課程資料
課程簡介
Learn Python and JavaScript how to use it to analyze, visualize and present data using Microsoft SQL queries
Unlock the power of Python, JavaScript, and Microsoft SQL for data science with the "Learn Python + JavaScript + Microsoft SQL for Data Science" course. This comprehensive course is designed for those looking to develop a strong foundation in data science and analytics by mastering key programming languages and databases that are integral to data-driven decision-making.
update: Learn the top AI tools every professional needs to boost productivity
You’ll begin by learning Python, one of the most powerful and popular languages for data science. Explore core Python concepts, libraries, and discover how to manipulate, analyze, and visualize data efficiently.
update: Learn the top AI tools every professional needs to boost productivity
Next, you’ll explore JavaScript and its relevance in data science, particularly for building interactive data visualizations and integrating web-based data applications. Learn how to use JavaScript frameworks create interactive graphs and data-driven visualizations that can enhance your data analysis.
The course also covers Microsoft SQL Server, teaching you how to query and manage databases using T-SQL, extract meaningful data with advanced SQL queries, and perform complex data operations. You’ll learn to design efficient database structures, optimize queries, and SQL databases with Python for seamless data processing.
Throughout the course, you’ll work on hands-on projects that integrate all three technologies, preparing you to solve real-world data science problems.
Enroll now and develop the skills you need to become a proficient data scientist using Python, JavaScript, and Microsoft SQL!
課程章節
- 39 個章節
- 188 堂課
- 第 1 章 Introduction
- 第 2 章 Future Essential AI Tools for Every Professional
- 第 3 章 JavaScript Basics
- 第 4 章 JavaScript Operators
- 第 5 章 JavaScript Conditional Statements
- 第 6 章 JavaScript Control Flow Statements
- 第 7 章 JavaScript Functions
- 第 8 章 JavaScript Error Handling
- 第 9 章 JavaScript Client-Side Validations
- 第 10 章 Python Introduction
- 第 11 章 Python Basic
- 第 12 章 Python Strings
- 第 13 章 Python Operators
- 第 14 章 Python Data Structures
- 第 15 章 Python Conditional Statements
- 第 16 章 Python control flow statements
- 第 17 章 Python core games
- 第 18 章 Python functions
- 第 19 章 Python args, KW args for Data Science
- 第 20 章 Python project
- 第 21 章 Python Object oriented programming [OOPs]
- 第 22 章 Python Methods
- 第 23 章 Python Class and Objects
- 第 24 章 Python Inheritance and Polymorphism
- 第 25 章 Python Encapsulation and Abstraction
- 第 26 章 Python OOPs Games
- 第 27 章 Python Modules and Packages
- 第 28 章 Python Error Handling
- 第 29 章 Microsoft SQL[MS] Introduction
- 第 30 章 MS SQL Statements
- 第 31 章 MS SQL Filtering Data
- 第 32 章 MS SQL Functions
- 第 33 章 MS SQL Joins
- 第 34 章 MS SQL Advanced commands
- 第 35 章 MS SQL Structure and Keys
- 第 36 章 MS SQL Queries
- 第 37 章 MS SQL Structure queries
- 第 38 章 MS SQL Constraints
- 第 39 章 MS SQL Backup and Restore
課程內容
- Write python code for webapps, Get a job as a junior web developer, Create your own stunning, layouts for awesome websites, Applying python code on Data Science projects, Master client-end development using JavaScript, back-end development Python and Microsoft SQL, Working with Relational Database of Microsoft SQL, Apply JavaScript, Python for data science and Microsoft SQL database queries on real-world tasks, Create fully function web apps using Python, MSSQL and JavaScript, learn what is Generative AI for future learning, Participate in Coding Exercise to test your learning skills, Learn how to boost productivity and save time using AI-driven platforms
此課程所涵蓋的技能
評價
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VVaishnavi Kurund
Good
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YYi Chen Goh
It's uncommon for a course to teach you how to excel in both front-end and back-end development while also including ideas from data science and Generative AI. This experience includes practical coding tasks and learning how to use MSSQL for managing databases, making it a great starting
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AAna Sofía Ramos
The clear steps for learning client-side development with JavaScript, server-side coding with Python, and managing databases with Microsoft SQL made it interesting and challenging.
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ZZainabu Conteh
From a beginner to a data expert. This course feels like discovering hidden stages in a video game. Python, JavaScript, and SQL combined into one – a big win for anyone starting out in data science.