
Beginner SQL learners will tackle the top 50 SQL problems from basics to advanced, gaining both theoretical and practical knowledge.
solve the second sql program on hackerrank using oracle sql by selecting the city names with population greater than 120000 in usa from the city table.
Solve the third sql program by selecting all columns from the city table and running the code to submit the basic problem solution.
Demonstrates a simple sql query to retrieve all columns from the city table for id 1661 using select star from city where id = 1661.
Select all attributes from the city table for Japanese cities and filter by country_code = 'JPN', demonstrating the fifth sql coding challenge and solution.
Practice SQL to fetch the names of Japanese cities by selecting the name from the city table where country code like JPN, returning only the names.
Select city and state from the station table to tackle the seventh SQL challenge. Verify the code solves the problem by running it to display the city and state.
Learn to query the station table for unique city names with even ids by using distinct and a where clause with mod id 2 = 0, then submit the solution.
solve the ninth hackerrank sql challenge by computing the difference between total city count and distinct city count in the station table using count and count(distinct city).
Execute a SQL query to list city names from the station table that start with vowels a, e, i, o, u, using distinct to avoid duplicates.
Explore sql coding challenge 11 by querying the station table for city names ending with vowels a, e, i, o, u, ensuring unique results and correct select conditions.
Query the station table to list city names not starting with vowels, returning distinct results using not like patterns for a, e, i, o, u in both cases.
Learn to query unique city names from the station table that do not end with vowels, using select distinct and a not like pattern.
Solve an intermediate sql problem on hackerrank by selecting names from the students table where score > 75, and order by last three name characters, with id ascending for ties.
Tackle a sql coding challenge by selecting all employee names from the employee table and ordering them alphabetically. Prepare for problem 17 in the next class.
Learn to write a SQL query that selects employee names with salary greater than 2000 per month and less than 10 months, ordered by ascending employee ID.
Solve the 17th SQL coding challenge by counting cities in the city table with population larger than one lakh; run to see output six.
Sum the population from the city table where the district equals California to get the total population. The example confirms the California district.
Solve the SQL challenge 19 by querying the average population of cities in the city table where the district equals California, using an avg function and a select statement.
query the average population from the city table and round it to the nearest integer using sql, completing problem 20 and preparing for the next challenge.
Solve the sum of population for all Japanese cities by querying the city table where country code equals JPN, practicing SQL aggregation.
Solve the difference between maximum and minimum population by using select max(population) - min(population) from city, execute the code, and view the difference output.
Calculate the sum of latitude and the sum of longitude from the station table, rounding each result to two decimals, with debugging to switch latitude and longitude as needed.
Query the station table to sum the northern latitude, apply a range filter greater than 38.7880 and less than 37.2345, and truncate the result to four decimals.
Solve the 26th problem by selecting the maximum northern latitude from the station table, restricting values to less than 1.2345, and rounding the result to four decimal places.
Query the station table to find the minimum northern latitude greater than 38.7780, then round the result to four decimals.
Query the western longitude with the smallest longitude by rounding the value from the station table, then identify the smallest northern latitude greater than 38.7780.
Learn to compute the median of the northern latitude from the station table and round the result to four decimal places to solve the 29th problem.
Compute the Manhattan distance between two points in SQL, using min and max north latitude and western longitude, then round the result to four decimals.
Apply the euclidean distance formula between two 2d points and translate it into an oracle sql query, noting the correct use of power and round functions.
Learn to print a star pattern in Oracle SQL using declare, for loops, and DBMS_OUTPUT.PUT_LINE, with reverse ordering from 54321 to 20.
Solve the second ascending star pattern in pl/sql by using nested for loops, declaring variables in begin, enabling server output, and printing with dbms_output.put_line across 1 to 20 rows.
Print all prime numbers up to 1000 in a single line, separated by ampersands, using a loop-based prime check with mod and output via dbmsoutput.
Identify root, inner, and leaf nodes in a binary search tree using sql with columns n and p, where p is null for the root and nonnull for inner nodes.
Solve a sql challenge by listing each continent and its rounded average city population, using floor and joining city to country on country code, then grouping by continent.
Learn to compute the difference between the actual average salary and a miscalculated average formed by replacing zeros with null, using SQL replace and ceil.
Solve a SQL challenge using tables students and grades to produce a report of name, grade, and mark, with nulls for grades below eight and ordering by grade and name.
Compute each employee's total earnings as salary times months, then return the maximum total earnings and the count of employees achieving it, printed as two separated integers.
Solve a SQL query to list each continent and the floor of the average city population by joining city and country on country code and grouping by continent.
Solve advanced join problems using three tables: student, friend, and packages, to output students whose best friend's salary exceeds theirs, ordered by the best friend's salary.
Learn to build a leaderboard by joining hackers, summation, challenges, and difficulty to identify hackers with full scores on more than one challenge, grouped by hacker id and name.
Solve a Hackerrank SQL challenge by listing names by occupation in alphabetical order and reporting counts per occupation with a formatted, lowercased output.
Welcome to the SQL Coding Challenge Bootcamp: 50 Challenges Solved – your one-stop solution to mastering SQL through real-world coding problems!
Whether you're a beginner, a data science enthusiast, or preparing for technical interviews, this course will guide you through the 50 most essential SQL challenges, commonly asked in HackerRank, LeetCode, and top tech company interviews.
Master SQL by Solving 50 Real-World Challenges – Build Query Skills for Data Science, Interviews, and HackerRank Success
In this hands-on bootcamp, each SQL challenge is solved step-by-step with clear explanations, optimized solutions, and real datasets. You’ll go from writing basic queries to solving complex problems involving joins, aggregations, subqueries, window functions, and more.
Why This Course Stands Out:
Real-world problems from HackerRank/LeetCode
Fully solved challenges with walkthroughs
Builds confidence for coding rounds & interviews
Best practice for SQL in Data Science & Analytics
Suitable for job preparation and career switchers
We’ve made sure to start from the fundamentals and gradually move into intermediate and advanced problems, making this bootcamp perfect for both beginners and upskillers.
By the End of This Course:
You will have solved 50 practical challenges.
You will understand how to approach real-world data queries.
You’ll gain confidence to take on SQL interviews.
You’ll be equipped with a portfolio-ready SQL skillset.