Data Analytics Course | Data Analytics Online Training Institute

1. Data Analytics Functions Data analytics often involves working with dates and text to extract meaningful insights from datasets. - Data Analytics Online Training Institute Here are some common date and text functions that are frequently used in data analytics: Date Functions: 1. DATEADD() / DATEDIFF(): - `DATEADD(unit, number, date)`: Adds a specified time interval to a date. - `DATEDIFF(unit, start_date, end_date)`: Returns the difference in time between two dates. 2. GETDATE(): Returns the current date and time. 3. YEAR(), MONTH(), DAY(): Extracts the year, month, or day from a date. 4. FORMAT(): Formats a date in a specific way (e.g., "YYYY-MM-DD"). 5. CONVERT(): Converts a date from one data type to another. - Data Analytics Online Training Text Functions: 1. LEN(): Returns the length of a string. 2. LEFT(), RIGHT(): Extracts a specified number of characters from the left or right of a string. 3. SUBSTRING(): Returns a specific part of a string starting at a specified position. 4. CONCAT(): Concatenates (joins) two or more strings. 5. UPPER(), LOWER(), INITCAP(): Converts text to uppercase, lowercase, or initial capitalization. 6. TRIM(): Removes leading and trailing spaces from a string. 7. CHARINDEX() / POSITION(): Returns the position of a substring within a string. 8. REPLACE(): Replaces occurrences of a specified substring with another substring. 9. COALESCE(): Returns the first non-null expression among its arguments, useful for handling missing or null values in text fields. - Data Analytics Training in Hyderabad Example Usage: Date Functions: ```sql SELECT DATEADD(MONTH, 3, '2023-01-15') AS FutureDate; SELECT DATEDIFF(DAY, '2023-01-01', '2023-02-01') AS DayDifference; SELECT YEAR('2023-01-15') AS ExtractedYear;

2. SELECT FORMAT('2023-01-15', 'YYYY-MM-DD') AS FormattedDate; ``` - Data Analytics Course Text Functions: ```sql SELECT LEN('Hello') AS StringLength; SELECT LEFT('Data Analytics', 4) AS LeftSubstring; SELECT SUBSTRING('OpenAI', 3, 3) AS SubstringExample; SELECT CONCAT('Hello', ' ', 'World') AS ConcatenatedString; SELECT UPPER('hello') AS UppercaseExample; SELECT TRIM(' Spaces ') AS TrimmedString; SELECT CHARINDEX('Analytics', 'Data Analytics') AS SubstringPosition; SELECT REPLACE('apple,orange,banana', ',', '|') AS ReplacedString; SELECT COALESCE(NULL, 'Default Text') AS CoalescedText; ``` - Data Analytics Online Training Institute These examples are given in the context of SQL, but similar functions are available in other data analytics tools and programming languages, each with its own syntax. Visualpath is the Leading and Best Institute for learning Data Analytics Course inHyderabad. We provide Data Analytics Online Training, you will get the best course at an affordable cost. Attend Free Demo Call on - +91-9989971070. Visit : https://www.visualpath.in/data-analytics- online-training.html