SQL Masterclass: SQL for Data Analytics

Join the SQL Masterclass course and unlock the power of data analytics. Whether you're a developer, business manager, or marketing researcher, this course is designed to teach you SQL from the ground up. Learn to manage and analyze data efficiently using PostgreSQL, covering fundamental commands, filtering, sorting, grouping, and advanced topics like joins views, and indexes. Explore various functions, best practices, and performance-tuning techniques. Perfect for fresh graduates seeking analyst or programmer roles and professionals looking to enhance their skill set. No prerequisites are required—just your dedication to practical exercises and learning!

Discover how to set up PostgreSQL and PG Admin to unleash the power of SQL in this comprehensive video tutorial. Learn the step-by-step process to download and install PostgreSQL and PG Admin on your system. Whether you're a beginner or experienced, this tutorial covers everything from choosing the right package to configuring settings. Get ready to write and run SQL queries with ease using the graphical interface of PG Admin. Solve common errors and ensure a smooth SQL experience. Join now and take your data management skills to new heights!

Dive into the role of a data analyst and join the journey of addressing critical business challenges in this enlightening video. As the business insights head for E-Cart Company, explore how to provide valuable data-driven insights for marketing channel selection, optimizing warehouse inventory, and maximizing revenue while minimizing discount losses. Interact with various teams and gain the skills to tackle their queries through SQL queries. Uncover the solutions to these real-world problems and enhance your data analysis expertise. Get ready to make informed business decisions with the power of data!

Dive into the world of data analysis as you explore essential database structures and tackle real-world business problems. Learn about the customers, products, and sales tables and how they hold valuable information for decision-making. Discover how to determine customer demographics across regions, identify top-selling and underperforming products, and analyze revenue loss due to discounts. With simple yet powerful SQL queries, gain the skills to extract meaningful insights and make informed business decisions. Prepare to unlock the potential of data analysis in this comprehensive course.

Dive into the world of PostgreSQL and learn the fundamentals of creating and managing databases. Follow the step-by-step process of creating a test database and adding tables for customers, products, and transactions. Discover the syntax and importance of column constraints, including primary and foreign keys. Explore best practices for designing efficient tables and executing SQL queries. Gain the skills to navigate PG Admin and unleash the power of PostgreSQL for effective data management.

You have completed 6 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

You have completed 7 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

Discover the essential process of adding data to PostgreSQL tables. Explore the "insert into" command syntax and learn how to add single or multiple rows to a table. Understand the significance of specifying column names to avoid errors when missing values occur. Get hands-on experience with PG Admin as you execute SQL queries to insert records. Uncover additional methods, including importing data from text or CSV files using the "copy" command. Streamline your data management skills in PostgreSQL for seamless database operations.

Learn the process of importing data into PostgreSQL tables from external files. Explore the powerful "copy" command and its syntax, including specifying columns, file location, delimiter, and file type (CSV or text). Understand the nuances of handling headers and file formats. Discover how to download and organize the required files for importing data. Get hands-on experience by executing copy commands to add records from CSV and text files to tables. Enhance your PostgreSQL data management skills and prepare for retrieving data in the upcoming lecture.

You have completed 10 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

Unlock the power of the SELECT command in PostgreSQL as we delve into retrieving data from tables. Learn how to craft precise queries to fetch specific columns or utilize wildcards for comprehensive results. Explore examples of retrieving single and multiple columns, as well as leveraging the aesthetics wildcard to retrieve all columns. Gain the skills to effortlessly retrieve data from your PostgreSQL tables and prepare for the next level of data manipulation. Stay tuned to discover how to retrieve unique data and eliminate duplicate entries in our upcoming lecture.

Dive into the world of data retrieval as we explore how to eliminate duplicate values and retrieve only unique records from a table using the DISTINCT keyword in PostgreSQL. Learn the syntax and witness practical examples of retrieving single and multiple columns with distinct values. Discover how DISTINCT can help filter out duplicate rows and unveil the true essence of your data. Get ready to enhance your data retrieval skills in the upcoming lecture, where we'll delve into the powerful WHERE command for data filtering.

In this video, we explore how to retrieve specific data that meets certain conditions using the WHERE clause. The WHERE clause enables us to set conditions based on column values, allowing us to extract data precisely. We examined examples of filtering data based on numeric and text-based conditions. PostgreSQL allows flexibility in selecting different columns and applying conditions on others. In the next video, we'll advance our skills by using the AND and OR operators to apply multiple conditions simultaneously.

In the previous tutorial, we explored how to apply a single condition to retrieve data. Now, let's take it a step further and learn how to retrieve data that satisfies multiple conditions using the AND and OR operators. The AND operator is used when all conditions must be satisfied, while the OR operator allows retrieving data if any of the conditions are met. Additionally, we'll discover the NOT operator, which negates a condition. By combining these logical operators, we can fine-tune our data retrieval queries.

You have completed 15 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

In this video, we dive into the essential skill of updating records in a table using the Update query in SQL. We explore the syntax of the Update query, which involves specifying the table name, using the "Set" keyword to update column values, and applying the "Where" condition to target specific records. Through practical examples, we learn how to update individual columns or multiple columns simultaneously based on unique conditions. Join us as we unlock the ability to efficiently modify data in our database tables

In this tutorial, we explore the crucial skill of deleting rows from a table in SQL. We delve into the Delete query's syntax, demonstrating how to remove single or multiple rows based on specific conditions using the "Where" clause. Through practical examples, we learn how to efficiently delete individual records and multiple rows meeting specific criteria. Furthermore, we uncover the method to erase all data from a table with a single command. Join us as we gain mastery over the art of data deletion and prepare for the next topic of table structure modification.

In the last video, we explored the art of deleting rows from a table. Now, it's time to dive into the fascinating world of table structure modification. Learn how to add, delete, modify, and rename columns, as well as apply constraints such as not null and check. Discover the power of the alter table command as we navigate through practical examples. Unlock the ability to reshape your SQL database and prepare for the next stage of mastering data querying.

You have completed 19 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

In this video, we learn how to restore a Supermart database from a backup file. The tutorial guides viewers through the process of creating a new database, restoring tables from the provided TAR file, and examining the three tables: "customer," "product," and "sales." By understanding the structure and relationships between these tables, viewers are now ready to practice SQL querying on this Supermart database.

In this video, we address the challenges students face while restoring a database. Two main issues are highlighted. First, attempting to restore a database within an existing one causes problems. Second, compatibility issues arise when using newer versions of PostgreSQL to restore files created in older versions. The tutorial demonstrates solutions for specific error messages, including locating missing files, using the correct tar files, and trying alternative formats like .backup or . SQL files. Additionally, manual table creation and CSV data loading are suggested as reliable alternatives for successful database restoration.

In this video, we explore the final option for database restoration. We guide viewers through the process of creating the Supermart database, focusing on individual table creation and utilizing CSV files to load data into each table. The video demonstrates the step-by-step procedure, including the SQL queries to create tables for customers, products, and sales. It also highlights the importance of specifying primary keys for editable tables. Viewers will gain valuable insights into creating tables and importing data from CSV files as a reliable restoration method.

If you are facing any difficulty in restoring tar file, you can download the raw CSV files and use copy command to create required tables. CSV files are attached in the resources section of this lecture.

You have completed 21 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

In this video, we dive into the functionality of the 'IN' condition. Building upon our previous discussions on select and where statements, we focus on utilizing the 'IN' condition as an alternative to multiple 'OR' statements. By providing examples and explaining the syntax, viewers will understand how the 'IN' condition simplifies querying when dealing with multiple values. We demonstrate its application in retrieving customer data based on cities like Philadelphia and Seattle. This video serves as a valuable resource for mastering querying techniques.

In this video, we explore the 'BETWEEN' condition, a powerful tool for retrieving values within a specified range. Building on our previous lesson on the 'IN' statement, we demonstrate how to construct queries using the 'BETWEEN' condition. Using examples such as age ranges and date intervals, we showcase the syntax and versatility of the 'BETWEEN' statement. Additionally, we explore the use of the 'NOT BETWEEN' statement for excluding values within a range. This informative tutorial empowers viewers to leverage the 'BETWEEN' condition effectively in their database queries.

In this enlightening video, we dive into the versatile 'like' condition and its role in performing pattern matching within strings using powerful wildcards. With a clear syntax and examples, we demonstrate how to construct queries to find data that starts, ends, or contains specific patterns of characters. From filtering customer names to identifying distinct cities and utilizing escape characters, we explore the various applications of the 'like' condition. Stay tuned for the next chapter where we learn how to order the retrieved data set effectively.

You have completed 25 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

In this informative lecture, we explore the art of sorting query results and enhancing code readability through the effective use of comments. We learn how to add both multiline and single-line comments in SQL queries, allowing us to provide context, explanations, and annotations within our code. By incorporating comments, we ensure the clarity and maintainability of our queries. Join us on this journey to optimize your SQL skills and streamline your code.

In this video, we explore the ORDER BY command in SQL, highlighting its importance in sorting query results. It explains how to use ORDER BY to sort data based on specific columns, both in ascending and descending order. The video also demonstrates sorting by multiple columns and using column numbers instead of names. Additionally, it showcases sorting textual and numerical data, giving insights into arranging alphabetically or numerically.

In this video, we explore how to optimize data retrieval by limiting the number of rows in the result set using the "limit" statement in SQL. Learn the importance of limiting results when dealing with large datasets to improve query performance. Explore examples of using the "limit" statement to retrieve the top-aged customers based on specific conditions and orders. Gain insights into how this statement can be utilized to extract a specific number of records efficiently. In the next lecture, learn how to assign aliases to column names for improved readability.

You have completed 29 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

Discover the power of aliases in SQL queries to create more meaningful and readable column and table names. Learn how to use the "AS" keyword to assign aliases to columns, making complex functions and operators clearer in the retrieved data. The tutorial demonstrates how aliases are useful when sharing data with external agencies, providing more relevant column headers. Additionally, get a glimpse of how aliases will be revisited in later lessons while discussing joins. Next, explore essential aggregate functions like sum, count, and average in upcoming lectures.

Dive into the world of aggregate functions in SQL, exploring count, sum, and average functions for efficient data analysis. Learn how the count function can be used to determine the number of records or occurrences in a column, including filtering options. Discover how to apply the count function with aliases for more meaningful column names. Gain insights into using the count function for distinct values to avoid duplication. Stay tuned to explore sum and average functions for calculating total values and averages in upcoming lessons.

Gain a deep understanding of the sum function in SQL and its role in calculating total values. Discover how the sum function can be utilized to determine the total profit earned or the sum of a specific column, such as quantity. Learn how to provide aliases to enhance column names for better readability. Dive into examples showcasing the sum function with and without conditions. Stay tuned to uncover the power of the average function in the upcoming lessons.

In this video, we explore the average function in SQL and its significance in determining the mean or average value of a given column. Understand the syntax and usage of the AVG function to obtain average values from a specific table. Discover practical examples, such as calculating the average customer age or average commission per order, to grasp the power of the average function in SQL. Stay tuned to explore the capabilities of the min and max functions in the upcoming lessons.

In this lecture, Uncover the power of the min and max functions in SQL as we explore how to extract the minimum and maximum values from a specific column. Gain insights into the syntax and usage of these functions, allowing you to identify the minimum and maximum values efficiently. Follow along with practical examples, such as finding the minimum and maximum sales values in a given month. Stay tuned for the next lecture, where we dive into the group by function for advanced data grouping.

You have completed 35 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

Explore the power of the group by clause in SQL and learn how to leverage it in conjunction with aggregate functions. Discover how to group data by specific columns, such as region or product ID, and perform calculations like counting customers or summing quantities. Dive into practical examples, including finding the top spenders, analyzing customer profiles, and examining sales statistics. Gain insights into the importance of unique column selection and the possibility of using multiple columns in group by statements. Stay tuned for the next lecture on the "having" keyword.

Discover how to refine your queries by applying conditions to aggregate functions using the having clause in SQL. Learn how to filter groups of returned rows based on specific criteria, such as counting customers in each region with more than 200 entries. Understand the distinction between the where clause and the having clause, and explore examples of combining conditions on aggregate and non-aggregate columns. Master the art of leveraging the having clause to extract precise and insightful information from your data.

You have completed 38 of 93 lectures of SQL course - SQL Masterclass for Data Analytics using PostgreSQL. Once you complete this SQL training course on data analytics using PostgreSQL. In this SQL training, you will be able to

· Answer specific business questions by using SQL’s aggregate functions

· Handle complex SQL joins with ease

· Use SQL case statements, SQL pattern matching, advanced SQL queries

· Become an expert in SQL

· Become a proficient PostgreSQL user

We recommend you to do all SQL exercises which are spread through this course SQL certification course - SQL Masterclass for Data Analytics using PostgreSQL.

Complete this SQL crash course to get SQL course certificate.

Explore the power of case expressions in SQL to assign categories and implement conditional logic in your queries. Learn how to create multiple conditions and corresponding results using the case statement, similar to if-else statements in programming languages. Follow a practical example where customer data is categorized into "young," "middle-aged," and "senior citizen" based on age ranges. Gain insights into using aliases and retrieving categorized data from the case expression. Enhance your SQL skills with this valuable technique.