Arian Skill Development Centre
Overview: Learn Python, JavaScript, and Microsoft SQL for Data science
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
- 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. 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.
We guarantee that all our online courses will meet or exceed your
expectations. If you are not fully satisfied with a course - for
any reason at all - simply request a full refund. We guarantee no
hassles. That's our promise to you.
Go ahead and order with confidence!
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Course Curriculum
| Section 01: JavaScript Introduction | |||
| 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 | |||
| Section 02: JavaScript Basics | |||
| Variables | |||
| Data Types | |||
| Numbers | |||
| Strings | |||
| String Formatting | |||
| Section 03: JavaScript Operators | |||
| Arithmetic operators | |||
| Assignment operators | |||
| Comparison operators | |||
| Logical operators | |||
| Section 04: JavaScript Conditional Statements | |||
| If-else statement | |||
| If-else-if statement | |||
| Section 05: JavaScript Control Flow Statements | |||
| While loop | |||
| Do-while loop | |||
| For loop | |||
| Coding Exercise | |||
| Solution for Coding Exercise | |||
| Section 06: JavaScript Functions | |||
| Creating a Function | |||
| Function Call() | |||
| Function with parameters | |||
| Section 07: JavaScript Error Handling | |||
| Try-catch | |||
| Try-catch-finally | |||
| Section 08: JavaScript Client-Side Validations | |||
| On Submit Validation | |||
| Input Numeric Validation | |||
| Section 09: Python Introduction | |||
| 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 | |||
| Section 10: Python Basic | |||
| Variables | |||
| Data Types | |||
| Type Casting | |||
| User Inputs | |||
| Comments | |||
| Section 11: Python Strings | |||
| Strings | |||
| String Indexing | |||
| String Slicing | |||
| String Built-in Functions | |||
| Formatting String (Dynamic Data) | |||
| Section 12: Python Operators | |||
| Arithmetic Operators | |||
| Assignment Operators | |||
| Comparison Operators | |||
| Logical Operators | |||
| AND Operator | |||
| OR Operator | |||
| NOT Operator | |||
| Booleans | |||
| Section 13: Python Data Structures | |||
| 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 | |||
| Section 14: Python Conditional Statements | |||
| If Statement | |||
| If-else Statement | |||
| If-elif-else Statement | |||
| If Statement Coding Exercise | |||
| Section 15: Python control flow statements | |||
| Flow Charts | |||
| While Loops Statement | |||
| For Loops Statement | |||
| The range() Function | |||
| Nested Loops | |||
| 2D List using Nested Loop | |||
| Section 16: Python core games | |||
| Guessing Game | |||
| Car Game | |||
| Section 17: Python functions | |||
| Creating a Function | |||
| Calling a Function | |||
| Function with Arguments | |||
| Section 18: Python args, KW args for Data Science | |||
| Args, Arbitary Arguments | |||
| kwargs, Arbitary Keyword Arguments | |||
| Section 19: Python project | |||
| Project Overview | |||
| ATM Realtime Project | |||
| Section 20: Python Object oriented programming [OOPs] | |||
| Introduction to Class | |||
| Create a Class | |||
| Calling a Class Object | |||
| Class Parameters – Objects | |||
| Access Modifiers(theory) | |||
| Section 21: Python Methods | |||
| Introduction to methods | |||
| Create a method | |||
| Method with parameters | |||
| Method default parameter | |||
| Multiple parameters | |||
| Method return keyword | |||
| Method Over loading | |||
| Section 22: Python Class and Objects | |||
| Introduction to OOPs | |||
| Classes and Objects | |||
| Class Constructors | |||
| Section 23: Python Inheritance and Polymorphism | |||
| Introduction | |||
| Inheritance | |||
| Polymorphism | |||
| Assessment Test | |||
| Solution for Assessment Test | |||
| Section 24: Python Encapsulation and Abstraction | |||
| Introduction | |||
| Access Modifiers (public, protected, private) | |||
| Encapsulation | |||
| Abstraction | |||
| Section 25: Python OOPs Games | |||
| Dice Game | |||
| Card and Deck Game Playing | |||
| Section 26: Python Modules and Packages | |||
| PIP command installations | |||
| Modules | |||
| Built-in Modules | |||
| Packages | |||
| Reading CSV files | |||
| Section 27: Python Error Handling | |||
| Errors – Types of Errors | |||
| Try – Except Exceptions Handling | |||
| Try-Except-Finally Blocks | |||
| Section 28: Microsoft SQL[MS] Introduction | |||
| Introduction | |||
| Overview of Databases | |||
| MSSQL Installation | |||
| MSSQL SSMS Installation | |||
| Connecting to MS-SQL (Windows Authentication) | |||
| Connecting to MS-SQL (SQL Server Authentication) | |||
| Section 29: MS SQL Statements | |||
| SQL statement basic | |||
| SELECT Statement | |||
| SELECT DISTINCT | |||
| Column AS Statement | |||
| COUNT | |||
| Section 30: MS SQL Filtering Data | |||
| SELECT WHERE Clause – One | |||
| SELECT WHERE Clause – Two | |||
| ORDER BY | |||
| TOP in MSSQL | |||
| BETWEEN | |||
| IN Operator – Condition | |||
| LIKE | |||
| Section 31: MS SQL Functions | |||
| Overview of GROUP BY | |||
| Aggregation Function – SUM() | |||
| Aggregation Function – MIN()-MAX() | |||
| GROUP BY – One(theory) | |||
| GROUP BY – Two(practical) | |||
| HAVING | |||
| Section 32: MS SQL Joins | |||
| Overview of JOINS | |||
| Introduction to JOINS | |||
| AS Statement | |||
| INNER Join | |||
| Full Outer Join | |||
| Left Outer Join | |||
| Right Outer Join | |||
| Union | |||
| Section 33: MS SQL Advanced commands | |||
| Basic of Advanced SQL Commands | |||
| Timestamp | |||
| Extract from Timestamp | |||
| Mathematical Scalar Functions | |||
| String Functions | |||
| Sub Query | |||
| Section 34: MS SQL Structure and Keys | |||
| 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 | |||
| Section 35: MS SQL Queries | |||
| Insert query | |||
| Update query | |||
| Delete query | |||
| Section 36: MS SQL Structure queries | |||
| Alter Table | |||
| Drop Table | |||
| Section 37: MS SQL Constraints | |||
| Check Constraint | |||
| NOT NULL Constraint | |||
| UNIQUE Constraint | |||
| Section 38: MS SQL Backup and Restore | |||
| Overview of Database and Tables | |||
| Creating a Database backup using SSMS | |||
| Restoring a Database from backup using SSMS | |||