Combining and Filtering Data with PostgreSQL

Course Overview

This course, Combining and Filtering Data with PostgreSQL, provides learners with the skills and knowledge necessary to begin writing more complex queries to analyze data from multiple sources. Learners will learn the fundamentals of data types and how to work with string functions, aggregate functions and how to filter aggregate results, and how to use joins to retrieve data from multiple tables. Set theory and unions will also be used to combine multiple result sets. Subqueries and common table expressions are introduced to help conduct more sophisticated analyses using multiple filter criteria. Finally, learners will figure out window functions and how to partition and analyze data.

[Applications]
Upon completion of this course, learners will be able to apply their knowledge of PostgreSQL to combine and filter data from multiple sources. They will be able to use SQL to join data from multiple tables, combine result sets, and use aggregate and window functions. Learners will also be able to use set theory and unions to combine multiple result sets, as well as use subqueries and common table expressions to conduct more sophisticated analyses using multiple filter criteria.

[Career Paths]
1. Database Administrator: Database Administrators are responsible for the installation, configuration, and maintenance of databases. They are also responsible for ensuring the security and performance of the database. As the demand for data-driven insights increases, the need for Database Administrators is expected to grow.

2. Data Analyst: Data Analysts are responsible for analyzing data to identify trends and patterns. They use their findings to make recommendations to improve business processes and operations. As the demand for data-driven insights increases, the need for Data Analysts is expected to grow.

3. Data Scientist: Data Scientists are responsible for analyzing large amounts of data to identify patterns and trends. They use their findings to develop predictive models and algorithms to improve business processes and operations. As the demand for data-driven insights increases, the need for Data Scientists is expected to grow.

4. Business Intelligence Developer: Business Intelligence Developers are responsible for developing and maintaining business intelligence systems. They use their knowledge of data analysis and data visualization to create dashboards and reports that provide insights into business operations. As the demand for data-driven insights increases, the need for Business Intelligence Developers is expected to grow.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science principles and technologies. Students learn how to design, develop, and maintain software applications, as well as how to use databases and other data management tools. PostgreSQL is a popular database technology, and students in this program will learn how to use it to create and manage databases. As data analysis becomes increasingly important in the modern world, this degree program is becoming more popular and in-demand.

2. Master of Science in Data Science: This degree program focuses on the analysis of large datasets and the development of data-driven solutions. Students learn how to use various data analysis tools, such as PostgreSQL, to extract insights from data. They also learn how to use machine learning algorithms to create predictive models. This degree program is becoming increasingly popular as businesses and organizations look for ways to leverage data to make better decisions.

3. Master of Science in Business Analytics: This degree program focuses on the application of data analysis techniques to business problems. Students learn how to use data to make informed decisions and develop strategies. PostgreSQL is a popular tool for data analysis, and students in this program will learn how to use it to analyze data and develop insights. As businesses become more data-driven, this degree program is becoming increasingly popular.

4. Doctor of Philosophy in Data Science: This degree program focuses on the development of advanced data analysis techniques and technologies. Students learn how to use PostgreSQL and other data analysis tools to develop new methods for analyzing data. They also learn how to use machine learning algorithms to create predictive models. This degree program is becoming increasingly popular as businesses and organizations look for ways to leverage data to make better decisions.