#sqlmaychallenge search results
Day 8 of SQL May Challenge. Didn't really do much today, just took a look at the "SQL for data Science " Course, then I watched a few YouTube videos on SQL . # SQLserver #30daysofSQL #SQLMayChallenge.
Day 20: MAX and MIN functions (to return the maximum or minimum value in a column) Day 21: GROUP BY clause (to group rows based on a column) Day 22: HAVING clause (to filter groups based on a condition) #sqlmay #SqlMaychallenge
Day 14: SUBSTRING function (to extract a substring from a string) Day 15: REPLACE function (to replace a substring with another substring) Day 16: LENGTH function (to return the length of a string) #Sqlmaychallenge #sqlmay #DataAnalytics #Dataanalyst #SQL #Ssms
Day 17: ROUND function (to round a numeric value to a specified number of decimal places) Day 18: SUM function (to calculate the sum of a column) Day 19: AVG function (to calculate the average of a column) #SQL #SqlMaychallenge #Sqlmay
Day 7: Aggregate Functions (such as VARIANCE, STDDEV, and GROUP_CONCAT) for performing calculations on a set of values. Day 8: Pivot and Unpivot Operators for transforming data from rows to columns or columns to rows. #SQL #SqlMaychallenge #sqlmay
Day 14: Analytic Functions (such as LEAD, LAG, and FIRST_VALUE) for performing calculations across multiple rows within a result set. Day 15: Ranking Functions (such as PERCENT_RANK, CUME_DIST, and NTILE) for ranking rows within a result set. #Sqlmay #SqlMaychallenge #SQL #Data
Day 18: Rollup and Cube Operators for generating subtotals and totals for data sets. Day 19: Set Operators (such as UNION, INTERSECT, and EXCEPT) for combining and comparing the results of two or more SELECT statements. #SqlMay #DataAnalytics #SqlMaychallenge #SQL
Day 29: JSON Functions for working with JSON data in SQL Server. Day 30: XML Functions for working with XML data in SQL Server. I hope this list of advanced SQL functions helps you on your 30-day SQL learning journey Retweet and follow!! #SQL #sqlmay #Sqlmaychallenge #Data
Day 29: DATE functions (to work with dates and times) Day 30: INDEXES (to improve the performance of queries on large tables) I hope this list helps you on your 30-day SQL learning journey! #Sqlmay #SqlMaychallenge #Data23 #DataVisualization
DENSE_RANK() : also assigned ranking values. The only difference from RANK() is if there are tied rows, the next rank will have no gap. In the following example, we have two rows in rank 2 but the next value would assign to rank 3. #Sqlmaychallenge #Sqlmay #DataAnalytics
#SQLMayChallenge For Beginners you can start with this SQL functions each for 30 days!! Day 1. SELECT statement (to retrieve data from one or more tables) Day 2: DISTINCT function (to return unique values in a column) Check thread below!! #SQlMay #DataAnalytics #Data
#Sqlmaychallenge #Day 1. ROW_NUMBER() : assigns a sequential row number to each row. The row numbers of their native positions are used if the ORDER BY clause is not specified. #Sqlmay
For Advanced data analyst enthusiasts This thread list 30 Advanced #sql functions you could be learning for the #SqlMaychallenge Day 1: Window Functions (such as ROW_NUMBER, RANK, and DENSE_RANK) for partitioning and sorting data in a result set. #Sqlmay #DataAnalytics #Tech
Day 8 of SQL May Challenge. Didn't really do much today, just took a look at the "SQL for data Science " Course, then I watched a few YouTube videos on SQL . # SQLserver #30daysofSQL #SQLMayChallenge.
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