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£9.99
£9.99
Delivered Online
All levels
Course Overview
This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field.
Course Description
In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development.
Course Modules:
Module 01: JavaScript Getting Started
Module 02: JavaScript Fundamentals
Module 03: JavaScript Strings
Module 04: JavaScript Operators
Module 05: JavaScript Conditional Statements
Module 06: JavaScript Control Flow Statements
Module 07: JavaScript Functions
Module 08: Data Visualization (Google Charts)
Module 09: JavaScript Error Handling
Module 10: JavaScript Client-Side Validations
Module 11: Python Introduction
Module 12: Python Basic
Module 13: Python Strings
Module 14: Python Operators
Module 15: Python Data Structures
Module 16: Python Conditional Statements
Module 17: Python Control Flow Statements
Module 18: Python Core Games
Module 19: Python Functions
Module 20: Python Args, KW Args for Data Science
Module 21: Python Project
Module 22: Publish Your Website for Live
Module 23: MS SQL Statements
Module 24: MS SQL Filtering Data
Module 25: MS SQL Functions
Module 26: MS SQL Joins
Module 27: MS SQL Advanced Commands
Module 28: MS SQL Structure and Keys
Module 29: MS SQL Queries
Module 30: MS SQL Structure Queries
Module 31: MS SQL Constraints
Module 32: MS SQL Backup and Restore
(See full curriculum)
Who is this course for?
Individuals seeking to enhance their skills in data science.
Professionals aiming to expand their knowledge in programming and database management.
Beginners with an interest in Python, JavaScript, and SQL.
Anyone looking to enter the field of data science or web development.
Career Path
Data Scientist
Web Developer
Database Administrator
Data Analyst
Front-End Developer
Full Stack Developer
Data Engineer
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