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SQL Interview Success: Unlocking the Top 5 Frequently Asked Queries

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 Here are the five top commonly asked SQL queries in the interviews. These you can expect in Data Analyst, or, Data Engineer interviews. Top SQL Queries for Interviews 01. Joins The commonly asked question pertains to providing two tables, determining the number of rows that will return on various join types, and the resultant. Table1 -------- id ---- 1 1 2 3 Table2 -------- id ---- 1 3 1 NULL Output ------- Inner join --------------- 5 rows will return The result will be: =============== 1  1 1   1 1   1 1    1 3    3 02. Substring and Concat Here, we need to write an SQL query to make the upper case of the first letter and the small case of the remaining letter. Table1 ------ ename ===== raJu venKat kRIshna Solution: ========== SELECT CONCAT(UPPER(SUBSTRING(name, 1, 1)), LOWER(SUBSTRING(name, 2))) AS capitalized_name FROM Table1; 03. Case statement SQL Query ========= SELECT Code1, Code2,      CASE         WHEN Code1 = 'A' AND Code2 = 'AA' THEN "A" | "A

Here are 5 Skills You need to Become SAS Data Analyst

Want to know what will happen in the future? Find the most lucrative opportunities? Get insights into impending outcomes? No problem. With our SAS data mining software, you can:

SAS Data Analyst.

Simplify data preparation. Interact with your data quickly and intuitively using dynamic charts and graphs to understand key relationships.

Quickly and easily create better models. Take the guesswork out of building models that are both stable and accurate using proven techniques and a drag-and-drop interface that's both easy-to-use and powerful.

sas data analysts skills


Put your best models into service. Fast. Spend less time and effort scoring new data using automated, interactive processes that work in both batch and real-time environments.

The requirement varies from company to company. I am giving here the basic skills you need for a SAS data analyst

  1. Experience in SAS or R analytics
  2. Scripting languages of Python/JavaScript/VB Script
  3. SQL and PL/SQL
  4. Databases knowledge in Oracle, DB2, SQL Server
  5. Hadoop and Big data Knowledge

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