Internship 2

About the Internship

Internship Type: Virtual
Internship Title: EY GDS - AICTE Internship
Internship Camp 2 Dates: 28th February 2024 – 16th April 2024
Internship Description:

"Dive into the world of data analytics and full-stack web development with the EY GDS-AICTE Internship and unlock the door to a future filled with innovation and opportunity!

Join the EY GDS-AICTE Internship program! This is your chance to immerse yourself in hands-on learning of essential practical skills for success. This 6-week internship camp offers you the opportunity to acquire and demonstrate skills that will significantly improve your technical abilities and enhance your career prospects.

Throughout the internship, you'll receive mentorship from a dedicated industry expert. You'll have the opportunity to develop project prototypes to tackle real-world challenges using your preferred technology track. Work in a student team under your mentor's guidance to identify solutions to problems using technology. Selected students will also have the chance to showcase their developed project prototypes at a regional showcase event attended by industry leaders.

About EY GDS:

Ernst & Young Global Delivery Services, a global leader in professional services, has expanded its commitment to corporate social responsibility (CSR) to include a robust skilling component. Recognizing the critical role that education and skill development play in fostering sustainable communities, EY has launched numerous initiatives aimed at equipping individuals with the skills they need to thrive in a rapidly changing world. These programs extend beyond traditional business interests and reflect EY's dedication to making a positive impact beyond its core services. The Next Gen Employability Program is an initiative by Edunet & AICTE in collaboration with EY GDS to enhance the employability of students in the technical education ecosystem.

About Edunet:

Edunet Foundation (EF) was founded in 2015. Edunet promotes youth innovation, and tinkering, and helps young people prepare for industry 4.0 jobs. Edunet has a national footprint of training 300,000+ students. It works with regulators, state technical universities, engineering colleges, and high schools throughout India to enhance the career prospects of the beneficiaries.

Keywords:

EY, Full Stack Development, Backend Development, Data Analytics, Data Visualization, Cloud Computing, Frontend Development, Python, Power BI, Edunet, Microsoft Azure

Locations: Across India
Amount of stipend per month: ZERO
Qualification: BTech/B.E./Equivalent, BCA, BSc in computer science etc.
Specialization: ECE, CSE, EEE, IT, ISE, AIML, DS etc.

Perks:

Personalized mentorship sessions and collaborative group learning.
Opportunities to expedite learning through project-based internships.
A holistic learning experience provided by industry experts through knowledge-sharing sessions.
Showcase your skills by creating prototypes to solve real-world challenges.
Earn certifications from EY, AICTE, and Edunet, boosting your confidence and value to potential future employers.
Opportunity to present your project prototypes to a panel of industry experts at a regional showcase event.

Terms of Engagement: 6 weeks. 28th February 2024 – 16th April 2024.

Eligibility Criteria:

The internship opportunity is open to all students who can commit to 6 weeks (6-8 hours per week).
Students should have a valid Gmail account for EY-AICTE Internship Camp Registration.
Eligible disciplines include Computer Science, Electrical and Electronics, Information Technology, AIML, DS, and ISE.
Access to a computer or laptop with a stable internet connection is required.
Operating system: Any
Browser: Any

Note: The enrolment of students in the EY GDS-AICTE 6-week internship camp is subject to the discretion of the team responsible for the operationalization of the Next Gen Employability Program at Edunet Foundation.

Indicative timelines for the internship:

Event	Timeline
Onset of registration	01-02-2024
Closing applications for internship registrations	25-02-2024
Commencement of internship	28-02-2024
Offer letter disbursement for internees	09-03-2024
End of internship	16-04-2024
Awarding certificates	25-04-2024

Data Analytics Projects

Power BI Driven Exhaustive Analysis of the Indian Agriculture Sector
Exploratory Data Analysis on Space Exploration Missions using Power BI
Power BI Enabled Comprehensive Analysis of Unicorn Businesses
Building Customer Segmentation Models using Python
Healthcare Driven Decisions using Power BI

Data Analytics Course Project Approach

(Weekly Progress Report)

Weekly Completion Tasks

Weekly Module Completion Progress

Week 1: Importing, Pre-Processing and Data Modelling

Understanding Data Analytics basics
Understanding Data and application
Understanding Power BI tool
Project Planning (Module identification)
Adding the Data to Power BI
Preparations- Categorization of Data, Data Cleaning operations, Data Wrangling operations, etc.
Identify relations among the data tables and Data Modelling
Business Requirements generation

Week 1:

Data Analytics basic knowledge understanding level
Power BI Knowledge
Data Importing to Data Operations like Data Cleaning etc.
Create relationships between tables
Understanding the Business / Project Requirements

Submission Details:

Expected content: The student must share the project aim, requirements, and tools usage, minimum requirements (Hardware and software), Knowledge of Data Modelling in a Word document

File format: Word / PDF

Power BI Driven Exhaustive Analysis of Indian Agriculture Sector - https://forms.gle/Rvden2GAyGGfZiAK7

Exploratory Data Analysis on Space Exploration Missions using Power BI - https://forms.gle/fvuCuYE6qoPVYCYP6

Power BI Enabled Comprehensive Analysis on Unicorn Businesses - https://forms.gle/BNDKtJszT9Qes3di7

Building Customer Segmentation Models using Python - https://forms.gle/iUXF5hJDnwLNYGMC7

Health Care Data Driven Decisions using Power BI - https://forms.gle/Vji22g4Sii6HTvKN8

Week 2: DAX and Dash Board(Visualization)

Understanding Data Analysis Expressions for the Project Context
DAX Functions to Project Context
Prepare New Measures and New Columns using DAX Functions according to the Project requirements
Understanding the Various Charts and their usage
Select the appropriate Chart for each Project requirement.
Visualize the text data into Charts
Apply filter(s) on the Chart, if needed.

Week 2:

Prepare the DAX functions for the Project's betterment
Advanced Visualization
User Interaction using filtering, slicers, etc. to make the project interactive.
Create new Columns and new Measures, if needed
Use DAX functions to enhance the Chart

Submission Details:

Expected content: The student must show the partial output with the help of Power BI Visualization, saving, sharing the projects, etc.

File format: .pbix file, PDF, Dataset (Through Google Form)

Power BI Driven Exhaustive Analysis of Indian Agriculture Sector - https://forms.gle/Rvden2GAyGGfZiAK7

Exploratory Data Analysis on Space Exploration Missions using Power BI - https://forms.gle/fvuCuYE6qoPVYCYP6

Power BI Enabled Comprehensive Analysis on Unicorn Businesses - https://forms.gle/BNDKtJszT9Qes3di7

Building Customer Segmentation Models using Python - https://forms.gle/iUXF5hJDnwLNYGMC7

Health Care Data Driven Decisions using Power BI - https://forms.gle/Vji22g4Sii6HTvKN8

Week 3: Visualization and Dashboard Preparation

Power BI Analysis – Advanced Visualization
Filters and Slicers
Adding various columns and measures to charts to achieve Project requirements

Week 3:

Prepare Report(s)
Use Advanced filtering techniques, if needed
Prepare the Dashboard

Submission Details:

Expected Content: The Students are expected to prepare various reports that are in tune with the Project requirements, Knowledge of advanced filtering techniques on these charts, and the final dashboard for the Project.

File format: .pbix, pdf, PPT (Through Google Forms)

Power BI Driven Exhaustive Analysis of Indian Agriculture Sector - https://forms.gle/Rvden2GAyGGfZiAK7

Exploratory Data Analysis on Space Exploration Missions using Power BI - https://forms.gle/fvuCuYE6qoPVYCYP6

Power BI Enabled Comprehensive Analysis on Unicorn Businesses - https://forms.gle/BNDKtJszT9Qes3di7

Building Customer Segmentation Models using Python - https://forms.gle/iUXF5hJDnwLNYGMC7

Health Care Data Driven Decisions using Power BI - https://forms.gle/Vji22g4Sii6HTvKN8

Week 4: Formatting and Testing the Project Functionality

Testing and Iteration
Formatting
Submit the Project

Week 4:

Formatting visuals and canvas background.
Approaches of testing strategies.
Cross-checking with functionality
Validation of the Project.

Submission Details:

Expected content: The students must have prepared the final Dash Board with all the visuals properly formatted and the background formatted with a theme. The students must share the final output test results, and project presentation ppt. The students must share screenshots of the project in the form of an image file.

File format: .pbix, pdf, PPT (Through Google Forms)

Power BI Driven Exhaustive Analysis of Indian Agriculture Sector - https://forms.gle/Rvden2GAyGGfZiAK7

Exploratory Data Analysis on Space Exploration Missions using Power BI - https://forms.gle/fvuCuYE6qoPVYCYP6

Power BI Enabled Comprehensive Analysis on Unicorn Businesses - https://forms.gle/BNDKtJszT9Qes3di7

Building Customer Segmentation Models using Python - https://forms.gle/iUXF5hJDnwLNYGMC7

Health Care Data Driven Decisions using Power BI - https://forms.gle/Vji22g4Sii6HTvKN8

Week 5:

Mock Presentations

Week5:

Students should present the project PPT before subject matter experts

Week 6:

Final Presentations

Week 6:

Students should present the project PPT before the EY industry expert panel.

Full Stack Web Development Projects

Music Web Application using Django Framework
News Aggregator using Django Framework
Car Rentals Application with Django Framework
Building Bus Reservation System using Python and Django
Job Portal Application with Django Framework
Notes Sharing Web Application using Django Framework
Voting Web Application using Django Framework

Full Stack Web Development Course Project Approach

(Weekly Progress Report)

Weekly Completion Tasks

Weekly Module Completion Progress

Week 1:

Full Stack development basics
Understanding Django MVT Architecture
Applying Software Engineering principles
Project Planning (Module identification)
Preparations- FE and BE technologies, Requirement gathering and analysis, Design, Implementation, Testing Process, etc.,

Week 1:

Full Stack basic knowledge understanding level
Approaches of SE Principles
Modules – Main module and sub-module contents and implementation idea based on requirements
Create a Basic Project structure with Django

Submission Details:

Keep Ready with all the necessary software Installation & and configuration of Development tools like VS Code, Python, Django Framework, pip, VS code Extensions, etc

The student must share the project aim, requirements, tools usage, minimum requirements (Hardware and software), and brief of modules to be used in a Word document

File format: Word / PDF

Music Web Application using Django Framework - https://forms.gle/DZ6Rnd3g3EyQPCP58

News Aggregator using Django Framework - https://forms.gle/NzQZZA8cn1io3M6h8

Car Rentals Application with Django Framework - https://forms.gle/DD6xg4Jg9iPLHnqt5

Building Bus Reservation System using Python and Django - https://forms.gle/X45zFp1NsLaUV37g9

Job Portal Application with Django Framework - https://forms.gle/6fH8tz2fT8Kz2oWq7

Notes Sharing Web Application using Django Framework- https://forms.gle/F226gHFpFSFsWFTb9

Voting Web Application using Django Framework - https://forms.gle/Rm73kbaTeR7cbEUd9

Week 2:

Client-side technologies – HTML, CSS, Bootstrap, JavaScript, etc.
Create and register Django Templates
Create simple Django Views for rendering HTML pages
Integrating static files in Django Projects

Week 2:

UI Layout design task
Integrating Bootstrap into the project
Adding Bootstrap components
Using Features of Django Templates
User Interaction- Menu-driven, interaction approaches, sequence of a web page, design work, etc.

Submission Details: Screenshots and summary of progress through Google Form

Music Web Application using Django Framework - https://forms.gle/DZ6Rnd3g3EyQPCP58

News Aggregator using Django Framework - https://forms.gle/NzQZZA8cn1io3M6h8

Car Rentals Application with Django Framework - https://forms.gle/DD6xg4Jg9iPLHnqt5

Building Bus Reservation System using Python and Django - https://forms.gle/X45zFp1NsLaUV37g9

Job Portal Application with Django Framework - https://forms.gle/6fH8tz2fT8Kz2oWq7

Notes Sharing Web Application using Django Framework- https://forms.gle/F226gHFpFSFsWFTb9

Voting Web Application using Django Framework - https://forms.gle/Rm73kbaTeR7cbEUd9

Week 3:

Server-side Technologies – Server-side rendering using Django.
Writing business logic inside Views.py, and creating tables in models.py in Django.
Importing and using models inside Views.py

Week 3:

Create & Register Models
Create & and use admin Dashboard
Business Logic implementation task
Showing the Database Structure
Bugs status and solutions

Submission Details: Screenshots and summary of progress through Google Form

Music Web Application using Django Framework - https://forms.gle/DZ6Rnd3g3EyQPCP58

News Aggregator using Django Framework - https://forms.gle/NzQZZA8cn1io3M6h8

Car Rentals Application with Django Framework - https://forms.gle/DD6xg4Jg9iPLHnqt5

Building Bus Reservation System using Python and Django - https://forms.gle/X45zFp1NsLaUV37g9

Job Portal Application with Django Framework - https://forms.gle/6fH8tz2fT8Kz2oWq7

Notes Sharing Web Application using Django Framework- https://forms.gle/F226gHFpFSFsWFTb9

Voting Web Application using Django Framework - https://forms.gle/Rm73kbaTeR7cbEUd9

Week 4:

Integration of Front End and Backend
Using DTL to render data fetched from Models
Reading values from users and storing them in models using function views.
Testing and Deployment of the project

Week 4:

Front End and Back End Integration (Connectivity process)
Approaches of testing strategies
Project Deployment to Cloud

Submission Details: Google Form (Project Folder in .zip format without virtual environment)

Music Web Application using Django Framework - https://forms.gle/DZ6Rnd3g3EyQPCP58

News Aggregator using Django Framework - https://forms.gle/NzQZZA8cn1io3M6h8

Car Rentals Application with Django Framework - https://forms.gle/DD6xg4Jg9iPLHnqt5

Building Bus Reservation System using Python and Django - https://forms.gle/X45zFp1NsLaUV37g9

Job Portal Application with Django Framework - https://forms.gle/6fH8tz2fT8Kz2oWq7

Notes Sharing Web Application using Django Framework- https://forms.gle/F226gHFpFSFsWFTb9

Voting Web Application using Django Framework - https://forms.gle/Rm73kbaTeR7cbEUd9

Week 5:

Mock Presentations

Week5:

Students should present the project PPT before subject matter experts

Week 6:

Final Presentations

Week 6:

Students should present the project PPT before the EY industry expert panel.

Data Analytics
Full Stack Web Development

Power BI Driven Exhaustive Analysis of Indian Agriculture Sector

About the Project

This course will help you to understand the basics of data analytics, power bi and related concepts. In this Project, we will analyze 19 years of Indian agriculture data to find various parameters of crop production, prediction based on past data and Minimum support price for the given crop for the given year. The Project will give you a great learning experience. Let’s start to know more about the project.

Learning Outcomes

Basics of data analytics, power bi and related concepts
Data analytics case study on Indian agriculture sector
- Identifying Top 5 Crops by Production
- Identifying Top 3 States by Production
- Identifying Top 3 Districts by Production
- Identifying Production by different Seasons
- Year wise Production
- Predicting Production for one future year
- Possibility of Minimum Support Price for the given Crop for the given year

Exploratory Data Analysis on Space Exploration Missions using Power BI

About the Project

This course will help you to understand the basics of data analytics, power bi and related concepts. In this Project, we will analyze various space exploration missions, budget involved, success rate of missions, rockets used etc. The Project will give you a great learning experience. Let’s start to know more about the project.

Learning Outcomes

Basics of data analytics, power bi and related concepts
Data analytics case study on Space Exploration Missions
- Track various metrics and dynamics of the Space Missions.
- Overall, Success rate?
- Which Launch station has highest success rate?
- Which Rocket was used mostly?
- Still all the rockets active?

Power BI Enabled Comprehensive Analysis on Unicorn Businesses

About the Project

This course will help you to understand the basics of data analytics, power bi and related concepts. In this project, we will know what a unicorn business is and analyze various businesses to know about ROI, the country which had most Unicorns, Average time to become unicorn etc. The Project will give you a great learning experience. Let’s start to know more about the project.

Learning Outcomes

Basics of data analytics, power bi and related concepts
Data analytics case study on Unicorn Businesses
- Which Company having highest return on investment?
- Which country had most unicorns?
- Which Year has most of the unicorns?
- of Years to become a company to Unicorn?
- Which investor founded most of the Unicorns?

Building Customer Segmentation Models using Python

About the Project

This project will help you to understand the basics of data analytics using Python. You will get a thorough understanding of Customer Segmentation using the K-Means Clustering Technique. Customer segmentation is a crucial aspect of marketing strategy, allowing businesses to tailor their approaches to different groups of customers based on shared characteristics, behaviors, or preferences. Python offers a wide range of tools and libraries that make it ideal for building customer segmentation models.

Learning Outcomes

How to segment customers into distinct groups using K-means, facilitating targeted marketing and personalized strategies.
Implement a system to recommend best-selling products to customers within the same cluster who haven't purchased those products, aiming to boost sales and marketing effectiveness.

Health Care Data Driven Decisions Using Power BI

About the Project

This course will help you to understand the basics of data analytics, power bi and related concepts. In this project, we will know how to analyze the data for getting insights like No. of Patients by age group, on which day more Patients have visited hospitals, Habit wise Diseases etc. The Project will give you a great learning experience. Let’s start to know more about the project.

Learning Outcomes

Basics of data analytics, power bi and related concepts
Data analytics case study on Health Care Data Driven Decisions Using Power BI
- Disease Analysis basing on Smoking Habit
- Disease Analysis basing on Alcohol Habit
- Count of Patients Visit by Week Name
- Count of Patients by Age Group
- Percent of Male and Female Patients
- Avg. duration of Stay in the Hospital etc.

Music Web Application using Django Framework

About the Project

A music streaming application allows music lovers to play any track by any singer right now with just a click. They usually consume few resources, are faster, and provide access to any soundtracks available online. Today Things are different than they used to be, we no longer need to do such stuff to enjoy the music we love.

Learning Outcomes

Learn the fundamentals of Django, including models, views, templates, and the Django ORM (Object-Relational Mapping).
Gain proficiency in designing and managing database models using Django models.
Explore how to handle relationships between models (e.g., one-to-many, many-to-many) to represent music-related entities like artists, albums, and tracks.
Implement user authentication to allow users to create accounts, log in, and log out.
Learn to handle and store media files such as music tracks and album cover images.
Create RESTful APIs using Django REST Framework to expose functionalities like fetching artist information, album details, and track listings.
Integrate audio playback functionality, allowing users to listen to music directly on the platform.
Learn about scaling considerations, especially when dealing with media files and potential high traffic.

About the Project

The news aggregator project aims to create a centralized platform that curates and organizes news articles and updates from various sources across the internet. It is being developed to address the growing need for a consolidated and user-friendly platform that offers reliable and diverse news content. By aggregating news from multiple sources, the project seeks to provide users with a comprehensive overview of current events, trends, and topics of interest, thereby enabling informed decision-making and fostering a deeper understanding of global affairs. Through advanced algorithms and user preferences, the aggregator aims to personalize content delivery, enhancing user experience and engagement with the news. And this course will help you to understand the basics of HTML, CSS, JavaScript, Python, Django, and related concepts.

Learning Outcomes

Seamless integration of front-end and back-end technologies to create a cohesive platform.
Development of a dynamic and user-friendly news aggregation platform.
Responsive user interface design to ensure smooth browsing, searching, and accessing of news content.
Real-time updates ensure timely delivery of relevant news to users.

About the Project

The Car Rentals Application with Django Framework project aims to create a comprehensive platform for managing and organizing car rental services. Developed to address the increasing demand for streamlined and user-friendly car rental solutions, this project will equip you with the skills to implement a robust system that caters to various aspects of the car rental process. By combining Python and Django, we leverage the power of a full-stack framework to create a dynamic and responsive platform for users.

Learning Outcomes

Understand the setup and management of Django projects and apps.
Learn to implement user roles and permissions for the Car Rentals Application with Django Framework platform, including the creation of a user-friendly dashboard.
Gain proficiency in creating web page templates using HTML, CSS, JavaScript, Python, and Django.

Building Bus Reservation System using Python and Django

About the Project

The Bus Reservation System using Django is envisioned as a comprehensive web-based application with the primary objective of simplifying and automating the bus ticket reservation process. The system will provide passengers with a user-friendly interface allowing them to effortlessly search, book, and manage bus tickets. On the administrative side, a robust dashboard will offer tools for managing bus schedules, routes, reservations, and user accounts. leveraging Django's MVC architecture, the system will be scalable, modular, and maintainable. Key features include real-time seat availability updates, e-ticket generation, and detailed reporting for administrators.

Learning Outcomes

Understand the setup and management of Django projects and apps
Learn to implement user roles and permissions for Bus reservation system, platform creation, and dashboard.
Gain proficiency in creating web page templates.

Job Portal Application with Django Framework

About the Project

This project will help you to understand the basics of HTML,CSS,JS ,Python,Djangoand related concepts The project aims to create a comprehensive system that allows job seekers to search for relevant positions, apply seamlessly, and manage their applications. Through the Django Framework, this project aspires to deliver a scalable, secure, and efficient solution for modernizing the job portal experience for both job seekers and employers.

Learning Outcomes

Understand the setup and management of Django projects and apps
Learn to implement user roles and permissions for job applying , platform creation, and dashboard.
Gain proficiency in creating web page templates using HTML, CSS ,JS,Python and Django

Building Notes Sharing App for Academician using Django Framework

About the Project

The project aims to develop a comprehensive Notes Sharing App tailored specifically for academicians, leveraging the powerful Django framework for web development. This application seeks to address the challenges faced by academicians in accessing, organizing, and sharing educational materials and research resources efficiently. By providing a centralized platform, the app will enable users to create, categorize, and share notes, papers, presentations, and other academic resources seamlessly.

With a user-friendly interface and responsive design, the app aims to enhance accessibility across various devices and screen sizes. Ultimately, the project aims to revolutionize academic knowledge sharing, fostering collaboration, innovation, and advancement in research and education.

Learning Outcomes

Understand the setup and management of Django projects and apps
Learn to implement user roles, permissions, platform creation and dashboard.
Gain proficiency in creating web page templates using HTML, CSS ,JS,Python and Django

Voting Web Application using DJango Framework

About the Project

The primary goal of our project is to develop a user-friendly and secure Voting Web Application using the Django framework. This application will serve as a centralized platform for organizations, communities, and individuals to create, manage, and participate in online polls.

Learning Outcomes

Creating Django Project and Django Applications
Understand the Setup , Organizing and Building Django Projects
Understand Routing , Project Hierarchy , URL Patterns .
How to Write views and Functions
How to Create & Register Django Models and Databases
Clear idea about super user , migrations and Django panels
Creating HTML Pages and using them and Templates

AICTE EY-GDS Internship December’23

Self-Paced Study Material for Internship

Python

Introduction to Python: Python, created by Guido van Rossum, is a versatile programming language widely used for web development, data analysis, artificial intelligence, and more.

Setting up your Python environment: Choose an Integrated Development Environment (IDE) like Jupyter or VSCode and install libraries using package managers like pip to set up your Python environment efficiently.

Data types and variables: Python supports various data types such as numbers, strings, lists, and dictionaries, providing flexibility for diverse programming needs.

Operators and expressions: Python offers a range of operators, including arithmetic, comparison, and logical operators, allowing concise expression of complex operations.

Conditional statements: Employ conditional statements like if, Elif, and else to execute specific code blocks based on different conditions in your Python programs.

Looping constructs: Utilize looping constructs, such as for and while loops, to iterate through data structures or execute a set of instructions repeatedly.

Functions: Define functions to encapsulate reusable code, pass arguments, and return values, promoting code modularity and readability in Python.

Basic data structures: Python's fundamental data structures, including lists, tuples, and dictionaries, empower efficient storage and manipulation of data in various formats.

Data manipulation: Master data manipulation techniques like indexing, slicing, and iterating to extract and transform data effectively in Python.

Working with files: Learn file handling in Python for tasks like reading, writing, and processing data from external files.

Introduction to modules and libraries: Leverage powerful Python libraries like NumPy for numerical computing and Pandas for data manipulation and analysis to enhance your coding capabilities.

Resources:

Interactive Python Tutorial: https://www.learnpython.org/
Official Python Documentation: https://docs.python.org/
Crash Course Python for Data Science: https://www.dataquest.io/course/introduction-to-python/
Python for Beginners Tutorial: https://www.w3schools.com/python/
Python Programming Projects: https://codedamn.com/news/python/100-python-projects-for-practice

Power BI

What is Power BI (Business Intelligence):

Imagine a toolbox that helps you turn a jumble of raw data, from spreadsheets to cloud databases, into clear, visually stunning insights. That's Microsoft Power BI in a nutshell! It's a suite of software and services that lets you connect to various data sources, clean and organize the information, and then bring it to life with interactive charts, graphs, and maps. Think of it as a powerful storyteller for your data, helping you uncover hidden trends, track progress toward goals, and make informed decisions.

Useful Links for Self-Study:

Javascript

JAVASCRIPT:

JavaScript is the world's most popular programming language.
JavaScript is the programming language of the Web.
JavaScript is easy to learn.
This tutorial will teach you JavaScript from basic to advanced.
JavaScript (JS) is a cross-platform, object-oriented programming language used by developers to make web pages interactive.
It allows developers to create dynamically updating content, use animations, pop-up menus, clickable buttons, control multimedia, etc.

The use of JavaScript can be both on the client side and server side. While HTML and CSS languages are used to give structure and style to web pages, JavaScript is used to add interactive elements that engage users.
Without JavaScript, 90% of Internet webpages would be static.

JAVASCRIPT Useful links
No	Topic	Link
1.	Introduction	https://careerfoundry.com/en/tutorials/web-development-for-beginners/an-introduction-to-javascript/
2.	Syntax	https://www.tutorialspoint.com/javascript/javascript_syntax.htm
3.	Variables and keywords	https://www.tutorialspoint.com/javascript/javascript_variables.htm
4.	Data Types	https://www.w3schools.com/js/js_datatypes.asp
5.	Operators	https://www.w3schools.com/js/js_operators.asp
6.	If else	https://www.tutorialspoint.com/javascript/javascript_ifelse.htm
7.	Switch case	https://www.tutorialspoint.com/javascript/javascript_switch_case.htm
8.	Loop	https://www.geeksforgeeks.org/7-loops-of-javascript/?ref=lbp
9.	Statement	https://www.w3schools.com/js/js_statements.asp
10.	Math object	https://www.geeksforgeeks.org/javascript-math-object/?ref=lbp
11.	Functions	https://www.tutorialspoint.com/javascript/javascript_functions.htm
12.	Objects	https://www.geeksforgeeks.org/objects-in-javascript/?ref=lbp
13.	Arrays	https://www.geeksforgeeks.org/javascript-arrays/?ref=lbp
14.	Events	https://www.tutorialspoint.com/javascript/javascript_events.htm
15.	DOM Manipulation	https://www.w3schools.com/js/js_htmldom.asp
16.	Asynchronous JavaScript	https://www.w3schools.com/js/js_asynchronous.asp
17.	Error Handling	https://www.tutorialspoint.com/javascript/javascript_error_handling.htm
18.	Closures and Scope	https://www.freecodecamp.org/news/scope-and-closures-in-javascript/
19.	Modules and ES6 Features	https://www.javatpoint.com/es6-modules#:~:text=Modules%20are%20the%20piece%20or,reuse%20the%20piece%20of%20code.
20.	Animation	https://www.tutorialspoint.com/javascript/javascript_animation.htm
21.	Page redirect	https://www.tutorialspoint.com/javascript/javascript_page_redirect.htm
22.	Validation	https://www.tutorialspoint.com/javascript/javascript_form_validations.htm
23.	Dialog box	https://www.tutorialspoint.com/javascript/javascript_dialog_boxes.htm
24.	Performance and debugging	https://www.geeksforgeeks.org/javascript-performance/?ref=lbp
25.	Function generator	https://www.geeksforgeeks.org/javascript-function-generator/?ref=lbp
26.	Object	https://www.w3schools.com/js/js_object_definition.asp
27.	Class	https://www.w3schools.com/js/js_class_intro.asp
28.	BOM	https://www.w3schools.com/js/js_window.asp
29.	Web API	https://www.w3schools.com/js/js_api_intro.asp

S.NO	Practice purpose - Sample Projects for HTML, CSS & and Javascript
1	https://github.com/solygambas/html-css-javascript-projects
2	https://emeritus.org/blog/coding-javascript-project-ideas/
3	https://mikkegoes.com/javascript-projects-for-beginners/
4	https://www.freecodecamp.org/news/javascript-projects-for-beginners/
5	https://skillcrush.com/blog/projects-you-can-do-with-javascript/
6	https://www.guvi.in/blog/best-javascript-project-ideas/
7	https://codingtorque.com/50-javascript-projects-with-source-code/
8	https://dev.to/nehasoni__/25-javascript-project-with-source-code-to-build-your-skills-18e7
9	https://www.codewithrandom.com/2023/11/21/frontend-projects-source-code/
10	https://www.kashipara.com/project/category/latest_javascript-project-source-code_9
11	https://code-projects.org/c/languages/project/jsprojects/
12	https://codewithcurious.com/web-developement-projects/
13	https://code-projects.org/c/html-projects/

Exploratory Data Analytics (EDA)

Introduction to EDA: Exploratory Data Analysis (EDA) involves systematically analyzing and visualizing data to discover patterns, anomalies, and insights, playing a crucial role in understanding the underlying structure of the data.

Importing and loading data: Data can be imported into Python using various formats such as CSV, Excel, or SQL, providing a foundation for EDA and subsequent analysis.

Data cleaning and preprocessing: Cleaning and preprocessing steps, including handling missing values, outliers, and inconsistencies, are essential for ensuring the accuracy and reliability of the data.

Descriptive statistics: Descriptive statistics, encompassing measures of central tendency and dispersion, offer a summary of the main characteristics of the dataset.

Data visualization: Visualizations like histograms, boxplots, and scatter plots provide a powerful means to explore data distributions, relationships, and outliers, enhancing the interpretability of the dataset.

Identifying patterns and relationships: EDA enables the identification of patterns and relationships within the data, helping to uncover hidden insights and guide subsequent analysis.

Univariate and bivariate analysis: Univariate analysis focuses on individual variables, while bivariate analysis explores relationships between pairs of variables, offering a comprehensive understanding of the dataset's structure.

Feature engineering: Feature engineering involves creating new features from existing data, and enhancing the dataset with additional information to improve the performance of machine learning models.

Hypothesis generation: EDA findings often lead to hypothesis generation, fostering a deeper understanding of the data and guiding further research questions or analytical approaches.

Resources:

DataCamp's Exploratory Data Analysis with Python: https://www.datacamp.com/courses/introduction-to-data-science-in-python
Pandas Tutorial for Data Analysis: https://pandas.pydata.org/docs/getting_started/intro_tutorials/
Seaborn Data Visualization Tutorial: https://seaborn.pydata.org/tutorial.html
Hands-On Exploratory Data Analysis with Python: https://www.oreilly.com/library/view/python-for-data/9781449323592/
Exploratory Data Analysis for Real-World Projects: https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2

Django Framework

Django is a high-level Python web framework that follows the model-view-controller (MVC) architectural pattern. It provides a robust set of tools and features for building web applications quickly and efficiently. Django follows the principle of "Don't Repeat Yourself" (DRY) and promotes the use of reusable components, making it highly scalable and maintainable.

One of the key features of Django is its object-relational mapping (ORM) layer, which allows developers to interact with databases using Python objects instead of writing SQL queries. This simplifies database operations and reduces the amount of code needed. Django also includes a built-in administration interface that automatically generates forms and views for managing database records.

Django follows a URL routing system, where URLs are mapped to specific views or functions. It provides a powerful template engine that allows developers to separate the presentation logic from the business logic, making it easier to design and maintain the user interface. Django also supports internationalization and localization, making it suitable for building multilingual websites.

Django is known for its emphasis on security. It includes built-in protection against common web vulnerabilities, such as cross-site scripting (XSS) and cross-site request forgery (CSRF). It also provides features like user authentication and authorization, password hashing, and secure session management.

Django has a vibrant and active community, with a vast ecosystem of third-party packages and extensions. It follows the open-source philosophy and is continuously updated and improved by a dedicated team of developers. Django is widely used by organizations of all sizes, from small startups to large enterprises, to build a wide range of web applications, including content management systems, e-commerce platforms, and social networks.

Django Official Documentation: The official documentation is the best place to start learning Django. It provides a comprehensive guide, tutorials, and examples. You can find it at: https://docs.djangoproject.com/

Django for Beginners: It covers the basics of Django, including setting up a project, creating models, views, and templates, handling forms, and deploying a Django app. You can find it at https://www.w3schools.com/django/

Django Girls Tutorial: It includes step-by-step instructions and examples. You can find it at: https://tutorial.djangogirls.org/

Django Crash Course: It covers the fundamentals of Django, including models, views, templates, forms, and authentication. It also includes exercises and projects to practice your skills. You can find it at: https://www.freecodecamp.org/news/python-django-course/

Django YouTube Channels: Dennis Ivy's Django series (https://www.youtube.com/playlist?list=PL-51WBLyFTg2vW-6XBoUpE7vpmoR3ztO)).

Data Visualization

Principles of data visualization: Effective data visualizations prioritize clarity, ensuring that the intended message is easily understandable, and accurate, representing data truthfully and without distortion.

Choosing the right chart: Select appropriate chart types, such as bar charts, pie charts, line charts, or maps, based on the nature of your data and the insights you aim to convey.

Matplotlib and Seaborn libraries: Matplotlib and Seaborn are powerful Python libraries for creating both simple and advanced visualizations, providing flexibility and customization options.

Customizing visuals: Customize visual elements, including colors, labels, axes, and titles, to enhance the overall aesthetics and effectiveness of your data visualizations.

Interactive visualizations: Utilize libraries like Plotly and Bokeh to create interactive visualizations, allowing users to engage with and explore data dynamically. 

Data storytelling: Data storytelling involves using visuals as a narrative tool to communicate insights effectively, making data more accessible and compelling for a broader audience.

Best practices for presenting visualizations: When presenting data visualizations, adhere to best practices such as providing context, focusing on key insights, and ensuring clarity to effectively convey the intended message.

Resources:

Matplotlib Tutorial: https://matplotlib.org/
Seaborn Tutorial: https://seaborn.pydata.org/tutorial.html
Plotly Python Tutorial: https://plotly.com/python/
Bokeh Python Library: https://docs.bokeh.org/en/latest/
Storytelling with Data: https://www.storytellingwithdata.com/
Effective Data Visualization with Python: https://www.datacamp.com/tracks/data-visualization-with-python

CSS

CSS, or Cascading Style Sheets, is a stylesheet language used to describe the presentation of a document written in HTML or XML. CSS defines the visual style and layout of elements on a web page, allowing you to control things like fonts, colors, spacing, and positioning
CSS is the language we use to style an HTML document.
CSS describes how HTML elements should be displayed.
This tutorial will teach you CSS from basic to advanced.

CSS Useful links
No	Topic	Link
1.	Introductions	https://www.w3schools.com/css/css_intro.asp
2.	Syntax	https://www.w3schools.com/css/css_syntax.asp
3.	Selector	https://web.dev/learn/css/selectors?continue=https%3A%2F%2Fweb.dev%2Flearn%2Fcss%23article-https%3A%2F%2Fweb.dev%2Flearn%2Fcss%2Fselectors
4.	Cascading	https://web.dev/learn/css/the-cascade
5.	Specificity	https://web.dev/learn/css/specificity
6.	Margin and Padding	https://www.geeksforgeeks.org/css-margins-padding/?ref=lbp
7.	Background	https://www.tutorialspoint.com/css/css_backgrounds.htm
8.	Links	https://www.geeksforgeeks.org/css-links/?ref=lbp
9.	Inheritance	https://web.dev/learn/css/inheritance
10.	Color	https://www.tutorialspoint.com/css/css_colors.htm
11.	Tables	https://www.tutorialspoint.com/css/css_tables.htm
12.	Cursor	https://www.javatpoint.com/css-cursor
13.	Button	https://www.javatpoint.com/css-buttons
14.	Border	https://www.javatpoint.com/css-border
15.	Box model	https://web.dev/learn/css/box-model?continue=https%3A%2F%2Fweb.dev%2Flearn%2Fcss%23article-https%3A%2F%2Fweb.dev%2Flearn%2Fcss%2Fbox-model
16.	Z- index	https://www.w3schools.com/css/css_z-index.asp
17.	Dropdown	https://www.geeksforgeeks.org/css-dropdowns/?ref=lbp
18.	Website layout	https://www.w3schools.com/css/css_website_layout.asp
19.	Positioning	https://www.geeksforgeeks.org/css-positioning-elements/?ref=lbp
20.	Navigator bar	https://www.w3schools.com/css/css_navbar.asp
21.	Forms	https://www.w3schools.com/css/css_form.asp
22.	Responsive	https://www.w3schools.com/css/css_rwd_intro.asp
23.	Transitions	https://w3schools.com/css/css3_transitions.asp
24.	Animations	https://www.w3schools.com/css/css3_animations.asp
25.	Outline	https://www.w3schools.com/css/css_outline.asp
26.	Grid	https://www.w3schools.com/css/css_grid.asp
27.	Templates	https://www.w3schools.com/css/css_templates.asp
28.	Dimensions	https://www.tutorialspoint.com/css/css_dimension.htm

S.NO	Practice purpose - Sample Projects for HTML & CSS
1	https://www.geeksforgeeks.org/top-10-projects-for-beginners-to-practice-html-and-css-skills/
2	https://www.kashipara.com/project/category/download_html-css-template-project-source-code_8
3	https://www.codewithrandom.com/2023/11/14/html-css-project-ideas-by-code-with-random/
4	https://www.kashipara.com/project/category/latest_html-css-template-project-source-code_8
5	https://shihabiiuc.com/html-css-projects/
6	https://github.com/topics/html-css-project
7	https://www.codepel.com/category/html-css/page/2/
8	https://www.javaassignmenthelp.com/blog/html-css-project-ideas/
9	https://altcampus.com/posts/list-of-simple-projects-to-build-to-learn-and-be-good-at-html-and-css

FAQs

1. Will we get LOR for this Internship, or will I get any job opportunity?

No LOR will be provided, and we are not promising any job opportunities.

2. Do I need to pay to participate in this internship?

No, the internship is completely free of cost

3. Will I get a stipend?

No, the stipend will not be provided

4. Do we have classes every day and can session timing be changed?

Students will be engaged twice a week and session timings cannot be changed.

5. We have exams, can we submit the project later?

No, you cannot submit the project at later stages