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Welcome to HCL GUVI

Hey there! Welcome to HCL GUVI—Grab Your Vernacular Imprint—where tech learning is easy, fun, and curated specially for you. Incubated by IIT Madras & IIM Ahmedabad in 2014 and now part of HCL Group, we're making quality tech education accessible to all.

Join 3M+ learners breaking barriers and upskilling for a brighter future. We're here to guide you every step of the way! 🚀

LIVE Classes

Zen Classes are HCL GUVI's most refined and flagship product—live, expert-led tech programs for beginners and pros. With IITM Pravartak affiliations, master Full-Stack, Data Science, DevOps, UI/UX, and more in multiple languages!

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Courses

Looking for flexibility? HCL GUVI's 200+ self-paced courses let you learn anytime, anywhere! From free lessons to IIT-M & Autodesk-certified programs, gain in-demand skills in your preferred language.

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Practice Platforms

Enhance your coding skills with HCL GUVI's Practice Platforms—interactive, structured, and designed to help you master programming effortlessly.

CodeKata:

A structured coding practice platform with 1500+ coding problems designed by industry experts. Ideal for beginners and professionals preparing for tech interviews with real-world coding challenges.

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WebKata:

An interactive platform to master HTML, CSS, JavaScript, and Bootstrap with a live coding environment. Perfect for hands-on web development practice without any setup.

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SQLKata:

A practice ground for mastering SQL queries used in real-world applications. Write, optimize, and refine your queries to build strong database skills.

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Debugging:

Hone your bug-fixing skills with real-world debugging challenges in Python, C++, JavaScript, and Golang. More languages coming soon!

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IDE:

A free online compiler supporting 20+ programming languages with auto-complete, debugging, and AI-powered code generation—all in the cloud!

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Leaderboard

Climb the leaderboard as you earn Geekoins by learning and practicing! The top scorers get featured, making learning competitive and rewarding. Keep going—you could be next!

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Rewards

Earn Geekoins by watching videos and practicing problems, then redeem them for exciting rewards. The more you engage, the more you win!

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Referral

Love learning with HCL GUVI? Share it with friends! Invite them using your unique link or code and unlock exciting rewards—Amazon vouchers, iPhones, and more. A Win-Win.

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Profile

Your HCL GUVI profile is your digital portfolio! Track progress, showcase skills, add projects, and build a resume. Keep it updated—opportunities await!

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That's It! You Are Ready!

You're all set to dive into your learning journey with HCL GUVI. Explore, upskill, and make each step count—exciting possibilities awaits!

MCQs

Lesson 3: MCQs

Lesson 3: MCQs

1. Why is handling missing values important in student performance analysis?
a. To change visualization colors
b. To increase dataset size
c. To ensure accurate analysis and avoid errors
d. To remove numeric columns

Answer: c To ensure accurate analysis and avoid errors
Handling missing values ensures accurate calculations and prevents misleading results.

2. Why was a line chart used for attendance-based performance trends?
a. To compare unrelated categories
b. To show change across ordered attendance groups
c. To remove missing values
d. To convert data types

Answer: b To show change across ordered attendance groups
Line charts clearly show how exam scores change as attendance increases.

3. What did the correlation heatmap help identify?
a. Dataset size
b. Encoding format
c. Strength of relationships between factors and exam scores
d. Column renaming

Answer: c Strength of relationships between factors and exam scores
The heatmap visually displays how strongly each numeric factor is related to exam performance.

4. Which two factors showed the strongest positive correlation with Exam_Score?
a. Sleep_Hours and Physical_Activity
b. Attendance and Hours_Studied
c. Tutoring_Sessions and Sleep_Hours
d. Previous_Scores and Physical_Activity

Answer: b Attendance and Hours_Studied
Attendance and Hours_Studied showed the strongest positive correlation with exam performance.

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MCQs

Contents

Lesson 3: MCQs

Student Performance Analysis Project for Beginners Using Data Science

Recommended Handbooks

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Python Basics Handbook

Javascript Handbook

ReactJS Projects Handbook

Computer Networks Tutorial

Operating System Tutorial

DBMS and SQL Tutorial

Java Tutorial

C Language Tutorial

PHP Tutorial

Android Tutorial

Linux Guide Tutorial

Data Structures and Algorithms Tutorial

Computer Architecture

HTML 5 References Tutorial

Docker Tutorial

GIT (Using Github) Tutorial

Go Language Tutorial

GIT Guide

CSS Tutorial

Advanced Data Structures

Spring Framework Tutorial

Spring Boot Tutorial

Kotlin Tutorial

Apache Cordova Tutorial

Python Tutorial

SASS-SCSS Tutorial

MongoDB Tutorial

Numpy Tutorial

PL-SQL Tutorial

Python Built-in Functions Tutorial

Pandas Tutorial

Elasticsearch Tutorial

Matplotlib Tutorial

Web Scraping Tutorial

Networking with Python

Tkinter Tutorial

Java Programs Tutorial

Java Examples Tutorial

Servlet Tutorial

JSP Tutorial

Java Type Conversion Tutorial

Java 8 Tutorial

Java 9 Tutorial

Java 10 Tutorial

Java 11 Tutorial

Java Util Library Tutorial

Building a Contact Us Form in ReactJS

Building a Age Calculator App Using ReactJS

Movie Recommendation System Project Using Content-Based Filtering

Recipe Finder App using ReactJS

Sales Data Analysis Project for Beginners Using Data Science

Word Counter Tool Using ReactJS