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Learn Python, JavaScript, and Microsoft SQL for Data science Course

Learn Python, JavaScript, and Microsoft SQL for Data science Course

  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • On-Demand course

  • 22 hours

  • All levels

Description

If data is the new oil, then coding is your refinery. Whether you're exploring the depths of machine learning or navigating databases with ease, this course sharpens your edge in the competitive world of data science. With a sharp focus on three industry-leading languages—Python, JavaScript, and Microsoft SQL—you’ll build the solid foundations needed to analyse, automate, and query data confidently. From writing clean scripts to crafting smart SQL queries, you’ll develop the mindset to speak fluently in the language of data.

Delivered entirely online, the course keeps your learning agile and accessible. Python lays the groundwork for analysis and automation, JavaScript helps in data visualisation and interaction, and SQL ensures you can command databases without blinking. It's not about ticking boxes—it’s about building fluency in what matters. Whether you're upskilling or aiming for a sharper digital edge, this course speaks directly to future-focused learners ready to code with purpose.

Expert Support

Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course.

Key Benefits

  • Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.

  • Get 24/7 access to all content for a full year.

  • Each of our students gets full tutor support on weekdays (Monday to Friday)

Course Curriculum:

JavaScript

  • Section 01: Introduction

  • Section 02: Basics

  • Section 03: Operators

  • Section 04: Conditional Statements

  • Section 05: Control Flow Statements

  • Section 06: Functions

  • Section 07: Error Handling

  • Section 08: Client-Side Validations

Python

  • Section 09: Introduction

  • Section 10: Basic

  • Section 11: Strings

  • Section 12: Operators

  • Section 13: Data Structures

  • Section 14: Conditional Statements

  • Section 15: control flow statements

  • Section 16: core games

  • Section 17: functions

  • Section 18: args, KW args for Data Science

  • Section 19: project

  • Section 20: Object oriented programming [OOPs]

  • Section 21: Methods

  • Section 22: Class and Objects

  • Section 23: Inheritance and Polymorphism

  • Section 24: Encapsulation and Abstraction

  • Section 25: OOPs Games

  • Section 26: Modules and Packages

  • Section 27: Error Handling

Microsoft SQL

  • Section 28: Introduction

  • Section 29: Statements

  • Section 30: Filtering Data

  • Section 31: Functions

  • Section 32: Joins

  • Section 33: Advanced commands

  • Section 34: Structure and Keys

  • Section 35: Queries

  • Section 36: Structure queries

  • Section 37: Constraints

  • Section 38: Backup and Restore

Course Assessment

To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.

When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.

Exam & Retakes:
It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.

Certification
Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).

Who is this course for?

This Learn Python, JavaScript, and Microsoft SQL for Data science course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge.

Requirements

This Learn Python, JavaScript, and Microsoft SQL for Data science course is open to all, with no formal entry requirements.

Career path

Upon successful completion of the Learn Python, JavaScript, and Microsoft SQL for Data science Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

About The Provider

With a team of industry professionals producing and delivering our course content, you can be sure the skills and knowledge you learn apply to your career aspirations in manag...

Read more about One Education

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