Data Analysis: Investigate with SQL

Data Analysis: Investigate with SQL

53mBeginner2023-04-25

Authors

Walter Shields

Walter Shields

Tech Educator and Best-Selling Author

Course details

Are you looking to enhance your skills in data analysis and become a valuable asset in today's data-driven business world? Learning SQL, the widely used language for managing relational databases, can be a game changer for you.

In this course, you will learn the fundamental skills needed to navigate and analyze data effectively. Discover the basic structure of relational databases, how they work, and their importance to businesses. You'll also explore the top SQL queries, including the WHERE clause and operators such as IN, BETWEEN, AND, and OR, and how and when to use them for efficient data analysis. By the end of the course, you'll have the knowledge and skills to access, warehouse, and analyze data efficiently. You'll be able to make better decisions and gain valuable insights into the data that matters most. Don't miss out on the chance to enhance your skills and become a valuable asset in today's data-driven world.

Skills covered

SQLDatabase AdministrationDatabase DevelopmentDatabase ManagementData AnalysisProgramming LanguagesData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOpen SourceSoftware DevelopmentOne-Off

Concepts

Introduction

  • Why learn SQL today
  • What you should know
  • Solving a crime with SQL

Starting the Investigation with SQL Query

  • Data analysis - First steps
  • SQL core concepts - Data types, tables, columns, and records
  • First query - Comments, aliases, and sorting

Filter Data for Refined Results

  • Adding criteria to SQL queries
  • Second query - WHERE clause, operators, date, and texts
  • Query composition - More operators for refining results
  • Third query - Operators and context understanding

Performing Manual Data Analysis

  • Logical deduction by observing results
  • Crime-solving SQL analysis recap

Exploring Related Table Data

  • Examining the evidence in related tables
  • Fourth query breakdown - BETWEEN operator and date ranges
  • Finding supporting evidence to align objectives
  • Fifth query breakdown - Using the IN and AND operators

Conclusive Analysis for Data-Driven Action

  • Solving the case with data-driven insights

Conclusion

  • Continue enhancing your SQL data-driven skills
40,000 Toman