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Learn Python + JavaScript + Microsoft SQL for Data science

Metla Sudha Sekhar

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. 

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.

Read more

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. 

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.

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.

Enroll now

What's inside

Learning objectives

  • 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

Syllabus

Introduction
How to ask great questions
Installing Code Editor
What is JavaScript
Read more
Hello World Program
Getting Output
Internal JavaScript
External JavaScript
Inline JavaScript
Async and defer

you will learn file extensions and source code notes

Generative artificial intelligence is artificial intelligence capable of generating text, images, videos, or other data using generative models, often in response to prompts. best ai tools are chatgpt, tabnine for developers, and more


You will learn how to learn online courses in a more productive way.

JavaScript Basics
Variables
Data Types
Numbers
Strings
String Formatting
creating variables exercise
JavaScript Operators
Arithmetic operators
Assignment operators
Comparison operators
Logical operators
JavaScript Conditional Statements
If-else statement
If-else-if statement
JavaScript Control Flow Statements
While loop
Do-while loop
For loop
Coding Exercise
Solution for Coding Exercise
JavaScript Functions
Creating a Function
Function Call()
Function with parameters
JavaScript Error Handling
Try-catch
Try-catch-finally
JavaScript Client-Side Validations
On Submit Validation
Input Numeric Validation
Python Introduction
Introduction to Python
Python vs. Other Languages
Why Its Popular
Command Line Basics
Python Installation (Step By Step)
PyCharm IDE Installation
Getting Start PyCharm IDE
First Python Hello World Program
Python Basic
Type Casting
User Inputs
Comments
Python Strings
String Indexing
String Slicing
String Built-in Functions
Formatting String (Dynamic Data)
Python Operators
Arithmetic Operators
Assignment Operators
Comparison Operators
Logical Operators
AND Operator
OR Operator
NOT Operator
Booleans
Python Data Structures
Arrays in Earlier
Lists
Add List Items
Remove List Items
Sort Lists
Join Lists
Tuples
Update tuples
Join tuples
Dictionaries
Add Dictionary Items
Remove Dictionary Items
Nested Dictionaries
Sets
Add Set Items
Remove Set Items
Join Set Items
Python Conditional Statements
If Statement
If-else Statement
If-elif-else Statement
If Statement Coding Exercise
Python control flow statements
Flow Charts

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers Python, JavaScript, and Microsoft SQL, which are essential technologies for full-stack web development and data-driven applications
Includes hands-on projects that integrate Python, JavaScript, and Microsoft SQL, providing practical experience in solving real-world data science problems
Explores JavaScript for building interactive data visualizations, which enhances data analysis and presentation skills for web-based applications
Teaches Microsoft SQL Server, covering database querying, management using T-SQL, and optimization, which are critical for data extraction and processing
Introduces Generative AI, which is a forward-looking topic that may be useful for learners interested in the future of data science and AI
Includes coding exercises to test learning skills, which helps reinforce concepts and provides opportunities for self-assessment

Save this course

Save Learn Python + JavaScript + Microsoft SQL for Data science to your list so you can find it easily later:
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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn Python + JavaScript + Microsoft SQL for Data science with these activities:
Review Python Fundamentals
Strengthen your understanding of Python fundamentals to prepare for data science applications.
Browse courses on Python Basics
Show steps
  • Review Python syntax and data structures.
  • Practice writing basic Python scripts.
  • Complete online Python tutorials.
Brush Up on JavaScript Basics
Revisit JavaScript fundamentals to better understand its role in data visualization.
Show steps
  • Review JavaScript syntax and data types.
  • Practice writing simple JavaScript functions.
  • Explore online JavaScript tutorials.
Review 'SQL for Data Analysis'
Deepen your understanding of SQL for data analysis.
View SQL for Data Analysis: Advanced Techniques for... on Amazon
Show steps
  • Read the book's chapters on advanced SQL techniques.
  • Practice the SQL queries and exercises provided in the book.
  • Apply the techniques to real-world datasets.
Four other activities
Expand to see all activities and additional details
Show all seven activities
SQL Query Practice
Reinforce your SQL skills through targeted practice exercises.
Show steps
  • Solve SQL problems on platforms like LeetCode or HackerRank.
  • Focus on different types of SQL queries (joins, aggregations, subqueries).
  • Analyze and optimize query performance.
Build a Simple Data Dashboard
Apply your Python, JavaScript, and SQL skills to create a data dashboard.
Show steps
  • Design the layout and functionality of the dashboard.
  • Use Python to extract data from a SQL database.
  • Use JavaScript to visualize the data in the dashboard.
  • Deploy the dashboard to a web server.
Write a Blog Post on a Data Science Topic
Solidify your understanding by explaining a data science concept using Python, JavaScript, or SQL.
Show steps
  • Choose a specific data science topic related to the course.
  • Research the topic and gather relevant information.
  • Write a clear and concise blog post explaining the concept.
  • Include code examples using Python, JavaScript, or SQL.
Contribute to a Data Science Project
Enhance your skills by contributing to an open-source data science project.
Show steps
  • Find an open-source data science project on GitHub.
  • Identify a bug or feature to work on.
  • Contribute code, documentation, or tests.
  • Submit a pull request with your changes.

Career center

Learners who complete Learn Python + JavaScript + Microsoft SQL for Data science will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Learn Python + JavaScript + Microsoft SQL for Data science.
Cover image
SQL for Data Analysis
Save
Provides a comprehensive guide to using SQL for data analysis. It covers advanced techniques for querying, manipulating, and transforming data. It is particularly useful for understanding how to extract meaningful insights from databases using SQL, which core skill taught in this course. This book can be used as a reference tool.
SQL for Data Analysis: Advanced Techniques for...
Paperback
$$
SQL for Data Analysis
Kindle Edition
$$

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Effort
22.5 total hours
Via
Udemy
Instructor
Metla Sudha Sekhar
Language
English
Good to know
Covers Python, JavaScript, and Microsoft SQL, which are essential technologies for full-stack web development and data-driven applications
Includes hands-on projects that integrate Python, JavaScript, and Microsoft SQL, providing practical experience in solving real-world data science problems
Explores JavaScript for building interactive data visualizations, which enhances data analysis and presentation skills for web-based applications
Teaches Microsoft SQL Server, covering database querying, management using T-SQL, and optimization, which are critical for data extraction and processing
Introduces Generative AI, which is a forward-looking topic that may be useful for learners interested in the future of data science and AI
Includes coding exercises to test learning skills, which helps reinforce concepts and provides opportunities for self-assessment
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