
  • Remove List Items
  • Sort Lists
  • Join Lists
  • Tuples
  • Update tuples
  • Join tuples
  • Dictionaries
  • Add Dictionary Items
  • Remove Dictionary Items
  • Nested Dictionaries
  • Sets
  • Add Set Items
  • Remove Set Items
  • Join Set Items
  • If Statement
  • If-else Statement
  • If-elif-else Statement
  • If Statement Coding Exercise
  • Flow Charts
  • While Loops Statement
  • For Loops Statement
  • The range() Function
  • Nested Loops
  • 2D List using Nested Loop
  • Guessing Game
  • Car Game
  • Creating a Function
  • Calling a Function
  • Function with Arguments
  • Args, Arbitary Arguments
  • kwargs, Arbitary Keyword Arguments
  • Project Overview
  • ATM Realtime Project
  • Introduction to Class
  • Create a Class
  • Calling a Class Object
  • Class Parameters – Objects
  • Access Modifiers(theory)
  • Introduction to methods
  • Create a method
  • Method with parameters
  • Method default parameter
  • Multiple parameters
  • Method return keyword
  • Method Over loading
  • Introduction to OOPs
  • Classes and Objects
  • Class Constructors
  • Introduction
  • Inheritance
  • Polymorphism
  • Assessment Test
  • Solution for Assessment Test
  • Introduction
  • Access Modifiers (public, protected, private)
  • Encapsulation
  • Abstraction
  • Dice Game
  • Card and Deck Game Playing
  • PIP command installations
  • Modules
  • Built-in Modules
  • Packages
  • Reading CSV files
  • Errors – Types of Errors
  • Try – Except Exceptions Handling
  • Try-Except-Finally Blocks
  • Introduction
  • Overview of Databases
  • MSSQL Installation
  • MSSQL SSMS Installation
  • Connecting to MS-SQL (Windows Authentication)
  • Connecting to MS-SQL (SQL Server Authentication)
  • SQL statement basic
  • SELECT Statement
  • SELECT DISTINCT
  • Column AS Statement
  • COUNT
  • SELECT WHERE Clause – One
  • SELECT WHERE Clause – Two
  • ORDER BY
  • TOP in MSSQL
  • BETWEEN
  • IN Operator – Condition
  • LIKE
  • Overview of GROUP BY
  • Aggregation Function – SUM()
  • Aggregation Function – MIN()-MAX()
  • GROUP BY – One(theory)
  • GROUP BY – Two(practical)
  • HAVING
  • Overview of JOINS
  • Introduction to JOINS
  • AS Statement
  • INNER Join
  • Full Outer Join
  • Left Outer Join
  • Right Outer Join
  • Union
  • Basic of Advanced SQL Commands
  • Timestamp
  • Extract from Timestamp
  • Mathematical Scalar Functions
  • String Functions
  • Sub Query
  • Basic of Database and Tables
  • Data Types
  • Select Datatype on SSMS
  • How to set Primary Key
  • How to set Foreign Key
  • Create Table using SQL Script
  • Insert query
  • Update query
  • Delete query
  • Alter Table
  • Drop Table
  • Check Constraint
  • NOT NULL Constraint
  • UNIQUE Constraint
  • Overview of Database and Tables
  • Creating a Database backup using SSMS
  • Restoring a Database from backup using SSMS

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