Artificial Intelligence & ChatGPT Prompts
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🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data
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Red:📈 Análisis del canal de Telegram Artificial Intelligence & ChatGPT Prompts
El canal Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 42 298 suscriptores, ocupando la posición 3 079 en la categoría Tecnologías y Aplicaciones y el puesto 8 954 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 42 298 suscriptores.
Según los últimos datos del 30 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 56, y en las últimas 24 horas de 19, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.51%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.68% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 640 visualizaciones. En el primer día suele acumular 287 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
- Intereses temáticos: El contenido se centra en temas clave como learning, algorithm, detection, llm, pattern.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“🔓Unlock Your Coding Potential with ChatGPT
🚀 Your Ultimate Guide to Ace Coding Interviews!
💻 Coding tips, practice questions, and expert advice to land your dream tech job.
For Promotions: @love_data”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 31 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
42 298
Suscriptores
+1924 horas
+47 días
+5630 días
Archivo de publicaciones
𝟯 𝗙𝗿𝗲𝗲 𝗧𝗖𝗦 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗘𝘃𝗲𝗿𝘆 𝗙𝗿𝗲𝘀𝗵𝗲𝗿 𝗠𝘂𝘀𝘁 𝗧𝗮𝗸𝗲 𝘁𝗼 𝗚𝗲𝘁 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆😍
🎯 If You’re a Fresher, These TCS Courses Are a Must-Do📄✔️
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Steps to Learn Ethical Hacking 👇
1. Basic IT Knowledge: Build a strong foundation in IT, including understanding of operating systems, networks, and programming languages.
2. Learn Networking: Study computer networks, protocols, and how data is transmitted over the internet.
3. Programming Skills: Learn languages like Python, which are commonly used in ethical hacking for scripting and automation.
4. Operating Systems: Gain expertise in Windows and Linux operating systems.
5. Cybersecurity Fundamentals: Understand the basics of cybersecurity, including encryption, firewalls, and intrusion detection systems.
6. Study Tools: Familiarize yourself with ethical hacking tools and software like Wireshark, Metasploit, and Nmap.
7. Online Courses: Take online courses or certifications in ethical hacking and cybersecurity, like Certified Ethical Hacker (CEH) or CompTIA Security+.
8. Hands-on Practice: Set up a virtual lab environment to practice hacking techniques safely. Experiment on your own systems or those you have permission to test.
9. CTFs and Challenges: Participate in Capture The Flag (CTF) competitions and online challenges to apply your skills.
10. Legal and Ethical Guidelines: Always follow ethical and legal standards. Hacking without proper authorization is illegal and unethical.
11. Stay Informed: Continuously update your knowledge as the field of cybersecurity evolves rapidly.
12. Community Involvement: Join forums, online communities, and connect with ethical hackers to learn and share experiences.
13. Certifications: Consider pursuing advanced certifications like Certified Information Systems Security Professional (CISSP) or Certified Information Security Manager (CISM).
14. Specialize: Choose an area of specialization, such as penetration testing, network security, or web application security.
15. Ethical Mindset: Remember that the goal of ethical hacking is to protect systems, not exploit them.
ENJOY LEARNING 👍👍
𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗔𝗪𝗦 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗳𝗼𝗿 𝗔𝗯𝘀𝗼𝗹𝘂𝘁𝗲 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍
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🔝💻 Top 10 Websites for Coding Practice:
🚀 Hackerrank.com
💡 Leetcode.com
⚔ Codewars.com
🏋️ Exercism.org
🌀 Codeforces.com
🌍 Hackerearth.com
🏆 Topcoder.com
⏲️ Coderbyte.com
🧮 Projecteuler.net
🍽️ Codechef.com
Here’s a detailed breakdown of critical roles and their associated responsibilities:
🔘 Data Engineer: Tailored for Data Enthusiasts
1. Data Ingestion: Acquire proficiency in data handling techniques.
2. Data Validation: Master the art of data quality assurance.
3. Data Cleansing: Learn advanced data cleaning methodologies.
4. Data Standardisation: Grasp the principles of data formatting.
5. Data Curation: Efficiently organise and manage datasets.
🔘 Data Scientist: Suited for Analytical Minds
6. Feature Extraction: Hone your skills in identifying data patterns.
7. Feature Selection: Master techniques for efficient feature selection.
8. Model Exploration: Dive into the realm of model selection methodologies.
🔘 Data Scientist & ML Engineer: Designed for Coding Enthusiasts
9. Coding Proficiency: Develop robust programming skills.
10. Model Training: Understand the intricacies of model training.
11. Model Validation: Explore various model validation techniques.
12. Model Evaluation: Master the art of evaluating model performance.
13. Model Refinement: Refine and improve candidate models.
14. Model Selection: Learn to choose the most suitable model for a given task.
🔘 ML Engineer: Tailored for Deployment Enthusiasts
15. Model Packaging: Acquire knowledge of essential packaging techniques.
16. Model Registration: Master the process of model tracking and registration.
17. Model Containerisation: Understand the principles of containerisation.
18. Model Deployment: Explore strategies for effective model deployment.
These roles encompass diverse facets of Data and ML, catering to various interests and skill sets. Delve into these domains, identify your passions, and customise your learning journey accordingly.
𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗔𝗿𝗲 𝗠𝗼𝘀𝘁 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗮𝗿𝗲𝗲𝗿𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱 😍
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Sharing 20+ Diverse Datasets📊 for Data Science and Analytics practice!
1. How much did it rain :- https://www.kaggle.com/c/how-much-did-it-rain-ii/overview
2. Inventory Demand:- https://www.kaggle.com/c/grupo-bimbo-inventory-demand
3. Property Inspection predictiion:- https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction
4. Restaurant Revenue prediction:- https://www.kaggle.com/c/restaurant-revenue-prediction/data
5. Customer satisfcation:-https://www.kaggle.com/c/santander-customer-satisfaction
6. Iris Dataset: https://archive.ics.uci.edu/ml/datasets/iris
7. Titanic Dataset: https://www.kaggle.com/c/titanic
8. Wine Quality Dataset: https://archive.ics.uci.edu/ml/datasets/Wine+Quality
9. Heart Disease Dataset: https://archive.ics.uci.edu/ml/datasets/Heart+Disease
10. Bengaluru House Price Dataset: https://www.kaggle.com/amitabhajoy/bengaluru-house-price-data
11. Breast Cancer Dataset: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29
12. Credit Card Fraud Detection: https://www.kaggle.com/mlg-ulb/creditcardfraud
13. Netflix Movies and TV Shows: https://www.kaggle.com/shivamb/netflix-shows
14. Trending YouTube Video Statistics: https://www.kaggle.com/datasnaek/youtube-new
15. Walmart Store Sales Forecasting: https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting
16. FIFA 19 Complete Player Dataset: https://www.kaggle.com/karangadiya/fifa19
17. World Happiness Report: https://www.kaggle.com/unsdsn/world-happiness
18. TMDB 5000 Movie Dataset: https://www.kaggle.com/tmdb/tmdb-movie-metadata
19. Students Performance in Exams: https://www.kaggle.com/spscientist/students-performance-in-exams
20. Twitter Sentiment Analysis Dataset: https://www.kaggle.com/kazanova/sentiment140
21. Digit Recognizer: https://www.kaggle.com/c/digit-recognizer
💻🔍 Don't miss out on these valuable resources for advancing your data science journey!
Repost from Power BI & Tableau Resources
𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗙𝗥𝗘𝗘 𝗣𝗼𝘄𝗲𝗿𝗕𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍
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If you’re trying to enter the field of data analytics but don’t know where to start, Microsoft has your back!💻📍
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🍓 Python Resources to boost your resume in 2025 🍓
𝟭. 𝗜𝗻𝘁𝗿𝗼 𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻
This a great course to get started with learning Python, if you have no coding experience.
👉 https://kaggle.com/learn/intro-to-programming
𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝘂𝗿𝘀𝗲
Learn the fundamentals like functions, loops, conditional statements, etc of the most important language for data science.
👉 https://kaggle.com/learn/python
𝟯. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻
👉 https://netacad.com/courses/programming/pcap-programming-essentials-python
𝟰. Python Data Structure and Algorithms
👉 https://t.me/programming_guide/76
𝟱. 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻
You'll learn Python fundamentals like variables, loops, conditionals, and functions.
Then you'll quickly ramp up to complex data structures, networking, relational databases, and data visualization.
👉 https://freecodecamp.org/learn/scientific-computing-with-python/
Repost from Data Analyst Jobs
𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 😍
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🔗 𝗔𝗽𝗽𝗹𝘆 𝗛𝗲𝗿𝗲 (𝗙𝗿𝗲𝗲)👇:-
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AI is the next biggest skill to learn.
AI experts are earing up to $200000+ per year.
Here are 4 FREE courses from Google and Microsoft that most people don't know:
https://microsoft.github.io/AI-For-Beginners/?
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https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
More free resources: https://t.me/udacityfreecourse
𝗧𝗼𝗽 𝟱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗪𝗶𝘁𝗵 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗱𝗲 𝗧𝗵𝗮𝘁 𝗪𝗶𝗹𝗹 𝗜𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼😍
Tired of Theory? Start Building Real Projects That Get You Noticed📍
If you’re serious about data analytics, building hands-on projects is the best way to grow📊
𝐋𝐢𝐧𝐤👇:-
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These projects are built to make you stand out✅️
🖥 Roadmap of free courses for learning Python and Machine learning.
▪Data Science
▪ AI/ML
▪ Web Dev
1. Start with this
https://kaggle.com/learn/python
2. Take any one of these
❯ https://t.me/pythondevelopersindia/76
❯ https://youtu.be/rfscVS0vtbw?si=WdvcwfYR3PaLiyJQ
3. Then take this
https://netacad.com/courses/programming/pcap-programming-essentials-python
4. Attempt for this certification
https://freecodecamp.org/learn/scientific-computing-with-python/
5. Take it to next level
❯ Data Visualization
https://kaggle.com/learn/data-visualization
❯ Machine Learning
http://developers.google.com/machine-learning/crash-course
https://t.me/datasciencefun/290
❯ Deep Learning (TensorFlow)
http://kaggle.com/learn/intro-to-deep-learning
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𝟲 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟱😍
Whether you’re a student, aspiring data analyst, software enthusiast, or just curious about AI, now’s the perfect time to dive in.
These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more
𝗟𝗶𝗻𝗸:-👇
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Repost from SQL Programming Resources
𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
Whether you’re a student, fresher, or professional looking to upskill — Microsoft has dropped a series of completely free courses to get you started.
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Do it right!
▪️Google was the 12th search engine
▪️The iPad was the 12th tablet
▪️Facebook was the 10th social network
▪️Tesla is not the first to produce an electric car
It's not about who gets there first. It all depends on who gets it right when the market is ready.
𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗧𝗼𝗱𝗮𝘆😍
1. Introduction to Data Science
2. PwC Digital Intelligence
3. BCG Generative AI
4. Data Analytics
𝗟𝗶𝗻𝗸:-👇
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Enroll For FREE & Get Certified 🎓
𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗶𝗻 𝟯𝟬 𝗗𝗮𝘆𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀😍
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If you’re serious about data analysis, backend development, or becoming job-ready in tech, SQL is a must-have skill📊👨💻
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