Python Internship Opportunity!
Company: Internship Mela
Position: Python Intern
Skills: HTML, CSS, Python, Django, JavaScript, Angular, React, jQuery, PHP, Node.js
Location: Work From Home
Experience: No prior experience required
Duration: 4 months
Internship Timing: Part Time
Stipend: ₹12,000 – ₹15,000 per month
Apply here: Click Here To Apply
Company: Internship Mela
Position: Python Intern
Skills: HTML, CSS, Python, Django, JavaScript, Angular, React, jQuery, PHP, Node.js
Location: Work From Home
Experience: No prior experience required
Duration: 4 months
Internship Timing: Part Time
Stipend: ₹12,000 – ₹15,000 per month
Apply here: Click Here To Apply
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Free Notes.zip
278.6 MB
📌 List of Resources👇:
1. DATA SCIENCE INTERVIEW PREPARATION - PANDAS
2. DATA SCIENCE INTERVIEW PREPARATION - PYTHON
3. 100 Questions to Master DSA ✨
4. Data Structure and Algorithms Handwritten Notes
5. Data Structures and Algorithms
6. Data Structures
7. DSA_Book
8. Java_Complete_Notes
9. ML Cheatsheet
10. Python-and-ML-MCQ
11. SQL Handwritten Notes
12. AI Handwritten Notes
13. ML Handwritten Notes
1. DATA SCIENCE INTERVIEW PREPARATION - PANDAS
2. DATA SCIENCE INTERVIEW PREPARATION - PYTHON
3. 100 Questions to Master DSA ✨
4. Data Structure and Algorithms Handwritten Notes
5. Data Structures and Algorithms
6. Data Structures
7. DSA_Book
8. Java_Complete_Notes
9. ML Cheatsheet
10. Python-and-ML-MCQ
11. SQL Handwritten Notes
12. AI Handwritten Notes
13. ML Handwritten Notes
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Forwarded from Career.Hubb 💼✨
Data Science Internship Opportunity!
Company: Internship Mela
Position: Data Science Intern
Skills: Python, R, SQL, Machine Learning Algorithms
Location: Work From Home
Experience: Bachelor’s degree in Computer Science or a related field
Apply here: Click Here to Apply
Company: Internship Mela
Position: Data Science Intern
Skills: Python, R, SQL, Machine Learning Algorithms
Location: Work From Home
Experience: Bachelor’s degree in Computer Science or a related field
Apply here: Click Here to Apply
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Forwarded from Career.Hubb 💼✨
Data Analyst Internship Opportunity!
Company: Auronova Consulting
Position: Data Analyst Intern
Skills: Excel, Analytical Thinking, Problem-Solving, English Proficiency
Location: Work From Home
Experience: Not required
Apply here: Click Here To Apply!
Company: Auronova Consulting
Position: Data Analyst Intern
Skills: Excel, Analytical Thinking, Problem-Solving, English Proficiency
Location: Work From Home
Experience: Not required
Apply here: Click Here To Apply!
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Forwarded from Career.Hubb 💼✨
Generative AI Internship Opportunity!
Company: Saathi. app
Position: GenAI Intern
Skills: Flutter, MySQL, AWS, Node.js, TensorFlow, PyTorch, NLP, Python, Dart
Location: Work From Home
Experience: No prior experience required
Duration: 3 months
Stipend: ₹30,000 – ₹50,000 per month
Apply here: Click here to Apply!
Company: Saathi. app
Position: GenAI Intern
Skills: Flutter, MySQL, AWS, Node.js, TensorFlow, PyTorch, NLP, Python, Dart
Location: Work From Home
Experience: No prior experience required
Duration: 3 months
Stipend: ₹30,000 – ₹50,000 per month
Apply here: Click here to Apply!
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Supercharge Your Resume & Land Your dream job with these Python projects:
1️⃣ Scraping Stock Prices from Yahoo Finance 💹: Learn to scrape stock prices from Yahoo Finance using Python. ✅
Link: https://www.youtube.com/watch?v=c09sDpzlB2k
2️⃣ Credit Card Approval Prediction 💳: Predict credit card approval using machine learning techniques. ✅
Link: https://www.youtube.com/watch?v=KZqP25FX8w8
3️⃣ Building a Chat Bot from Scratch 💬: Develop a chatbot from scratch with Python programming. ✅
Link: https://www.youtube.com/watch?v=JzPgeRJfNo4
4️⃣ Detecting Fake News with Python 📰: Build a model to detect fake news articles using Python. ✅
Link: https://www.youtube.com/watch?v=U6ieiJAhXQ4
5️⃣ Music Recommendation System 🎵: Create a system to recommend music based on user preferences. ✅
Link: https://www.youtube.com/watch?v=FV3IvHeuH_k
6️⃣ Email Spam Filtering 📧: A project to classify emails as spam or not spam using Python. ✅
Link: https://www.youtube.com/watch?v=YncZ0WwxyzU
Thank you for supporting us! 🤌🫣
Give your Feedback regarding this post, by Giving Reactions to This post!! ✌️🤩
1️⃣ Scraping Stock Prices from Yahoo Finance 💹: Learn to scrape stock prices from Yahoo Finance using Python. ✅
Link: https://www.youtube.com/watch?v=c09sDpzlB2k
2️⃣ Credit Card Approval Prediction 💳: Predict credit card approval using machine learning techniques. ✅
Link: https://www.youtube.com/watch?v=KZqP25FX8w8
3️⃣ Building a Chat Bot from Scratch 💬: Develop a chatbot from scratch with Python programming. ✅
Link: https://www.youtube.com/watch?v=JzPgeRJfNo4
4️⃣ Detecting Fake News with Python 📰: Build a model to detect fake news articles using Python. ✅
Link: https://www.youtube.com/watch?v=U6ieiJAhXQ4
5️⃣ Music Recommendation System 🎵: Create a system to recommend music based on user preferences. ✅
Link: https://www.youtube.com/watch?v=FV3IvHeuH_k
6️⃣ Email Spam Filtering 📧: A project to classify emails as spam or not spam using Python. ✅
Link: https://www.youtube.com/watch?v=YncZ0WwxyzU
Thank you for supporting us! 🤌🫣
Give your Feedback regarding this post, by Giving Reactions to This post!! ✌️🤩
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30-Day Python Learning Roadmap for Data Analysis 😄👇
Days 1-5: Get Started with Python
Day 1: Install Python and a code editor (try Anaconda or Jupyter Notebook).
Days 2-5: Learn the basics of Python:
🟢 Understand variables and data types.
🔵 Practice basic operations (addition, subtraction, etc.).
Days 6-10: Control Flow and Functions
Days 6-8: Learn about control flow:
⚪️ Use if statements to make decisions.
🟠 Understand loops (for and while) to repeat tasks.
Days 9-10: Discover functions:
🟡 Learn how to create and use functions.
🟣 Understand modules and how to import them.
Days 11-15: Data Structures
Days 11-12: Explore these data structures:
🟤 Lists: ordered collections.
🔴 Tuples: immutable ordered collections.
🟡 Dictionaries: key-value pairs.
Days 13-15: Study:
🟢 Sets: unique collections of items.
🔵 String manipulation: working with text data.
Days 16-20: Libraries for Data Analysis
Days 16-17: Get to know NumPy:
🌟 Perform numerical operations efficiently.
Days 18-19: Dive into Pandas:
📊 Learn to manipulate and analyze data.
Day 20: Start with basic data visualization using Matplotlib:
📈 Create simple charts and plots.
Days 21-25: Data Cleaning and Analysis
Days 21-22: Practice data cleaning:
🧹 Use Pandas to prepare your data for analysis.
Days 23-25: Explore data analysis techniques:
🔍 Learn about exploratory data analysis (EDA).
Days 26-30: Advanced Topics
Days 26-27: Learn about data visualization with Seaborn:
🎨 Create more advanced visualizations.
Days 28-29: Get an introduction to machine learning with Scikit-Learn:
🤖 Understand basic concepts and algorithms.
Day 30: Work on a small data analysis project:
💻 Apply everything you’ve learned!
Additional Resources
📚 Use Kaggle to find datasets for your projects.
🧑💻 Check out GeeksforGeeks to practice coding problems.
ENJOY LEARNING 👍✌️
Give your Feedback regarding this post, by Giving Reactions to This post!! ✌️🤩
Days 1-5: Get Started with Python
Day 1: Install Python and a code editor (try Anaconda or Jupyter Notebook).
Days 2-5: Learn the basics of Python:
🟢 Understand variables and data types.
🔵 Practice basic operations (addition, subtraction, etc.).
Days 6-10: Control Flow and Functions
Days 6-8: Learn about control flow:
⚪️ Use if statements to make decisions.
🟠 Understand loops (for and while) to repeat tasks.
Days 9-10: Discover functions:
🟡 Learn how to create and use functions.
🟣 Understand modules and how to import them.
Days 11-15: Data Structures
Days 11-12: Explore these data structures:
🟤 Lists: ordered collections.
🔴 Tuples: immutable ordered collections.
🟡 Dictionaries: key-value pairs.
Days 13-15: Study:
🟢 Sets: unique collections of items.
🔵 String manipulation: working with text data.
Days 16-20: Libraries for Data Analysis
Days 16-17: Get to know NumPy:
🌟 Perform numerical operations efficiently.
Days 18-19: Dive into Pandas:
📊 Learn to manipulate and analyze data.
Day 20: Start with basic data visualization using Matplotlib:
📈 Create simple charts and plots.
Days 21-25: Data Cleaning and Analysis
Days 21-22: Practice data cleaning:
🧹 Use Pandas to prepare your data for analysis.
Days 23-25: Explore data analysis techniques:
🔍 Learn about exploratory data analysis (EDA).
Days 26-30: Advanced Topics
Days 26-27: Learn about data visualization with Seaborn:
🎨 Create more advanced visualizations.
Days 28-29: Get an introduction to machine learning with Scikit-Learn:
🤖 Understand basic concepts and algorithms.
Day 30: Work on a small data analysis project:
💻 Apply everything you’ve learned!
Additional Resources
📚 Use Kaggle to find datasets for your projects.
🧑💻 Check out GeeksforGeeks to practice coding problems.
ENJOY LEARNING 👍✌️
Give your Feedback regarding this post, by Giving Reactions to This post!! ✌️🤩
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Forwarded from Career.Hubb 💼✨
Company: RiseUpp
Position: Data Science Intern
Location: Work From Home
Duration: 3 months
Stipend: ₹30,000 per month
Internship Timing: Full Time
Working Days: 5 Days a week
Apply Here: Click Here to Apply!
Position: Data Science Intern
Location: Work From Home
Duration: 3 months
Stipend: ₹30,000 per month
Internship Timing: Full Time
Working Days: 5 Days a week
Apply Here: Click Here to Apply!
🚀 Top 5 Websites to Learn Coding 10x Faster in 2024!
Mimo: Fun, bite-sized coding exercises to learn programming.
URL: https://mimo.org
Sololearn: Interactive lessons for learning various programming languages.
URL: https://www.sololearn.com
Codecademy: Hands-on coding practice and real projects for faster learning.
URL: https://www.codecademy.com
Daily.dev: Stay updated with the latest coding news and resources.
URL: https://daily.dev
Khan Academy: Learn computer science fundamentals through expert-led courses.
URL: https://www.khanacademy.org
For more coding tips and resources, follow @pycode_hubb! 🚀
Mimo: Fun, bite-sized coding exercises to learn programming.
URL: https://mimo.org
Sololearn: Interactive lessons for learning various programming languages.
URL: https://www.sololearn.com
Codecademy: Hands-on coding practice and real projects for faster learning.
URL: https://www.codecademy.com
Daily.dev: Stay updated with the latest coding news and resources.
URL: https://daily.dev
Khan Academy: Learn computer science fundamentals through expert-led courses.
URL: https://www.khanacademy.org
For more coding tips and resources, follow @pycode_hubb! 🚀
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Forwarded from Career.Hubb 💼✨
Company: Emoolar
Position: Cyber Security Intern
Location: Work From Home
Duration: 1 month
Experience: No prior experience required
Stipend: ₹3,000 per month
Internship Timing: Part Time
Working Days: 5 Days a week
Apply: Click Here to Apply!
Position: Cyber Security Intern
Location: Work From Home
Duration: 1 month
Experience: No prior experience required
Stipend: ₹3,000 per month
Internship Timing: Part Time
Working Days: 5 Days a week
Apply: Click Here to Apply!
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Forwarded from Career.Hubb 💼✨
Company: BreakoutAI
Position: Machine Learning Intern
Location: Work From Home
Duration: 4 months
Stipend: ₹10,000 – ₹30,000 per month
Internship Timing: Full Time
Working Days: 5 Days a week
Apply: Click Here to Apply!
Position: Machine Learning Intern
Location: Work From Home
Duration: 4 months
Stipend: ₹10,000 – ₹30,000 per month
Internship Timing: Full Time
Working Days: 5 Days a week
Apply: Click Here to Apply!
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Forwarded from Career.Hubb 💼✨
Company: Happieloop Technologies
Position: Data Science Intern
Location: Work From Home
Internship Timing: Full Time
Working Days: 5 Days a week
Apply Here: Click Here to Apply!
Position: Data Science Intern
Location: Work From Home
Internship Timing: Full Time
Working Days: 5 Days a week
Apply Here: Click Here to Apply!
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ATS Friendly Resume.pdf
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Roadmap to Become Web3 Developer :
📂 Learn HTML
∟📂 Learn CSS
∟📂 Learn JavaScript
∟📂 Learn React
∟📂 Learn Solidity
∟📂 Learn Ether.js
∟📂 Learn L2
∟📂 Build Projects
∟ ✅ Start Applying for Job’s
📂 Learn HTML
∟📂 Learn CSS
∟📂 Learn JavaScript
∟📂 Learn React
∟📂 Learn Solidity
∟📂 Learn Ether.js
∟📂 Learn L2
∟📂 Build Projects
∟ ✅ Start Applying for Job’s
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Link - https://internshala.com/
🎯 2. LetsIntern - LetsIntern is another popular platform that connects students and employers for internship opportunities. It covers a wide range of industries and sectors.
Link - https://letsintern.in/
🎯 3. LinkedIn - LinkedIn is not only a professional networking platform but also a hub for job and internship opportunities. Many companies post internship openings directly on LinkedIn.
Link - https://in.linkedin.com/
🎯 4. Indeed - Indeed is a job search engine that also features internship listings. It aggregates internship opportunities from various sources, including company websites and job boards.
Link - https://in.indeed.com/m/
Link - https://internshala.com/
🎯 2. LetsIntern - LetsIntern is another popular platform that connects students and employers for internship opportunities. It covers a wide range of industries and sectors.
Link - https://letsintern.in/
🎯 3. LinkedIn - LinkedIn is not only a professional networking platform but also a hub for job and internship opportunities. Many companies post internship openings directly on LinkedIn.
Link - https://in.linkedin.com/
🎯 4. Indeed - Indeed is a job search engine that also features internship listings. It aggregates internship opportunities from various sources, including company websites and job boards.
Link - https://in.indeed.com/m/
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🎯 5. Twenty 19 - It is a platform that offers internships, online courses, and projects for students. It covers internships across multiple disciplines, including engineering, management, and design.
Link - http://twenty19.com.testednet.com/
🎯 6. AngelList - AngelList is primarily known for startup jobs and investments, but it also features internship opportunities at startups in India. It's a great platform for students interested in gaining experience at innovative startups.
Link - https://wellfound.com/
🎯 7. Youth4work - Youth4work offers internships, skills, asessments, and career guidance for students and young professionals. It provides internship opportunities across various sectors and allows users to showcase their skills.
Link - https://www.youth4work.com/
🎯 8. Glassdoor - It offers job listings and company ratings, making it a valuable resource for job seekers and those looking to understand more about potential employers.
Link - https://www.glassdoor.co.in/index.htm
🎯 9. IdeaList - It features job listings, internships, and volunteer opportunities with nonprofit organizations, social enterprises, and other entities focused on social good.
Link - https://www.idealist.org/en
🎯 10. Nokri.com - Naukri is a recruitment platform that provides hiring-related services to corporates/recruiters, placement agencies, and job seekers in India and overseas.
Link - https://www.naukri.com/
Link - http://twenty19.com.testednet.com/
🎯 6. AngelList - AngelList is primarily known for startup jobs and investments, but it also features internship opportunities at startups in India. It's a great platform for students interested in gaining experience at innovative startups.
Link - https://wellfound.com/
🎯 7. Youth4work - Youth4work offers internships, skills, asessments, and career guidance for students and young professionals. It provides internship opportunities across various sectors and allows users to showcase their skills.
Link - https://www.youth4work.com/
🎯 8. Glassdoor - It offers job listings and company ratings, making it a valuable resource for job seekers and those looking to understand more about potential employers.
Link - https://www.glassdoor.co.in/index.htm
🎯 9. IdeaList - It features job listings, internships, and volunteer opportunities with nonprofit organizations, social enterprises, and other entities focused on social good.
Link - https://www.idealist.org/en
🎯 10. Nokri.com - Naukri is a recruitment platform that provides hiring-related services to corporates/recruiters, placement agencies, and job seekers in India and overseas.
Link - https://www.naukri.com/
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