Intermediate PostgreSQL

Learners: 95

Instructor: Charles Russell Severance

Duration:

This course provides an in-depth exploration of PostgreSQL, from basic CRUD operations to more advanced techniques such as aggregation, transactions, CSV file parsing, and text data indexing. It is designed to help intermediate users gain a better understanding of the database. ▼▲

Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Free

Provider:

Coursera

Certificate:

Paid Certification

Language:

English

Start Date:

29th May, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This Intermediate PostgreSQL course provides students with an in-depth look at the SQL techniques used in PostgreSQL. Students will learn how to perform CRUD (Create, Read, Update, and Delete) operations, as well as more advanced techniques such as aggregation, transactions, reading and parsing CSV files, and inserting data into a database. Additionally, students will explore how PostgreSQL handles and indexes text data, and will practice altering table schemas, creating stored procedures, constructing advanced queries, sorting and grouping query data, and working with text in databases using regular expressions.

[Applications]
After completing this course, students should be able to apply their knowledge of PostgreSQL to create and manage databases, write complex queries, and use advanced techniques to manipulate data. They should also be able to use PostgreSQL to store and query text data, as well as create stored procedures and triggers. Additionally, students should be able to read and parse CSV files and insert data into a database.

[Career Paths]
1. Database Administrator: Database Administrators (DBAs) are responsible for the design, implementation, maintenance, and security of an organization’s databases. With the knowledge gained from this course, DBAs can use PostgreSQL to create and maintain databases, as well as optimize performance and ensure data integrity.

2. Data Analyst: Data Analysts use data to identify trends and patterns, and to make predictions and recommendations. With the knowledge gained from this course, Data Analysts can use PostgreSQL to query and analyze data, as well as create reports and visualizations.

3. Data Scientist: Data Scientists use data to develop models and algorithms to solve complex problems. With the knowledge gained from this course, Data Scientists can use PostgreSQL to create and manage databases, as well as develop and optimize models.

4. Software Developer: Software Developers use programming languages to create software applications. With the knowledge gained from this course, Software Developers can use PostgreSQL to create and manage databases, as well as develop and optimize software applications.

The demand for these positions is growing rapidly as organizations increasingly rely on data-driven decision making. As such, these positions are expected to continue to be in high demand in the coming years.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and database management. Students will learn the fundamentals of PostgreSQL, including how to create and manage databases, write and execute queries, and optimize performance. Additionally, students will gain an understanding of the latest trends in database management, such as cloud computing and big data.

2. Master of Science in Data Science: This degree path provides students with a comprehensive understanding of data science fundamentals, including data mining, machine learning, and database management. Students will learn the fundamentals of PostgreSQL, including how to create and manage databases, write and execute queries, and optimize performance. Additionally, students will gain an understanding of the latest trends in data science, such as artificial intelligence and natural language processing.

3. Master of Science in Information Systems: This degree path provides students with a comprehensive understanding of information systems fundamentals, including systems analysis, database design, and database management. Students will learn the fundamentals of PostgreSQL, including how to create and manage databases, write and execute queries, and optimize performance. Additionally, students will gain an understanding of the latest trends in information systems, such as cloud computing and distributed systems.

4. Master of Science in Business Analytics: This degree path provides students with a comprehensive understanding of business analytics fundamentals, including data mining, predictive analytics, and database management. Students will learn the fundamentals of PostgreSQL, including how to create and manage databases, write and execute queries, and optimize performance. Additionally, students will gain an understanding of the latest trends in business analytics, such as artificial intelligence and machine learning.