🖥 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://news.1rj.ru/str/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://news.1rj.ru/str/datasciencefun/290

❯ Deep Learning (TensorFlow)
http://kaggle.com/learn/intro-to-deep-learning

Please more reaction with our posts

Credits: https://news.1rj.ru/str/datasciencefree

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👇:-

https://pdlink.in/42WSueL

These projects are built to make you stand out✅️

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/?

https://www.cloudskillsboost.google/paths/118

https://www.deeplearning.ai/courses/ai-for-everyone/

https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

More free resources: https://news.1rj.ru/str/udacityfreecourse

𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 😍

If you’re eager to build real skills in data analytics before landing your first role, Deloitte is giving you a golden opportunity—completely free!

💡 No prior experience required
📚 Ideal for students, freshers, and aspiring data analysts
⏰ Self-paced — complete at your convenience

🔗 𝗔𝗽𝗽𝗹𝘆 𝗛𝗲𝗿𝗲 (𝗙𝗿𝗲𝗲)👇:- 

https://pdlink.in/4iKcgA4

Enroll for FREE & Get Certified 🎓

🍓 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://news.1rj.ru/str/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/

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗙𝗥𝗘𝗘 𝗣𝗼𝘄𝗲𝗿𝗕𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍

🚀 Want to Break into Data Analytics? Start with This Free Power BI Course by Microsoft🎯

If you’re trying to enter the field of data analytics but don’t know where to start, Microsoft has your back!💻📍

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4jJvuaq

Best part? It’s completely free and created by one of the most trusted names in tech✅️

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!

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗔𝗿𝗲 𝗠𝗼𝘀𝘁 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗮𝗿𝗲𝗲𝗿𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱 😍

Learn Full Stack Development | Data Analytics & Data Science 

Curriculum designed and taught by Alumni from IITs & Leading Tech Companies.

60+ Hiring Drives Every Month

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:- 

🌟 500+ Hiring Partners
🤝Trusted by 7500+ Students 
💼 Avg. Rs. 7.2 LPA
🚀 41 LPA Highest Package

𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸  :- https://pdlink.in/4hO7rWY

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://bit.ly/4g3kyT6

Hurry, limited seats available!🏃‍♀️

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.

🔝💻 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

𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗔𝗪𝗦 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗳𝗼𝗿 𝗔𝗯𝘀𝗼𝗹𝘂𝘁𝗲 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍

☁️ Want to Break Into Cloud Computing? Start Your AWS Journey for Free!📌

Cloud computing is one of the fastest-growing and highest-paying fields in tech. And Amazon Web Services (AWS) leads the way with over 30% of the global market share📊🎊

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3Skm0pM

Click below and start your cloud adventure today✅️

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 noscripting 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 👍👍

𝟯 𝗙𝗿𝗲𝗲 𝗧𝗖𝗦 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗘𝘃𝗲𝗿𝘆 𝗙𝗿𝗲𝘀𝗵𝗲𝗿 𝗠𝘂𝘀𝘁 𝗧𝗮𝗸𝗲 𝘁𝗼 𝗚𝗲𝘁 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆😍

🎯 If You’re a Fresher, These TCS Courses Are a Must-Do📄✔️

Stepping into the job market can be overwhelming—but what if you had certified, expert-backed training that actually prepares you?👨‍🎓✨️

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/42Nd9Do

Don’t wait. Get certified, get confident, and get closer to landing your first job✅️

You don't need to spend several $𝟭𝟬𝟬𝟬𝘀 to learn Data Science.❌

Stanford University, Harvard University & Massachusetts Institute of Technology is providing free courses.💥

Here's 8 free Courses that'll teach you better than the paid ones:


1. CS50’s Introduction to Artificial Intelligence with Python (Harvard)

https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python

2. Data Science: Machine Learning (Harvard)

https://pll.harvard.edu/course/data-science-machine-learning

3. Artificial Intelligence (MIT)

https://lnkd.in/dG5BCPen

4. Introduction to Computational Thinking and Data Science (MIT)

https://lnkd.in/ddm5Ckk9

5. Machine Learning (MIT)

https://lnkd.in/dJEjStCw

6. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT)

https://lnkd.in/dkpyt6qr

7. Statistical Learning (Stanford)

https://online.stanford.edu/courses/sohs-ystatslearning-statistical-learning

8. Mining Massive Data Sets (Stanford)

📍https://online.stanford.edu/courses/soe-ycs0007-mining-massive-data-sets

ENJOY LEARNING

𝟰 𝗕𝗲𝘀𝘁 𝗖𝗼𝗱𝗶𝗻𝗴 𝗚𝗮𝗺𝗲𝘀 𝗧𝗵𝗮𝘁 𝗠𝗮𝗸𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗦𝘂𝗽𝗲𝗿 𝗙𝘂𝗻 🎮💻

Tired of boring tutorials? 👨‍💻✔️

Say hello to coding games—a powerful (and fun) way to learn programming by playing💻🚀

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4d3qwma

Forget the lectures—code, play, and grow your skills with these interactive platforms!✅️

5 Steps to Learn Front-End Development🚀

Step 1: Basics
    — Internet
    — HTTP
    — Browser
    — Domain & Hosting

Step 2: HTML
    — Basic Tags
    — Semantic HTML
    — Forms & Table

Step 3: CSS
    — Basics
    — CSS Selectors
    — Creating Layouts
    — Flexbox
    — Grid
    — Position - Relative & Absolute
    — Box Model
    — Responsive Web Design
 
Step 3: JavaScript
    — Basics Syntax
    — Loops
    — Functions
    — Data Types & Object
    — DOM selectors
    — DOM Manipulation
    — JS Module - Export & Import
    — Spread & Rest Operator
    — Asynchronous JavaScript
    — Fetching API
    — Event Loop
    — Prototype
    — ES6 Features

Step 4: Git and GitHub
    — Basics
    — Fork
    — Repository
    — Pull Repo
    — Push Repo
    — Locally Work With Git

Step 5: React
    — Components & JSX
    — List & Keys
    — Props & State
    — Events
    — useState Hook
    — CSS Module
    — React Router
    — Tailwind CSS

Now apply for the job. All the best 🚀