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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
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Data Analytics Tutorial for COBOL Programmers

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Mainframe developers look for an alternative IT course to grow in their careers. I have explained in this post how can they use their business knowledge. Data analytics tutorial is a top an alternative for COBOL programmers.

analytics tutorial for COBOL developers

What is Data Analytics

The field of data science is evolving into one of the fastest-growing and most in-demand fields in the world. 

Organizations across industries are looking to make sense of the data they can now collect from new technologies – from predicting the next hot product to determining the risk of an infectious disease outbreak.

Demand and Opportunity

  • According to The New York Times, data science “promises to revolutionize industries from business to government, health care to academia.”
  • As data accumulates, organizations are hiring individuals with the expertise to find meaning in the numbers and drive positive business decisions based on what they learn.
  • It is estimated that by 2018, 4 million to 5 million jobs in the United States will require data analysis skills, and a recent study from the McKinsey Global Institute found “a shortage of the analytical and managerial talent necessary to make the most of Big Data is a significant and pressing challenge (for the U.S.).”
  • Based on the number of job openings, median base salary and career opportunities, Glassdoor has ranked data scientist as the “Best Job in America”.

Who can opt for Data Analytics Tutorial

  1. Strong interest in data science 
  2. Background in intro level statistics 
  3. Programming experience in Python for Data Science 
  4. Understanding of programming concepts such as variables, functions, loops, and basic python data structures like lists and dictionaries
Start Your Free Data analytics Tutorial here.

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