A lot of people are confused about whether they should go with Java or Python?
But here’s the thing: If you’re aiming for the top product based companies, it doesn’t matter which language or tech stack you are familiar with.
The focus of all tech giants is around DSA, which tests your logic and approach. As in most of these companies, the technology changes rapidly and these companies look for employees who can learn a new tech stack in no time.
Now, when it comes to improving your problem-solving skills, it's not only important to solve a number of problems, but even more important to cover all the different variations of every data structure.
Here are some free resources to improve your problem solving skills and learn DSA
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https://xn--r1a.website/crackingthecodinginterview/535
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https://xn--r1a.website/programming_guide/940
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#dsa #freeresources
But here’s the thing: If you’re aiming for the top product based companies, it doesn’t matter which language or tech stack you are familiar with.
The focus of all tech giants is around DSA, which tests your logic and approach. As in most of these companies, the technology changes rapidly and these companies look for employees who can learn a new tech stack in no time.
Now, when it comes to improving your problem-solving skills, it's not only important to solve a number of problems, but even more important to cover all the different variations of every data structure.
Here are some free resources to improve your problem solving skills and learn DSA
👇👇
https://xn--r1a.website/crackingthecodinginterview/535
https://xn--r1a.website/crackingthecodinginterview/77
https://xn--r1a.website/dsabooks/37
https://xn--r1a.website/free4unow_backup/685
https://xn--r1a.website/programming_guide/940
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18. Intro to Game AI and Reinforcement Learning Build your own video game bots, using classic and cutting-edge algorithms.
🔗 https://lnkd.in/df3WqAh4
17. Geospatial Analysis Create interactive maps, and discover patterns in geospatial data.
🔗 https://lnkd.in/dCmeymwN
16. Machine Learning Explainability Extract human-understandable insights from any model.
🔗 https://lnkd.in/gm9dx_dY
15. Intro to AI Ethics Explore practical tools to guide the moral design of AI systems.
🔗 https://lnkd.in/dha2pngP
14. Data Cleaning Master efficient workflows for cleaning real-world, messy data.
🔗 https://lnkd.in/dTyt5Vac
Python for Machine Learning& Data Science Masterclass
🔗 https://xn--r1a.website/datasciencefree/68
13. Time Series Apply machine learning to real-world forecasting tasks.
🔗 https://lnkd.in/dVMmmxgv
12. Computer Vision Build convolutional neural networks with TensorFlow and Keras.
🔗 https://lnkd.in/dsGDJnQs
11. Feature Engineering Better features make better models. Discover how to get the most out of your data.
🔗 https://lnkd.in/d64RhjZ2
10. Intro to Programming Get started with Python, if you have no coding experience.
🔗 https://lnkd.in/g4Kde5KF
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🔗 https://lnkd.in/g7TanChx
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🔗 Link: https://lnkd.in/ghv8TCp4
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Python for Data Analysis & Visualization
🔗 Link: https://bit.ly/45X2BzG
4. Intro to SQL Learn SQL for working with databases, using Google BigQuery.
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3. Advanced SQL Take your SQL skills to the next level.
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2. Data Visualization A great way to see the power of coding!
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1. Intro to Deep Learning Use TensorFlow and Keras to build and train neural networks for structured data.
🔗 Link: https://lnkd.in/d-DBsbXD
📌 Kaggle group for projects & competition discussion
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Free Books, Courses & Certificates to learn Data Analytics & Data Science for beginners
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Free courses to learn Data Science in 2023
Complete Roadmap with Free Resources to become a data analyst
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Few resources that can elevate your understanding of AI and LLM -
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🔗 https://developers.google.com/machine-learning/crash-course
2. TensorFlow APIs: Whether you're a beginner or an expert, these tutorials will help you master TensorFlow's suite to build and deploy ML models.
🔗 https://www.tensorflow.org/tutorials
3. ML Practitioner Guides: For the seasoned professionals, these guides offer deep dives into solving complex ML problems effectively.
🔗 https://developers.google.com/machine-learning/guides
4. AI Explanations: Understand the workings behind AI decisions with resources focused on interpretability.
🔗 https://cloud.google.com/ai-explanations
Leverage these resources to enhance your expertise and innovate in your field. 🌐
1. Machine Learning Crash Course: A practical introduction to ML fundamentals, featuring interactive exercises and real-world case studies.
🔗 https://developers.google.com/machine-learning/crash-course
2. TensorFlow APIs: Whether you're a beginner or an expert, these tutorials will help you master TensorFlow's suite to build and deploy ML models.
🔗 https://www.tensorflow.org/tutorials
3. ML Practitioner Guides: For the seasoned professionals, these guides offer deep dives into solving complex ML problems effectively.
🔗 https://developers.google.com/machine-learning/guides
4. AI Explanations: Understand the workings behind AI decisions with resources focused on interpretability.
🔗 https://cloud.google.com/ai-explanations
Leverage these resources to enhance your expertise and innovate in your field. 🌐
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Intro to Data for Data Science
https://ern.li/OP/1qvkxbfbmf8
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Data Analysis and Visualization
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Data Analysis with R by Facebook
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Introduction to Data Science using Python
https://bit.ly/47a3x59
Intro to Data for Data Science
https://ern.li/OP/1qvkxbfbmf8
Data Science with Analogies, Algorithms and Solved Problems
https://ern.li/OP/1qvkxbfcehz
Introduction to Data Science for Complete Beginners
https://bit.ly/3sh4oPO
ENJOY LEARNING 👍👍
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Spend $0 to master new skills in 2023:
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8. SQL - t.me/sqlspecialist/349
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2. CSS - css-tricks.com
3. JavaScript - learnjavascript.online
4. React - react-tutorial.app
5. Tailwind - scrimba.com
6. Vue - vueschool.io
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8. SQL - t.me/sqlspecialist/349
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Here are the free resources to master Power BI with their respective links:
🚀1. Microsoft Power BI Documentation: Start with [Microsoft’s official Power BI documentation](https://docs.microsoft.com/en-us/power-bi/).
🚀2. YouTube Tutorials: Watch free Power BI tutorials on channels like [Guy in a Cube](https://www.youtube.com/user/msbiacademy) and [Power BI](https://www.youtube.com/user/mspowerbi).
🚀3. EdX Course: Enroll in the free “Analyzing and Visualizing Data with Power BI” course on [EdX](https://www.edx.org/professional-certificate/microsoft-data-science).
🚀4. Power BI Blog: Stay updated on features and best practices through [Microsoft’s Power BI blog](https://powerbi.microsoft.com/en-us/blog/).
🚀5. GitHub Power BI Samples: Practice using sample files and reports from Microsoft’s [Power BI GitHub repository](https://github.com/microsoft/PowerBI-visuals).
These resources will provide you with a solid foundation in Power BI, and if you decide to pursue certification, consider paid courses and practice exams for more comprehensive preparation.
🚀1. Microsoft Power BI Documentation: Start with [Microsoft’s official Power BI documentation](https://docs.microsoft.com/en-us/power-bi/).
🚀2. YouTube Tutorials: Watch free Power BI tutorials on channels like [Guy in a Cube](https://www.youtube.com/user/msbiacademy) and [Power BI](https://www.youtube.com/user/mspowerbi).
🚀3. EdX Course: Enroll in the free “Analyzing and Visualizing Data with Power BI” course on [EdX](https://www.edx.org/professional-certificate/microsoft-data-science).
🚀4. Power BI Blog: Stay updated on features and best practices through [Microsoft’s Power BI blog](https://powerbi.microsoft.com/en-us/blog/).
🚀5. GitHub Power BI Samples: Practice using sample files and reports from Microsoft’s [Power BI GitHub repository](https://github.com/microsoft/PowerBI-visuals).
These resources will provide you with a solid foundation in Power BI, and if you decide to pursue certification, consider paid courses and practice exams for more comprehensive preparation.
Docs
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Power BI amplifies your insights and the value of your data. Find expert information and answers here, no matter how you use Power BI.
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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/?
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/
Share our channel for more free resources: https://xn--r1a.website/udacityfreecourse
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/
Share our channel for more free resources: https://xn--r1a.website/udacityfreecourse
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I am providing best resource for free & people still not giving 5 star ratings. Sad reality
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🧨 30-day roadmap to get started with web development 🧨
Week 1: HTML and CSS
- Day 1-3: Learn HTML basics (structure, tags, elements).
- Day 4-7: Dive into CSS (styling, selectors, layouts).
Week 2: Advanced CSS and Responsive Design
- Day 8-11: Explore advanced CSS concepts (flexbox, grid).
- Day 12-14: Learn about responsive web design.
Week 3: JavaScript Fundamentals
- Day 15-18: Get started with JavaScript (variables, data types, operators).
- Day 19-21: Study JavaScript functions and control structures.
Week 4: JavaScript DOM Manipulation and Frameworks
- Day 22-25: Understand the Document Object Model (DOM) and how to manipulate it with JavaScript.
- Day 26-28: Explore JavaScript frameworks/libraries (e.g., React, Vue, Angular).
- Day 29-30: Build a simple project combining HTML, CSS, and JavaScript.
Free Web Development Resources: https://xn--r1a.website/webdevcoursefree
ENJOY LEARNING 👍 👍
Week 1: HTML and CSS
- Day 1-3: Learn HTML basics (structure, tags, elements).
- Day 4-7: Dive into CSS (styling, selectors, layouts).
Week 2: Advanced CSS and Responsive Design
- Day 8-11: Explore advanced CSS concepts (flexbox, grid).
- Day 12-14: Learn about responsive web design.
Week 3: JavaScript Fundamentals
- Day 15-18: Get started with JavaScript (variables, data types, operators).
- Day 19-21: Study JavaScript functions and control structures.
Week 4: JavaScript DOM Manipulation and Frameworks
- Day 22-25: Understand the Document Object Model (DOM) and how to manipulate it with JavaScript.
- Day 26-28: Explore JavaScript frameworks/libraries (e.g., React, Vue, Angular).
- Day 29-30: Build a simple project combining HTML, CSS, and JavaScript.
Free Web Development Resources: https://xn--r1a.website/webdevcoursefree
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