All Courses for £49
Yes, this Python JavaScript SQL course is suitable for beginners. It starts with basic programming concepts before moving into more practical topics. As a result, learners can build confidence gradually without needing previous coding experience.
Learn Python, JavaScript, and Microsoft SQL for Data Science – Online Course UK
- Price: Guaranteed Low Price + Free Course
- Level: CPD Award
- Course Type: 100% Online Course
- Syllabus: 39 Sections + Assignment
- Duration: 22+ hours guided classes
- Exams: Yes, included
- Accreditation: Instant CPD Certification After Completing the Course
- Certificate: CPD Accredited Digital Certificate – Included FREE
- Tutor Support: Support included
- Access: Lifetime (Unlimited)
- Compatibility: Any Browser Device
Overview of Learn Python, JavaScript, and Microsoft SQL for Data Science | CPD Accredited Course
Have you ever wondered how companies turn raw data into smart decisions and powerful insights? In today’s digital world, data-driven skills are in high demand, with recent reports showing that data science and analytics roles are among the fastest-growing careers globally. Therefore, learning Python data science, JavaScript data visualisation, and Microsoft SQL is no longer optional—it is becoming essential for anyone looking to build a future in tech. This data science online course UK is designed to help you master these three powerful tools in one structured learning journey.
Moreover, this Learn Python, JavaScript, and Microsoft SQL for Data Science course gives you a complete foundation in programming, data analysis, and database management. You will start with Python programming for data analysis, then explore JavaScript for creating interactive charts and dashboards, and finally learn Microsoft SQL Server for managing and querying data efficiently. As a result, you will understand how data flows from databases to analysis and then into visual presentations. In addition, this online data science certification UK simplifies complex concepts into easy lessons, so even beginners can follow confidently.
Furthermore, this course focuses on practical, real-world learning rather than theory alone. You will work on coding exercises, SQL queries, JavaScript visualisations, and hands-on projects that reflect real industry tasks. Therefore, you will not only learn how to write code but also how to apply it in data science workflows. Ultimately, this CPD accredited data science course helps you build job-ready skills, improve your problem-solving ability, and move closer to roles such as data analyst, web developer, or junior data scientist.
Exclusive Course Glimpse
What You Will Learn in Learn Python, JavaScript, and Microsoft SQL for Data Science
This Python JavaScript SQL course UK is structured to help you build technical skills step by step. Moreover, it begins with programming basics and gradually moves into data visualisation, SQL queries, databases, joins, functions, and practical projects. As a result, you can learn with confidence while developing job-ready data skills.
By the end of this course, you will be able to:
- Understand JavaScript basics: Learn variables, data types, operators, functions, loops, and control flow
- Create data visualisations: Build line graphs, scatter plots, bar charts, pie charts, and interactive visuals
- Write Python code: Learn Python variables, strings, operators, data structures, loops, functions, and projects
- Use Python for data science: Build a strong foundation for data manipulation, analysis, and automation
- Write SQL queries: Use SELECT, WHERE, ORDER BY, GROUP BY, HAVING, JOIN, INSERT, UPDATE, and DELETE statements
- Manage Microsoft SQL Server: Learn database tables, keys, constraints, backup, restore, and SQL Server Management Studio
- Build practical coding confidence: Complete hands-on tasks, exercises, and beginner-friendly programming projects
- Connect data skills together: Understand how Python, JavaScript, and SQL support real-world data science workflows
In addition, you will learn how front-end programming, back-end database queries, and data analysis work together. Furthermore, you will develop the confidence to read, clean, query, visualise, and present data more effectively. Therefore, this course helps you move towards practical data science and analytics roles.
Ultimately, this online data science certification UK helps you build a strong technical foundation across programming, data visualisation, and database management.
Why Choose Us?
Many learners search for the best beginner data science course UK, but not every course combines Python, JavaScript, and Microsoft SQL in one learning path. Therefore, this course is designed to help you gain practical, flexible, and career-focused data skills.
In addition, this course offers key benefits:
- Affordable Learning: Structured lessons for smooth progress
- CPD-Certified: Strengthen your CV with recognised credentials
- Lifetime Access: Learn anytime at your own pace
- Instant Certificate: Receive certification upon completion
- Flexible Scheduling: Study around your work or studies
- Transparent Pricing: No hidden costs
- Quick Assessments: Monitor your progress easily
- 24/7 Support: Assistance via chat or email
Thus, this CPD accredited data science course supports both learning and career development.
Course Curriculum
Learn Python, JavaScript, and Microsoft SQL for Data Science Course
JavaScript Getting Started – Learn what JavaScript is, install code editors, write your first Hello World program, and understand basic output
JavaScript Fundamentals – Explore internal, external, and inline JavaScript, variables, data types, numbers, booleans, arrays, objects, and comments
JavaScript Strings – Learn strings, string formatting, and useful string methods for practical coding tasks
JavaScript Operators – Understand arithmetic, assignment, comparison, and logical operators
JavaScript Conditional Statements – Use if, if-else, if-else-if, and switch-case statements for decision-making
JavaScript Control Flow Statements – Practise while loops, do-while loops, for loops, break, continue, and coding exercises
JavaScript Functions – Learn how to create functions, call functions, use parameters, and apply function bind methods
Data Visualisation with Google Charts – Create line graphs, scatter plots, bar charts, pie charts, and 3D pie charts
JavaScript Error Handling – Understand try-catch and try-catch-finally for better debugging
JavaScript Client-Side Validations – Build form validation, numeric validation, login validation, and password strength checks
Python Introduction – Learn Python basics, installation, PyCharm setup, command line basics, and your first Python program
Python Basics – Explore variables, data types, type casting, user inputs, and comments
Python Strings – Learn string slicing, built-in functions, and dynamic string formatting
Python Operators – Understand arithmetic, assignment, comparison, logical, AND, OR, NOT, and boolean operators
Python Data Structures – Work with lists, tuples, dictionaries, sets, nested dictionaries, sorting, joining, adding, and removing items
Python Conditional Statements – Use if and if-elif-else statements with coding exercises
Python Control Flow Statements – Learn flowcharts, while loops, for loops, range functions, nested loops, and 2D lists
Python Core Games – Build simple Python games, including a guessing game and car game
Python Functions – Create functions, call functions, and use arguments
Python Args and KW Args for Data Science – Understand arbitrary arguments and keyword arguments for flexible coding
Python Project – Complete an ATM real-time project to practise Python coding skills
Publish Your Website Live – Learn FileZilla, FTP setup, and website publishing basics
MS SQL Statements – Learn SQL basics, SELECT, SELECT DISTINCT, aliases, and COUNT methods
MS SQL Filtering Data – Use WHERE clauses, ORDER BY, BETWEEN, LIKE, ILIKE, and install MSSQL with SSMS
MS SQL Functions – Learn GROUP BY, SUM, MIN, MAX, HAVING, and SQL aggregation methods
MS SQL Joins – Understand INNER JOIN, FULL OUTER JOIN, LEFT OUTER JOIN, RIGHT OUTER JOIN, AS statements, and UNION
MS SQL Advanced Commands – Explore timestamps, scalar functions, string functions, and subqueries
MS SQL Structure and Keys – Learn database tables, data types, primary keys, foreign keys, and SQL script table creation
MS SQL Queries – Practise INSERT, UPDATE, and DELETE statements in Microsoft SQL
MS SQL Structure Queries – Modify, alter, and drop tables in SQL databases
MS SQL Constraints – Learn CHECK, NOT NULL, and UNIQUE constraints
MS SQL Backup and Restore – Create and restore database backups using SSMS
Certificate of Achievement
After completing this data science online course UK, you will receive a CPD-accredited certificate to confirm your learning professionally.
You can typically choose:
- PDF Certificate
- Hardcopy Certificate
- QLS Certificate (Optional Upgrade)
Moreover, certification helps learners:
📄 Strengthen your CV: Add recognised data science and programming certification
🎓 Demonstrate skills: Showcase Python, JavaScript, and SQL knowledge
📊 Boost employability: Stand out for data, analytics, and tech roles
✅ Prove learning: Validate your professional development
Therefore, if you are looking for a data science course with certificate UK, this course is a strong choice.
Who Is This Course For?
This learn Python JavaScript SQL course is suitable for anyone interested in programming, data analysis, web development, and database management. Moreover, it is designed for both beginners and learners who want to upgrade their technical skills in a structured way. As more companies use data for everyday decisions, learning Python, JavaScript, and SQL can help you build valuable career-ready skills.
In addition, this course is ideal for:
- Beginners: Start learning Python, JavaScript, and Microsoft SQL from scratch, while building confidence step by step
- Aspiring data analysts: Learn data analysis, SQL queries, and Python programming for data-focused roles
- Future data scientists: Build a foundation in programming, databases, and visualisation before moving into advanced data science
- Web developers: Add JavaScript, Python, and database skills to support full stack development
- Business intelligence learners: Understand SQL, charts, data structures, and reporting skills for BI roles
- Career changers: Enter tech and data-related fields confidently, even if you are starting from a different background
Furthermore, this course is flexible and easy to follow. As a result, you can study around work, family, or other commitments.
So, even if you have no prior coding experience, you can start this beginner data science course and gradually develop skills for data, software, and analytics careers.
Requirements
There are no formal requirements for this online Python JavaScript SQL training. However, learners should have:
● Basic English skills: To understand course materials clearly
● Device access: Use a computer, tablet, laptop, or smartphone
● Internet connection: Access lessons and online learning materials
● Interest in coding: Stay motivated while learning programming and databases
Because this course is fully online, you can learn at your own pace. Therefore, you can revisit lessons anytime and improve your programming, SQL, and data visualisation skills gradually.
Career Path of Python, JavaScript, and Microsoft SQL for Data Science
Completing this Python data science course UK can open doors to multiple data, software, and technology careers. Moreover, as businesses continue to rely on data-driven decisions, skills in Python, JavaScript, and Microsoft SQL are becoming more useful across many industries. Therefore, developing these skills can improve your career opportunities in data analysis, web development, business intelligence, and database roles.
Common career paths include:
● Data Analyst: £28,000 to £50,000
Analyse datasets, while creating reports and supporting business decisions using modern data tools
● Junior Data Scientist: £35,000 to £55,000
Use Python and SQL to explore data, while applying analytical methods to uncover valuable insights
● Business Intelligence Analyst: £35,000 to £60,000
Create dashboards and reports, while tracking business performance through data summaries
● Database Administrator: £30,000 to £55,000
Manage databases effectively, while ensuring data security and maintaining SQL systems
● Web Developer: £25,000 to £45,000
Build websites and web applications, while using JavaScript, Python, and database technologies
● Software Developer: £27,000 to £52,000
Develop applications and backend systems, while working with programming languages and databases
However, salaries may vary depending on experience, location, industry and technical ability.
Order Your Certificate
To order your Certificate, we kindly invite you to visit the following link
FAQs About Python, JavaScript, and Microsoft SQL for Data Science
Python is widely used in data science because it is simple, flexible, and powerful. It helps learners analyse data, build scripts, and prepare for machine learning concepts. Therefore, learning Python is a strong first step for anyone interested in data analysis or data science careers.
In Microsoft SQL Server training, you will learn how to write SQL queries, filter data, group results, use joins, and manage tables. You will also explore primary keys, foreign keys, constraints, backup, and restore tasks. Therefore, you can build strong database skills for data and business roles.
After learning Python, JavaScript, and SQL, you may explore roles such as data analyst, junior data scientist, web developer, database administrator, software developer, or business intelligence analyst. However, your role will depend on your experience, portfolio, and practical skills. Therefore, continuing to practise projects is important.
No, you do not need coding experience before joining this course. The lessons are designed to begin with simple programming concepts and then move into more detailed topics. Therefore, you can start learning even if you are completely new to coding.
Course Curriculum
| JavaScript Getting Started | |||
| What is JavaScript | 00:09:00 | ||
| Installing Code Editor(Sublime Text) | 00:04:00 | ||
| Installing Code Editor(Visual Studio Code) | 00:07:00 | ||
| Hello World Program | 00:14:00 | ||
| Getting Output | 00:11:00 | ||
| Summary | 00:02:00 | ||
| JavaScript Fundamentals | |||
| Introduction | 00:02:00 | ||
| Internal JavaScript | 00:13:00 | ||
| External JavaScript | 00:09:00 | ||
| Inline JavaScript | 00:04:00 | ||
| Async and defer | 00:06:00 | ||
| Variables | 00:13:00 | ||
| Data Types | 00:10:00 | ||
| Numbers | 00:06:00 | ||
| Boolean | 00:04:00 | ||
| Arrays() | 00:12:00 | ||
| Objects | 00:06:00 | ||
| Comments | 00:05:00 | ||
| Summary | 00:01:00 | ||
| JavaScript Strings | |||
| Introduction | 00:02:00 | ||
| Strings | 00:06:00 | ||
| String Formatting | 00:05:00 | ||
| String Methods | 00:12:00 | ||
| Summary | 00:02:00 | ||
| JavaScript Operators | |||
| Introduction | 00:02:00 | ||
| Arithmetic operators | 00:07:00 | ||
| Assignment operators | 00:03:00 | ||
| Comparison operators | 00:06:00 | ||
| Logical operators | 00:08:00 | ||
| Summary | 00:02:00 | ||
| JavaScript Conditional Statements | |||
| Introduction | 00:02:00 | ||
| If statement | 00:04:00 | ||
| If-else statement | 00:05:00 | ||
| If-else-if statement | 00:04:00 | ||
| Switch-case statement | 00:09:00 | ||
| Summary | 00:01:00 | ||
| JavaScript Control Flow Statements | |||
| Introduction | 00:02:00 | ||
| While loop | 00:09:00 | ||
| Do-while loop | 00:03:00 | ||
| For loop | 00:08:00 | ||
| Break | 00:02:00 | ||
| Continue | 00:03:00 | ||
| Coding Exercise | 00:02:00 | ||
| Solution for Coding Exercise | 00:02:00 | ||
| Summary | 00:02:00 | ||
| JavaScript Functions | |||
| Introduction | 00:02:00 | ||
| Creating a Function | 00:07:00 | ||
| Function Call() | 00:07:00 | ||
| Function with parameters | 00:05:00 | ||
| Function Bind() | 00:06:00 | ||
| Summary | 00:01:00 | ||
| Data Visualization(Google Chats) | |||
| Introduction | 00:01:00 | ||
| How to Use Google chart script | 00:04:00 | ||
| Line Graph chart | 00:14:00 | ||
| Scatter plots chart | 00:02:00 | ||
| Bar chart | 00:04:00 | ||
| Pie chart | 00:02:00 | ||
| 3D Pie chart | 00:02:00 | ||
| Summary | 00:01:00 | ||
| JavaScript Error Handling | |||
| Introduction | 00:01:00 | ||
| Try-catch | 00:05:00 | ||
| Try-catch-finally | 00:17:00 | ||
| Summary | 00:01:00 | ||
| JavaScript Client-Side Validations | |||
| Introduction | 00:11:00 | ||
| On Submit Validation | 00:09:00 | ||
| Input Numeric Validation | 00:12:00 | ||
| Login Form Validation | 00:05:00 | ||
| Password Strength Check Validation | 00:04:00 | ||
| Summary | 00:01:00 | ||
| Python Introduction | |||
| Introduction to Python | 00:02:00 | ||
| Python vs Other Languages | 00:04:00 | ||
| Why It’s 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 | ||
| 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 | ||
| Python Strings | |||
| Strings | 00:05:00 | ||
| String Slicing | 00:04:00 | ||
| String Built-in Functions | 00:09:00 | ||
| Formatting String (Dynamic Data) | 00:05:00 | ||
| 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 | ||
| Python Data Structures | |||
| Arrays in Earler | 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 Disctionaries | 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 | ||
| Python Conditional Statements | |||
| If Statement | 00:03:00 | ||
| If-elif-else Statement | 00:04:00 | ||
| If Statement Coding Excercise | 00:05:00 | ||
| 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 | 00:04:00 | ||
| 2D List using Nested Loop | 00:04:00 | ||
| Python Core Games | |||
| Guessing Game | 00:07:00 | ||
| Car Game | 00:10:00 | ||
| Python Functions | |||
| Creating a Function | 00:03:00 | ||
| Calling a Function | 00:06:00 | ||
| Function with Arguments | 00:05:00 | ||
| Python Args, KW Args For Data Science | |||
| args, Arbitary Arguments | 00:04:00 | ||
| kwargs, Arbitary Keyword Arguments | 00:06:00 | ||
| Python Project | |||
| Project Overview | 00:04:00 | ||
| ATM RealTime Project | 00:13:00 | ||
| Publish Your Website for Live | |||
| Introduction | 00:02:00 | ||
| Installing Free FTP Solution (FileZilla) | 00:04:00 | ||
| Setting Up FTP (File Transfer Protocol) | 00:03:00 | ||
| Publish Website to Hosting Server | 00:04:00 | ||
| Summary | 00:01:00 | ||
| 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 built-in Method usage | 00:10:00 | ||
| MS SQL Filtering Data | |||
| SELECT WHERE Clause – One | 00:05:00 | ||
| SELECT WHERE Clause – Two | 00:12:00 | ||
| SQL ORDER BY Statement | 00:10:00 | ||
| MSSQL Installation | 00:27:00 | ||
| MSSQL SSMS Installation | 00:08:00 | ||
| SQL Using BETWEEN with Same Column Data | 00:13:00 | ||
| Wildcard Characters with LIKE and ILIKE | 00:13:00 | ||
| 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 – Part One | 00:11:00 | ||
| GROUP BY – Part Two | 00:14:00 | ||
| HAVING Statement | 00:15:00 | ||
| Overview of JOINS | 00:07:00 | ||
| Overview of JOINS | 00:03:00 | ||
| MS SQL Joins | |||
| 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 | ||
| 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 | ||
| SubQuery | 00:04:00 | ||
| 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 | ||
| MS SQL Queries | |||
| Insert Statement in MS SQL | 00:06:00 | ||
| Update Statement in MS SQL | 00:08:00 | ||
| Delete Statement in MS SQL | 00:07:00 | ||
| MS SQL Structure Queries | |||
| Alter / Modification Table in MS SQL | 00:04:00 | ||
| Drop Table in MS SQL | 00:03:00 | ||
| MS SQL Constraints | |||
| Check Constraint | 00:14:00 | ||
| NOT NULL Constraint | 00:12:00 | ||
| UNIQUE Constraint | 00:11:00 | ||
| 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 | 00:00:00 | ||
| Order Your QLS Certificate | |||
| Order Your QLS Certificate | 00:00:00 | ||
