NLSQL and AI: Transforming Everyday Language into Powerful SQL Queries
What you will learn
Gain a comprehensive understanding of NLSQL, from its fundamentals to advanced concepts.
Empowering you to seamlessly convert everyday language into powerful SQL queries.
Learn to set up databases for NLSQL, optimizing data in Google Sheets, and establishing a foundation for smooth and intuitive interactions with your data.
Explore the synergy between NLSQL and Artificial Intelligence (AI), enhancing your ability to intelligently query databases for insightful data analysis.
Description
Unlock the power of Natural Language SQL (NLSQL) and revolutionize the way you interact with databases. Welcome to “Mastering NLSQL,” an in-depth Udemy course designed to make complex database queries accessible through natural language. Whether you’re a beginner or an experienced SQL user, this course equips you with the skills to effortlessly navigate and query databases using intuitive language.
What You’ll Learn:
- Introduction to NLSQL:
- Prepare your database schema for NLSQL
- Setting up joins and arguments at NLSQL portal
- Setting up an application at the Azure portal
- Playing with NLSQL using the Microsoft teams chat bot
- Setting up top/bottom and complex arguments
- Setting up filters, dates, and map columns
- Playing with NLSQL graphs
- Advance Settings
Who is this course for?
- Data analysts and scientists
- Business intelligence professionals
- SQL users looking to enhance their skills
- Entrepreneurs and business owners seeking streamlined data access
Why Take This Course?
- Practical Skills: Acquire hands-on experience with real-world NLSQL applications and projects.
- Efficiency: Simplify complex queries and enhance your data analysis workflow.
- Career Advancement: Stand out in the competitive field of data analytics by mastering NLSQL.
- Flexibility: Access the course anytime, anywhere, and at your own pace.
Enroll now and embark on a journey to master NLSQL, unlocking the full potential of your database querying capabilities.
English
language
Content
Introduction
Introduction
Introduction to NLSQL
How NLSQL Works
Why NLSQL?
How to connect with NLSQL Team?
Prepare your Database Schema for NLSQL
Starting with NLSQL
Setting up MySQL Sample Database AWS RDS
Understand the Database
Setting up View to Avoid complexiteis
Extracting Table Schema to CSV format Sheets
Setting up Google Spreadsheet for Each Table
Formatting Columns in Google Sheets
Setting Up Joins and Arguments at NLSQL
Setting up NLSQL Account
Setting up Table Configuration at NLSQL Portal
Setting Up Joins for Tables
Setting UP KPIs by Configuring Arguments
Setting Up Application on Azure Portal
Setting up NLSQL App on Azure Step by Step AWS
Overview of NLSQL Resource Group
Playing with Integrate WebChat
Setting up NLSQL Channel Chat with Microsoft Teams
Playing with NLSQL using Microsoft Teams Chatbot
Finding Orders Data by Table Column Name
Finding Sales Data by Table Column Name
Finding Sale Qty Data by Table Column Name
Finding All the KPIS in one Prompt
How to Deal with Same Text accross multiple Tables?
How to Deal with Same Column Name accross multiple tables
How to Add and Play with Text Based Content as KPI
Make your life easier by using synonyms
Setting up Top/Bottom & Complex Arguments
Setting up and playing with Top and Bottom Argument
Generating the Complex Arugement for Avg Receipt
Playing with Avg Receipt Complex Argument with Other KPIs
Updating the older dates to current years for better experience
Generating the Complex Arugement for Growth By Year
Generating the Complex Arugement for Growth By Quarter
Setting up Filters, Dates, and Columns for Map
Getting Rid from Dirty Data with the help of Filters
Configure Date Columns & Playing with data with the help of Date arguments
Configure Country Column for Map
Playing with NLSQL Graphs
Welcome to Data Visualization
Visulize Data in Pie Chart
Visulize Data in Bar Chart
Visulize Data in Line Chart
05-Visulize Data in Scatter Chart
Visulize Data in Map Chart
Advance
Analytics Page- Keep an eye on your system
After Depoyment to Production Phase