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𝗧𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝘄𝗮𝗻𝘁 𝗿𝗲𝗳𝗲𝗿𝗿𝗮𝗹𝘀 𝗮𝗻𝗱 𝗝𝗼𝗯𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗳𝗿𝗼𝗺 𝗧𝗼𝗽 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗕𝗮𝘀𝗲𝗱, 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗮𝘀𝗲𝗱 𝗮𝗻𝗱 𝗦𝘁𝗮𝗿𝘁 𝘂𝗽  𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗹𝗶𝗸𝗲 𝗔𝗺𝗮𝘇𝗼𝗻, 𝗚𝗼𝗼𝗴𝗹𝗲,  𝗔𝗽𝗽𝗹𝗲, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁, 𝗜𝗕𝗠, 𝗧𝗖𝗦, 𝗖𝗼𝗴𝗻𝗶𝘇𝗮𝗻𝘁, 𝗪𝗶𝗽𝗿𝗼, 𝗖𝗧𝗦, 𝗚𝗼𝗹𝗱𝗺𝗮𝗻 𝗦𝗮𝗰𝗵𝘀, 𝗢𝗹𝗮, 𝗨𝗯𝗲𝗿, 𝗭𝗼𝗺𝗮𝘁𝗼, 𝗦𝘄𝗶𝗴𝗴𝘆, 𝘂𝗽𝗚𝗿𝗮𝗱, 𝗖𝘂𝗿𝗲 𝗙𝗶𝘁, 𝗛𝗮𝗰𝗸𝗲𝗿𝗿𝗮𝗻𝗸, 𝗚𝗲𝗲𝗸𝘀𝗳𝗼𝗿𝗴𝗲𝗲𝗸𝘀 𝗮𝗻𝗱 𝗺𝗮𝗻𝘆 𝗺𝗼𝗿𝗲, 𝗰𝗮𝗻 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲 𝗯𝗲𝗹𝗼𝘄 network.

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🚀 JavaScript Interview Questions with Answers — Part 1

1. What is JavaScript?

JavaScript is a high-level, interpreted programming language used to create interactive and dynamic web pages. It runs in web browsers and can also be used for backend development with Node.js.

Common Uses:

Interactive websites

Form validation

Animations

API calls

Web applications

Backend development

Example:

console.log("Hello JavaScript");

2. What are the different data types in JavaScript?

JavaScript has two categories of data types.

Primitive Data Types

String

Number

Boolean

Undefined

Null

BigInt

Symbol

Non-Primitive (Reference) Data Types

Object

Array

Function

Example:

let name = "Deepak";   // String
let age = 25;          // Number
let isActive = true;   // Boolean
let data = null;       // Null
let value;             // Undefined

3. What is the difference between var, let, and const?

Feature | var | let | const

Scope | Function | Block | Block

Reassign | ✅ Yes | ✅ Yes | ❌ No

Redeclare | ✅ Yes | ❌ No | ❌ No

Hoisted | ✅ Yes | ✅ Yes (TDZ) | ✅ Yes (TDZ)

Example:

var a = 10;
let b = 20;
const c = 30;

Interview Tip:

Use const by default, let when the value changes, and avoid var in modern JavaScript.

4. What are primitive and non-primitive data types?

Primitive Data Types

Stored by value.

Examples:

String

Number

Boolean

Null

Undefined

BigInt

Symbol

Non-Primitive Data Types

Stored by reference.

Examples:

Objects

Arrays

Functions

Example:

let a = 10;
let b = a;
b = 20;

console.log(a); // 10

Reference Example:

const obj1 = { name: "John" };
const obj2 = obj1;
obj2.name = "Mike";
console.log(obj1.name); // Mike

5. What is type coercion?

Type coercion is JavaScript's automatic conversion of one data type into another during operations or comparisons.

Example:

console.log("5" + 2); // "52"
console.log("5" - 2); // 3

Types:

Implicit coercion (automatic)

Explicit coercion (manual)

Explicit Example:

Number("10"); // 10
String(100);  // "100"

6. What is the difference between == and ===?

== (Loose Equality)

Compares values only

Performs type conversion

=== (Strict Equality)

Compares both value and data type

No type conversion

Example:

console.log(5 == "5");   // true
console.log(5 === "5");  // false

Best Practice:

Always prefer === to avoid unexpected results.

7. What are truthy and falsy values?

Truthy Values

Values treated as true in a boolean context.

Examples:

Non-empty strings

Non-zero numbers

Objects

Arrays

Falsy Values

JavaScript has these falsy values:

false

0

-0

0n

"" (empty string)

null

undefined

NaN

Example:

if ("Hello") {
    console.log("Truthy");
}
if (0) {
    console.log("Won't execute");
}

8. What is undefined?

undefined means a variable has been declared but has not been assigned a value.

Example:

let value;
console.log(value);

Output:

undefined

Key Point:

undefined is assigned automatically by JavaScript.

9. What is null?

null represents an intentional absence of any object value.

It is assigned manually by the developer.

Example:

let user = null;
console.log(user);

Output:

null

Difference:

undefined → No value assigned.

null → Empty value assigned intentionally.

10. What is NaN?

NaN stands for Not a Number.

It represents an invalid numeric result.

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🗄️ SQL Important Tips for Beginners

If you're starting SQL for Data Analytics, don't try to memorize hundreds of queries. Focus on understanding how SQL thinks and practice consistently.

1. Master the basic SQL order

Learn these clauses first:

• SELECT

• FROM

• WHERE

• GROUP BY

• HAVING

• ORDER BY

• LIMIT

Understand what each one does before moving to advanced SQL.

2. Understand the logical execution order

SQL doesn't logically execute a query in the same order you write it.

A simplified order is:

• FROM

• WHERE

• GROUP BY

• HAVING

• SELECT

• ORDER BY

• LIMIT

This helps explain many SQL interview questions.

3. Get comfortable with filtering

Master:

• WHERE

• AND / OR / NOT

• IN

• BETWEEN

• LIKE

• IS NULL / IS NOT NULL

Note: use IS NULL, not = NULL.

4. Learn aggregate functions properly

You should be comfortable with:

• COUNT()

• SUM()

• AVG()

• MIN()

• MAX()

Example:

SELECT department, AVG(salary)
FROM employees
GROUP BY department;

5. Understand GROUP BY vs HAVING

• WHERE → filters rows before grouping

• HAVING → filters groups after aggregation

Example:

SELECT department, COUNT(*) AS employees
FROM employees
GROUP BY department
HAVING COUNT(*) > 10;

6. Master JOINs

For Data Analyst interviews, JOINs are extremely important. Learn:

• INNER JOIN

• LEFT JOIN

• RIGHT JOIN

• FULL OUTER JOIN

• CROSS JOIN

• SELF JOIN

Most importantly, understand why rows are included or excluded in each JOIN.

7. Always understand your keys

Know the difference between:

• Primary Key

• Foreign Key

• Composite Key

• Unique Key

Understanding relationships between tables will make JOINs much easier.

8. Don't ignore NULL

NULL does not mean:

• 0

• Empty string

• False

Learn how NULL behaves with: IS NULL, IS NOT NULL, COALESCE(), NULLIF()

9. Learn CASE WHEN early

CASE is one of the most useful SQL features for analytics.

SELECT employee,
       salary,
       CASE
           WHEN salary >= 100000 THEN 'High'
           WHEN salary >= 50000 THEN 'Medium'
           ELSE 'Low'
       END AS salary_category
FROM employees;

10. Practice subqueries

Understand queries inside queries:

SELECT *
FROM employees
WHERE salary > (
    SELECT AVG(salary)
    FROM employees
);

Then move toward correlated subqueries.

11. Learn CTEs

CTEs make complex SQL easier to read and maintain.

WITH sales_summary AS (
    SELECT customer_id, SUM(amount) AS total_sales
    FROM sales
    GROUP BY customer_id
)
SELECT *
FROM sales_summary
WHERE total_sales > 10000;

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EVERYONE JOIN FAST

SO THAT YOU ALL WON'T MISS ANY Coding Contest 🔥

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𝟭. 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

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𝟮. 𝗟𝗘𝗘𝗧𝗖𝗢𝗗𝗘 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

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𝟯. 𝗖𝗢𝗗𝗘𝗙𝗢𝗥𝗖𝗘𝗦 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

https://t.me/codeforces_cp

𝟰. 𝗖𝗢𝗗𝗘𝗖𝗛𝗘𝗙 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

https://t.me/codechef_group

𝟱. 𝗖𝗢𝗗𝗜𝗡𝗚 𝗡𝗜𝗡𝗝𝗔𝗦 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗿𝗼𝘂𝗽:

https://t.me/coding_ninjas_discuss

𝟲. 𝗔𝗧𝗖𝗢𝗗𝗘𝗥 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗥𝗢𝗨𝗣:

https://t.me/atcoder_discuss

𝟳. 𝗡𝗘𝗪𝗧𝗢𝗡 𝗦𝗖𝗛𝗢𝗢𝗟 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗥𝗢𝗨𝗣:

https://t.me/Newton_School_Discuss

𝟴. 𝗞𝗔𝗚𝗚𝗟𝗘 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗥𝗢𝗨𝗣:

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9.Smart India Hackathon:

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10. ICPC Official:

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𝗟𝗮𝘁𝗲𝘀𝘁 𝗝𝗼𝗯𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗨𝗽𝗱𝗮𝘁𝗲𝘀 𝗳𝗼𝗿 𝟮𝟬𝟭𝟳, 𝟮𝟬𝟭𝟴, 𝟮𝟬𝟭𝟵, 𝟮𝟬𝟮𝟬, 𝟮𝟬𝟮𝟭, 𝟮𝟬𝟮𝟮, 𝟮𝟬𝟮𝟯, 𝟮𝟬𝟮𝟰, 𝟮𝟬𝟮𝟱, 𝟮𝟬𝟮𝟲, 𝟮𝟬𝟮𝟳, 𝟮𝟬𝟮𝟴 𝗮𝗻𝗱 𝟮𝟬𝟮𝟵 𝗕𝗮𝘁𝗰𝗵.

Share with your College Whatsapp Groups & Friends.

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Data analytics is not about the the tools you master but about the people you influence.

I see many debates around the best tools such as:

- Excel vs SQL
- Python vs R
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- ChatGPT vs no ChatGPT

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All business cares about is:

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1️⃣ Jobs and Internships Updates
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2️⃣ Jobs and Internships India
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Share with your College Whatsapp Groups & Friends too

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