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Learn Python, JavaScript, and Microsoft SQL for Data science
Become a data scientist with the in-demand skills of Python, JavaScript, and Microsoft SQL. This comprehensive course will teach you the essential skills you need to succeed.
Course Highlights
Python is a general-purpose programming language that is widely used in data science. It is known for its simplicity, readability, and versatility. In this Python, JavaScript, and Microsoft SQL for Data science course, you will learn the basics of Python, including variables, data types, operators, conditional statements, control flow statements, functions and error handling. You will also learn how to use Python for data science tasks such as cleaning, analysis and visualization.
JavaScript is a scripting language. It is primarily used for front-end web development. However, it also can be used for data science tasks such as data visualization and data analysis.
In this course, you will learn the basics of JavaScript, including variables, data types, operators, conditional statements, control flow statements, functions, and error handling. You will also learn how to use JavaScript for data science tasks such as data cleaning and data visualization.
Microsoft SQL is a relational database management system (RDBMS) that stores, manages, and retrieves data. It is one of the most popular RDBMSs in the world.
In this course, you will learn the basics of Microsoft SQL, including SQL statements, data manipulation statements, data query statements, and data definition statements. You will also learn to use Microsoft SQL to create, read, update, and delete data from a database.
Learning outcome
- Understand the foundational principles of JavaScript, Python, and Microsoft SQL.
- Develop proficiency in Python’s Object Oriented Programming and its applications.
- Craft and execute advanced MS SQL queries and commands.
- Write JavaScript code to create and manipulate web pages
- Use Python for data science tasks such as data cleaning, analysis, and visualization
- Query and manage data using Microsoft SQL
- Develop and design data science solutions
Course media
Why should I take this course?
- Comprehensive coverage of three primary data science languages.
- Tailored curriculum to ensure step-by-step progression.
- Future-proof your skills in an ever-evolving tech landscape.
- Position yourself as a versatile coder in the job market.
- Transform raw data into insightful conclusions effectively.
Career Path
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Software Engineer
- Web Developer
Requirements
- No prior programming experience is required
- Access to a computer with an internet connection
- A willingness to learn and practice
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 | ||
| 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 | 00:08:00 | ||
| 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 | ||
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1 Year Access 
18 Students 
22 hours, 6 minutes