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Applied SQL Data Analytics

  • Course Code: Artificial Intelligence - Applied SQL Data Analytics
  • Course Dates: Contact us to schedule.
  • Course Category: AI / Machine Learning Duration: 2 Days Audience: This course is geared for those who wants to Cut through the noise and get real results with a step-by-step approach to learning about SQL data analysis

Course Snapshot 

  • Duration: 2 days 
  • Skill-level: Foundation-level Applied SQL Data Analytics skills for Intermediate skilled team members. This is not a basic class. 
  • Targeted Audience: This course is geared for those who wants to Cut through the noise and get real results with a step-by-step approach to learning about SQL data analysis 
  • Hands-on Learning: This course is approximately 50% hands-on lab to 50% lecture ratio, combining engaging lecture, demos, group activities and discussions with machine-based student labs and exercises. Student machines are required. 
  • Delivery Format: This course is available for onsite private classroom presentation, or remote instructor led delivery, or CBT/WBT (by request). 
  • Customizable: This course may be tailored to target your specific training skills objectives, tools of choice and learning goals. 

You already know that you want to learn data analysis with SQL, and a smarter way to learn is to learn by doing. The Applied SQL Data Analytics Workshop focuses on building up your practical skills so that you can navigate and compose custom reports like an expert data analyst. You’ll learn from real examples that lead to real results. Throughout The Applied SQL Data Analytics Workshop, you’ll take an engaging step-by-step approach to understand data analytics with SQL. You won’t have to sit through any unnecessary theory. You can jump into a single exercise each day if you’re short on time, or you can spend an entire weekend tinkering with SQLAlchemy and Python. It’s your choice. Learning on your terms, you’ll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Applied SQL Data Analytics Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you’ll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You’ll even earn a secure credential that you can share and verify online upon completion. It’s a premium learning experience that’s included with your printed copy. To redeem, follow the instructions located at the start of your course. Fast-paced and direct, The Applied SQL Data Analytics Workshop is the ideal companion for SQL beginners. You’ll perform SQL queries like a professional data scientist, learning along the way. This process means that you’ll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.. 

Working in a hands-on learning environment, led by Applied SQL Data Analytics instructor, students will learn about and explore: 

  • Ideal for SQL beginners who are getting started with data analytics for the first time 
  • A step-by-step SQL tutorial with exercises and activities that help build key skills 
  • Structured to let you progress at your own pace, on your own terms 
  • Use your physical print copy to redeem free access to the online interactive edition 

Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below 

  • Experiment with data analytics using basic and advanced queries 
  • Learn data interpretation through descriptive statistics and aggregate functions 
  • Export data from outside sources using powerful SQL queries 
  • Discover how to work with and manipulate data using SQL joins and constraints 
  • Speed up your data analysis workflow by automating tasks and optimizing queries 
  • Discover different advanced analytics techniques, including geospatial and text analysis 

Audience & Pre-Requisites 

This course is for readers want to Cut through the noise and get real results with a step-by-step approach to learning about SQL data analysis 

Pre-Requisites:  Students should have  

  • Basic to Intermediate IT Skills. 
  • Good foundational mathematics or logic skills 
  • For readers with existing programming skills. 

Course Agenda / Topics 

  1.  
  1. Introduction to SQL for Analytics 
  • Introduction 
  • The World of Data 
  • Methods of Descriptive Statistics 
  • Statistical Significance Testing 
  • Relational Databases and SQL 
  • Basic Data Types of SQL 
  • Reading Tables: The SELECT Query 
  • Creating Tables 
  • Updating Tables 
  • Deleting Data and Tables 
  • SQL and Analytics 
  1. SQL for Data Preparation 
  • Introduction 
  • Assembling Data 
  • Transforming Data 
  1. Aggregate and Window Functions 
  • Introduction 
  • Aggregate Functions 
  • Aggregate Functions with GROUP BY 
  • The HAVING Clause 
  • Using Aggregates to Clean Data and Examine Data Quality 
  • Window Function 
  • Statistics with Window Functions 
  1. Importing and Exporting Data 
  • Introduction 
  • The COPY Command 
  • Using R with Our Database 
  • Using Python with Our Database 
  • Best Practices for Importing and Exporting Data 
  1. Analytics Using Complex Data Types 
  • Introduction 
  • Date and Time Data Types for Analysis 
  • Performing Geospatial Analysis in PostgreSQL 
  • Using Array Data Types in PostgreSQL 
  • Using JSON Data Types in PostgreSQL 
  • Text Analytics Using PostgreSQL 
  1. Performant SQL 
  • Introduction 
  • Database Scanning Methods 
  • Performant Joins 
  • Functions and Triggers 
  1. The Scientific Method and Applied Problem Solving 
  • Introduction 
  • Case Study 
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