
Meet Arthur, the instructor sharing his journey from information technology to analytics, guiding beginners with practical, step-by-step tutorials and graphical introductions that simplify terms as you build applications from scratch.
Explore PostgreSQL fundamentals from installation and setup to creating tables, importing data, adding and removing columns, and mastering select statements with operators, ordering, and count distinct.
Explore what PostgreSQL is as a database system, learn how to store transactional data in tables, and use analytics and reporting tools to create dashboards and forecast revenue.
Encourage students to share thoughtful comments and positive ratings to help others enroll, while the instructor expresses gratitude, hopes the course meets expectations, and wishes you luck.
Install PostgreSQL by downloading the appropriate OS installer, run as administrator, set the superuser password, configure install path, locale, and server listen, then connect using the PostgreSQL user interface.
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Create tables in PostgreSQL using the UI and SQL, define columns with data types, and verify the table appears by refreshing the navigation pane.
Create and modify a sales table in PostgreSQL using drop and alter commands. Define columns like region, country, item, and totals with appropriate data types.
Use the PostgreSQL copy command to import csv records from csv file into sales table, with comma delimiter and double quotes for spaced column names, ensuring a successful import.
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Learn how to display table records with the select statement, limit results, respect column name capitalization, and select all columns from a table.
Filter text, numeric, and date columns using where statements in PostgreSQL to refine reports by Europe. Filter by unit_cost greater than 100 and extract the year 2015 from dates.
Learn dynamic filtering with where clauses in PostgreSQL, using max value and last year, combine conditions with and/or, and apply brackets for nested Europe-region queries.
Learn how to use wildcards with the like operator to filter records in PostgreSQL, matching strings with spaces and explaining why wildcards don’t apply to numeric fields.
Learn how to sort records in PostgreSQL using the order by clause to arrange data alphabetically by country, in descending order, and by numeric units.
Learn how to sum records in PostgreSQL, group totals by country, and sort results by total revenue in descending order, with region filters.
Learn how to use the distinct keyword to return unique records, counting and displaying distinct regions from the sales table.
Master essential PostgreSQL operations by recalling how to create, modify, and drop tables, and perform selects, aggregates, and filters. Then learn to extract, transform, and visualize data for business intelligence.
Today, we are all surrounded with full of data.
Data can be in the form of structured data(eg: Tables, worksheets), or unstructured data (free text fields or comments from social media).
Data can be also in the form of a bi-product that is produced during day-to-day transactions.
For example, when we are buying something from supermarkets, we are being issued a resit upon payment. The resit is a bi-product as our intention is not to collect the resit but to retrieve all the goods that we purchased from the supermarket. If we take a look at the resit, it has sufficient data as evidence that we bought the specific product from the supermarket. It has all the required data to perform a return when the product bought has defects. It has the date purchased, the location of the store, and the list of products, unit cost, and quantities that have been purchased.
The question is, where did all the data has been stored into? How did the company keep track of its revenue, and also increase the number of customers visiting their store?
In this course, we are going to learn how to download and install PostgreSQL, a database to store data, and to be retrieved by other systems for their designated purpose.
Data is the core of an AI model, which utilizes data input for the model to train, test, and learn from the data.
The usage of Machine Learning has allowed computers to perform predictions and provides suggestions to humans based on the data input that has been fed into the machine.
An example of Machine Learning is the Web Search Engine, which tries to understand what is the content we are searching for based on the data input that has been entered into the Search Engine.
Data can also be fed into BI systems to translate the data into useful insights to make the correct decision on a certain matter.
Hence, data is very important where database admins are hired to ensure data hygiene is taken good care of.
Join now to know more about PostgreSQL as a service for data warehousing.
The Objective of the course:
To provide a very understanding of the basic functionality of PostgreSQL.
Learning Outcomes:
1. How to install and configure PostgreSQL.
2. How to create and modify tables in PostgreSQL.
3. How to perform basic SQL commands in PostgreSQL.
#PostgreSQL Tutorials, #SQL query, #PosgreSQL basic commands, #Database System