▶️ Logical Operator Part-2: Truthy And Falsy Value in Javascript:-

/**
* Logical Operator with truthy and falsy values
* 1. OR
* 2. AND &&
*
* Truthy
* Falsy Values - "",0,null,undefined
*/

console.log(Boolean("Prakash"));

console.log(Boolean(""));

console.log(Boolean(null));

console.log(Boolean(undefined));

console.log(Boolean(0));

const firstName = "Prakash";
const nickName = "Anna";

console.log(firstName||nickName); // Output : Prakash

const emptyFirstName = "";
const FilledNickName = "Anna";

console.log(emptyFirstName|| FilledNickName); // Output : Anna

const FilledFirstName = "Prakash";
const EmptyNickName = "";

console.log(FilledFirstName|| EmptyNickName); //Output : Prakash

const emptyString = "";
const nullValue = null;

console.log(emptyString||nullValue);

const nullValue2 = null;
const emptyString2= "";

console.log( Name - ${nullValue2||emptyString2} );

console.log( Name - ${nullValue2emptyString2null} );

console.log( Name - ${nullValue2emptyString2null||"HiddenGeek"} ); //Short Circuiting

let a12 = 12;
let undefinedb;

console.log(a12+undefinedb);

let a = 12;
let b;

console.log(a+(b||0));

let a1 = 12;
let b1=3;

console.log(a1+(b1||0));

let a2 = 12;
let b2=null;

console.log(a2+(b2||0));

let a3 = 12;
let b3="";

console.log(a3+(b3||0));

const firstNameForAnd = "Prakash";
const firstNickNameForAnd = "Anna";

console.log(Name - ${firstNameForAnd && firstNickNameForAnd});

const firstNameForAnd1 = "Prakash";
const firstNickNameForAnd1 = null;

console.log(Name - ${firstNameForAnd1 && firstNickNameForAnd1});

const firstNameForAnd2 = "Prakash";
const firstNickNameForAnd2 = null;

console.log(Name - ${firstNameForAnd2 && firstNickNameForAnd2});

const firstNameForAnd3 = "Prakash";
const firstNickNameForAnd3 = "Anna";

console.log(Name - ${firstNameForAnd3 && firstNickNameForAnd3 && "HiddenGeek"});

Output : -

[Running] node "c:\Users\subham.krishna\Desktop\JavaScript\logical-operator-2.js"
true
false
false
false
false
Prakash
Anna
Prakash
null
Name -
Name - null
Name - HiddenGeek
NaN
12
15
12
12
Name - Anna
Name - null
Name - null
Name - HiddenGeek

/**
* Nullish Coalescing in javascript?? : When the variable is null or undefined then it gives the alternative value assigned by the symbol ??
*/

let firstName;
console.log(firstName ?? "HiddenGeeks"); // Output : HiddenGeeks

let firstNullName = null;
console.log(firstNullName ?? "Nullish Coalescing Value"); // Output : Nullish Coalescing Value

let firstEmptyName = "";
console.log(firstEmptyName ?? "Nullish Coalescing Value"); // Output : (Empty String)

const a =0;
console.log(a??1); // Output : 0

▶️ Stuck issue ------------/ways to make your pc/laptop faster:-

Press start button and search Commant Prompt and run as administrator =>sfc /scannow after that 100% type : DISM /Online /Cleanup-Image /RestoreHealth Press start button and search Commant Prompt and run as administrator >> DISM /Online /Cleanup-Image /ScanHealth Press start button and search Commant Prompt and run as administrator >> chkdsk Go to search >> %temp% => delete all temp files win + R =>prefetch => delete everything Go to search >>Type disk cleanup => clean Go to search >>Type services >> Windows Update >> disable win + R =>sysdm.cpl =>> advanced => settings => click adjust for best performance

▶️ How to push front end part of project to docker hub using dockerfile ?

1st: a) Create a DockerFile named as DockerFile in parent directory of frontend part of project,and write the following code there :

FROM node:22 AS build

WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build

FROM nginx:alpine
COPY --from=build /app/dist/frontend/browser /usr/share/nginx/html

b) Also put this code after creating the .dockerignore file in the root directory of frontend part and write the following files which you wat to ignore there(in our case) following:

.angular(front_end_framework_automatically_created_folder,in my case it is .angular)
dist
node_modules



2nd : After that open terminal from any IDE and go to the path where frontend part's root folder is present,after that type the following command there :

docker build -t NameOfTheProject(in my case it is angular-frontend).

3rd: In the root folder only write the following command to tag the project as follows :

docker tag NameOfProject docker_hub_account_username/NameWithWhatNameYouWantToPushProject


4th : After tagging the project just write the following command in order to push the project into docker hub :

docker push DockerhubAccountUsername/frontend:latest

These following steps will push the frontend part of project into docker hub successfully.

▶️ Common JavaScript Events:

Event Attribute Description
1. onclick : Triggered when an element is clicked.

2. onmouseover : Fired when the mouse pointer moves over an element.

3. onmouseout : Occurs when the mouse pointer leaves an element.

4. onkeydown : Fired when a key is pressed down.

5. onkeyup : Fired when a key is released.

6. onchange : Triggered when the value of an input element changes.

7. onload : Occurs when a page has finished loading.

8. onsubmit : Fired when a form is submitted.

9. onfocus : Occurs when an element gets focus.

10. onblur : Fired when an element loses focus.

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1) What is manual testing?

If we are testing software without using and tools then it is called manual testing.

2) What is automation testing?

Performing testing with the help of tools is known as Automation Testing.

3) What is selenium?

Selenium is a web based automation tool/library, it's open source,free and is a collection of multiple components (IDE,WebDriver,Grid) developed by Jaosn Huggins in 2004 in ThoughtWorks Company.

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Anudip Foundation For Social Welfare

Data Analyst Trainer
Bengaluru
2 - 4 years
3.0 lacs - 4.5 lacs
In office
Technical Training

Apply now

Job description

Position: Data Analytics Trainer

Department:
Reporting To:
Location:

Role Summary

We are looking for a technically proficient and impact-driven Data Analytics Trainer

The candidate will bridge academic learning and real-world business application by delivering structured, hands-on training in analytics and business intelligence tools. The programs objective is to prepare learners, primarily from diverse socio-economic backgrounds for entry-level analytics roles and enable measurable employability outcomes.

Primary Objectives

Deliver industry-relevant analytics training aligned with current employer expectations.

Develop job-ready candidates for entry-level roles in Data and Business Analytics.

Ensure measurable improvements in learner competency, project quality, and placement conversion.

Maintain academic quality, compliance, and CSR reporting standards.

Key Responsibilities

1. Program Delivery & Technical Facilitation

Training Delivery & Academic Excellence
Deliver structured instructor-led and blended sessions covering IT & Data Fundamentals, Advanced Excel, SQL, Power BI/Tableau, Business Analysis, ETL concepts, and Basic Statistics.
Facilitate hands-on practice, mini projects, and capstone assignments using real-world datasets.
Train learners in dashboard development, SQL querying, Power Query automation, DAX basics, and business documentation standards.
Integrate AI-enabled analytics tools into the learning journey while ensuring responsible usage.
Simplify complex technical concepts for first-generation graduates.
Contribute effectively in the program success by ensuring good placement outcomes as per defined matrices.
3. Industry Alignment & Placement Support

Align curriculum, assignments, and capstone projects with hiring trends.

Incorporate business use cases reflecting real-world problem statements.

Collaborate with placement teams to enhance job readiness and conversion rates.

Collaborate with the content team to update content regularly based on employer feedback and emerging analytics trends.

Technical Competency Requirements

Must-Have

Advanced Excel & Data Processing
• Advanced formulas, lookup functions, pivot tables, dashboard creation.
• Data cleaning, validation, and transformation techniques.
• Power Query for automation and structured workflows.
SQL & Database Management
• Strong SQL querying (joins, subqueries, aggregation, views).
• RDBMS fundamentals and relational data modeling.
Business Intelligence
• Hands-on experience with Power BI or Tableau.
• Data modeling, dashboard design, and DAX basics (for Power BI).
Statistics & Analytical Thinking
• Descriptive statistics, correlation, hypothesis testing fundamentals.
• Ability to interpret statistical output for business decisions.
AI-Enabled Analytics
• Understanding of Generative AI and structured prompt writing.
• Responsible AI usage and data ethics awareness.
Good-to-Have

ETL workflow exposure and data pipeline concepts.
• Query optimization and JSON/NoSQL familiarity.
• Experience using Google Colab for dataset exploration and Python-based analysis (Pandas, NumPy).
• Exposure to AI-assisted analysis using Gemini within Colab.
• Experience using Julius AI for conversational data analysis and automated insight generation.
Eligibility Criteria

Bachelor’s or Master’s degree in Computer Science, IT, Data Science, Statistics, Mathematics, or related discipline

2–5 years of practical experience in Data Analytics or Business Analysis

Prior training or facilitation experience preferred

Experience in CSR, NGO, or government skilling initiatives is an added advantage

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