Learn Python, JavaScript, and Microsoft SQL for Data science
Learn Python, JavaScript, and Microsoft SQL for Data science
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22 hours, 8 minutes
Course Overview
Become a trained professional from the safety and comfort of your own home by taking Learn Python, JavaScript, and Microsoft SQL for Data science . Whatever your situation and requirements, One Education can supply you with professional teaching, gained from industry experts, and brought to you for a great price with a limited-time discount.
One Education has been proud to produce an extensive range of best-selling courses, and Learn Python, JavaScript, and Microsoft SQL for Data science is one of our best offerings. It is crafted specially to promote easy learning at any location with an online device. Each topic has been separated into digestible portions that can be memorised and understood in the minimum of time.
Teaching and training are more than just a job for the staff at One Education; we take pride in employing those who share our vision for e-learning and its importance in today’s society. To prove this, all learning materials for each course are available for at least one year after the initial purchase.
All of our tutors and IT help desk personnel are available to answer any questions regarding your training or any technical difficulties.
By completing Learn Python, JavaScript, and Microsoft SQL for Data science, you will have automatically earnt an e-certificate that is industry-recognised and will be a great addition to your competencies on your CV.
Whatever your reason for studying Learn Python, JavaScript, and Microsoft SQL for Data science, make the most of this opportunity from One Education and excel in your chosen field.
Please be aware that there are no hidden fees, no sudden exam charges, and no other kind of unexpected payments. All costs will be made very clear before you even attempt to sign up.
Course design
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
- Video lessons
- Online study materials
Will I receive a certificate of completion?
Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15.
Why study this course
It doesn’t matter if you are an aspiring professional or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.
The Learn Python, JavaScript, and Microsoft SQL for Data science is fully available to anyone, and no previous qualifications are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.
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 | ||
| Order Your Certificate | |||
| Order Your Certificate Now | 00:00:00 | ||
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