Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
22 Hour(s) 36 Minute(s)
Language
English
Taught by
Metla Sudha Sekhar
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
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!
Course Content
- 39 section(s)
- 188 lecture(s)
- Section 1 Introduction
- Section 2 Future Essential AI Tools for Every Professional
- Section 3 JavaScript Basics
- Section 4 JavaScript Operators
- Section 5 JavaScript Conditional Statements
- Section 6 JavaScript Control Flow Statements
- Section 7 JavaScript Functions
- Section 8 JavaScript Error Handling
- Section 9 JavaScript Client-Side Validations
- Section 10 Python Introduction
- Section 11 Python Basic
- Section 12 Python Strings
- Section 13 Python Operators
- Section 14 Python Data Structures
- Section 15 Python Conditional Statements
- Section 16 Python control flow statements
- Section 17 Python core games
- Section 18 Python functions
- Section 19 Python args, KW args for Data Science
- Section 20 Python project
- Section 21 Python Object oriented programming [OOPs]
- Section 22 Python Methods
- Section 23 Python Class and Objects
- Section 24 Python Inheritance and Polymorphism
- Section 25 Python Encapsulation and Abstraction
- Section 26 Python OOPs Games
- Section 27 Python Modules and Packages
- Section 28 Python Error Handling
- Section 29 Microsoft SQL[MS] Introduction
- Section 30 MS SQL Statements
- Section 31 MS SQL Filtering Data
- Section 32 MS SQL Functions
- Section 33 MS SQL Joins
- Section 34 MS SQL Advanced commands
- Section 35 MS SQL Structure and Keys
- Section 36 MS SQL Queries
- Section 37 MS SQL Structure queries
- Section 38 MS SQL Constraints
- Section 39 MS SQL Backup and Restore
What You’ll Learn
- 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
Skills covered in this course
Reviews
-
VVaishnavi Kurund
Good
-
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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RRadomir Đurić
Engaging in coding exercises allowed me to maintain my concentration, and applying these tools to actual data science projects made the experience feel authentic. A great opportunity for new developers and people interested in data.
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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.
