BECOME SQL CHAMPION

Learn built-in SQL Server date and datetime functions, including getdate and current_timestamp, and use datepart and date name to extract year, month, and day.

Explore sql string functions in depth, mastering substring, charindex, left, right, trim, replicate, replace, and stuff, plus xml path techniques for aggregating rows.

Learn sql mathematical and conversion functions, including absolute, power, sqrt, round, ceiling, floor, cast, convert, and parse, with practical examples of data type conversion and formatting.

Explore how SQL handles nulls with concat, isnull, coalesce, and nullif, and use aggregate functions (sum, max, min, average, count) including distinct and count of star for meaningful insights.

Explore windows aggregate functions in SQL to compute running totals and percentages of total, using the over clause with partition by, order by, and frame options for row-wise reporting.

Explore SQL set operators—union, union all, intersect, and minus (except)—with examples, and master derived tables (inline views) in the from clause for ranking and data merging.

Explore subqueries and nested, correlated subqueries, including exists and not exists, inner and outer queries, derived tables, self-contained vs correlated, and scalar vs multi-valued cases in where and having clauses.

Explore sql views, stored select statements that derive data from base tables and act as virtual tables. Learn simple, updatable, and complex views, with check option, encryption, and schema binding.

Learn inline table valued functions as parameterized views in SQL Server, including creation, calling, and default parameters; explore synonyms and sequences, including cycle and next value usage.

Learn how to declare, initialize, and use T-SQL variables in SQL queries, understand batch basics, set vs. select assignment, and cast data types for reliable results.

Explore table variables and temp tables, their creation, scope, and data manipulation, then cover user defined functions—scalar and table valued—their use, invocation, and how they differ from stored procedures.

Explore dynamic sql and its runtime execution, building queries from runtime table and column names, using execute or sp execute procedures to run dynamic selects and drops.

Pivot the emails table into a row per user with personal, business, and recovery emails using case when and aggregate; group by user, compute snaps by age group with joins.

Learn to write a SQL query that computes total viewership for laptop viewership and for mobile devices (tablet plus phone) and returns two columns: laptop use and mobile use.

Learn to identify the top three most profitable drugs by profit = total sales minus cost of goods sold, using three SQL approaches: order by, rank, and derived table.

Master sql queries used in product-based companies, filtering candidates by Python, Tableau, and PostgreSQL, and using cte and window functions to analyze first transactions over $50.

Learn to output each employee id and whether they hit the quota by summing deal sizes per employee, joining deals with quotas on employee_id, and ordering results by id.

Learn interview-ready sql queries used in faang and mncs, including self joins to compare salaries, duplicate removal with group by and having, and window functions like dense_rank and cte-based techniques.

Explore real-world sql interview problems from faang and mncs, learning to identify returning active users within seven days with different items and compute activation rates across tables.

Master key sql queries asked in faang and mncs, including calculating losses and top profitable drugs by manufacturer. Learn multi-table joins and ranking techniques for sales and power creator analysis.

Master faang-style sql queries: transform a single email column into personal, business, and recovery columns using case expressions; compute year-over-year revenue with lag; analyze shopping spree users and in-the-moment uber delays.

Master sql queries used in faang and mncs. Report yesterday's posts by region, identify buyers of A and B but not C, and use lead for consecutive logins.

Become sql champion demonstrates running totals with sum over partition by, ranking highest grades per student, and filtering faang and mncs queries for invalid tweets, recyclable products, and high bills.

Explore sql queries from faang and mncs, including 2020 logins. Identify first login dates for players, and compute warehouse volumes from product dimensions; identify customers with the most orders.

This lecture demonstrates finding sellers who had no 2020 sales by left joining the seller and orders tables and checking 2020 sales by seller IDs.

Identify salespeople who have no orders with the company named red by left joining salesperson, orders, and company, then exclude red-linked records with the except clause.

Learn to compute team sizes by counting team IDs with group by and join the employee table, and identify students in non-existent departments using a left join.

Learn to find department wise highest salaries and per-day max transactions using joins, group by, and rank in SQL, as used in FAANG and MNC interviews.

Join the customers, orders, and products tables to identify each product's most recent order, use rank, and sort by product name ascending, product id ascending, and order id ascending.

Identify each player's first event date by partitioning by player_id and ordering event_date ascending, and return the corresponding device_id using rank or row_number.

Master phase two of become SQL champion by solving 50 plus FAANG and MNCS interview queries, covering activation rate, super cloud customers, card launch, and pharmacy analytics.

Learn sql techniques for faang interviews: inner joins, aggregates, and group by to identify power creators; transform emails; compute market-segment revenue with lag; detect shopping sprees via date differences.

Calculate total drug sales per manufacturer for CVS Health and format as dollars in millions, rounding to nearest million, using group by or partition by, and dividing by ten lakh.

Compute the year-on-year growth rate of total spend per product using lag over partition by product ID to obtain previous year spend, and round the result to two decimals.

Calculate the return on ad spend for each advertiser by summing revenue and spend, then divide revenue by spend, round to two decimals, and order by advertiser id.

Identify the number of users who purchased the same product on two or more different days by querying the purchases table for distinct purchase dates per user and product.

learn to identify subject matter experts at Accenture using sql, applying the eight-or-more-years single-domain or twelve-or-more-years across two-domain criteria via an employee_expertise table.

Learn to write an SQL query that ranks Twitter user sessions by total duration in minutes, partitioned by session type, and outputs user ID, session type, and rank.

Identify for each user their most recent Walmart transaction date and the number of products purchased, outputting user id, max date, and product count sorted by date.

Identify two-way unique relationships in a PayPal payments table by counting payer-recipient pairs with bidirectional transfers and dividing by two.

Understand the difference between union and union all: union returns distinct rows, union all returns all rows, with rules for column count, data type, and order.

Compare stored procedures and functions, detailing return behavior, parameter types, and what content each can execute; explain when to use select, DML, and exception handling.

Identify and delete duplicate data in sql by grouping by name, salary, and department to keep the minimum id, or use rank with partition by those columns to remove duplicates.

Learn to compute the nth highest department-wise salary using rank and dense_rank, with a join of employees and departments, partitioned by department and ordered by salary.

Advance the sql project by joining clean customer orders with clean runners orders to find the maximum pizzas in a single order, excluding cancelled orders, and analyze hourly pizza volumes.

Explore building a library management system with seven tables, and implement basic stored procedures with joins to manage book copies, borrowers, due dates, and author data.

Explore a real-time SQL project with four related tables, record label, artist, album, and song, covering five queries on joins, counts, and artist rankings.

Explore real time SQL project part two by joining artist, album, and song data to find least songs per artist and top five longest songs using derived tables.

Solve the find-the-manager-with-most-direct-reports problem by counting direct reports in an employee table, grouping by manager, and ordering by counts to return the top manager.

Master advanced pivot techniques to count gold, silver, and bronze medals per country and generate a per-country total; compare case when logic with pivot across sql server, postgresql, and oracle.

Explore how to identify mutual follow pairs in a social media follows table using a self join and intersect, compare approaches, and validate SQL queries.

Delete all orders placed by inactive customers by writing a single query that uses a subquery or a join between the customer and order tables.

List all employees in each department by aggregating names into a single comma separated string per department using string aggregate function, with guidance for SQL Server, MySQL, PostgreSQL, and Oracle.

Create a SQL query to list each employee with their manager name by mapping manager_id to employee_id in the same table, using isnull for a default when null.

Find the second most recent activity per user using a window function with row_number, partition by username, order by start date, and return the single activity if only one exists.