🎯 5 best YouTube videos to learn Claude in 2026 👇
1/ How to Use Claude AI in 2026: Complete Beginner's Guide:
https://www.youtube.com/watch?v=Nc46GvRXTjA
2/ FULL Claude Tutorial for Beginners in 2026 (Become a PRO):
https://www.youtube.com/watch?v=rRrBbyv3ChM
3/ Claude Code Tutorial for Beginners: Build App with AI:
https://www.youtube.com/watch?v=6q8joS_592k
4/ How to Build Claude Skills that Generate Revenue (Full Course):
https://www.youtube.com/watch?v=sduaTkhIm_w
5/ Claude Code for Beginners, Build Your First App with AI:
https://www.youtube.com/watch?v=s-Mc26Ytz10
1/ How to Use Claude AI in 2026: Complete Beginner's Guide:
https://www.youtube.com/watch?v=Nc46GvRXTjA
2/ FULL Claude Tutorial for Beginners in 2026 (Become a PRO):
https://www.youtube.com/watch?v=rRrBbyv3ChM
3/ Claude Code Tutorial for Beginners: Build App with AI:
https://www.youtube.com/watch?v=6q8joS_592k
4/ How to Build Claude Skills that Generate Revenue (Full Course):
https://www.youtube.com/watch?v=sduaTkhIm_w
5/ Claude Code for Beginners, Build Your First App with AI:
https://www.youtube.com/watch?v=s-Mc26Ytz10
YouTube
How to Use Claude AI in 2026: Complete Beginner's Guide (14 Features)
Learn how to use Claude AI with this complete beginner's guide — 14 features most users never discover, from Claude Memory to Projects, Artifacts, and more.
In this step-by-step beginner tutorial, you will find out about more than 14 Claude features that…
In this step-by-step beginner tutorial, you will find out about more than 14 Claude features that…
✅ *Data Science Interview Prep Guide* 📊🧠
Whether you're a fresher or career-switcher, here’s how to prep step-by-step:
*1️⃣ Understand the Role*
Data scientists solve problems using data. Core responsibilities:
• Data cleaning & analysis
• Building predictive models
• Communicating insights
• Working with business/product teams
*2️⃣ Core Skills Needed*
✔️ Python (NumPy, Pandas, Matplotlib, Scikit-learn)
✔️ SQL
✔️ Statistics & probability
✔️ Machine Learning basics
✔️ Data storytelling & visualization (Power BI / Tableau / Seaborn)
*3️⃣ Key Interview Areas*
*A. Python & Coding*
• Write code to clean and analyze data
• Solve logic problems (e.g., reverse a list, group data by key)
• List vs Dict vs DataFrame usage
*B. Statistics & Probability*
• Hypothesis testing
• p-values, confidence intervals
• Normal distribution, sampling
*C. Machine Learning Concepts*
• Supervised vs unsupervised learning
• Overfitting, regularization, cross-validation
• Algorithms: Linear Regression, Decision Trees, KNN, SVM
*D. SQL*
• Joins, GROUP BY, subqueries
• Window functions
• Data aggregation and filtering
*E. Business & Communication*
• Explain model results to non-tech stakeholders
• What metrics would you track for [business case]?
• Tell me about a time you used data to influence a decision
*4️⃣ Build Your Portfolio*
✅ Do projects like:
• E-commerce sales analysis
• Customer churn prediction
• Movie recommendation system
✅ Host on GitHub or Kaggle
✅ Add visual dashboards and insights
*5️⃣ Practice Platforms*
• LeetCode (SQL, Python)
• HackerRank
• StrataScratch (SQL case studies)
• Kaggle (competitions & notebooks)
💬 *Tap ❤️ for more!*
Whether you're a fresher or career-switcher, here’s how to prep step-by-step:
*1️⃣ Understand the Role*
Data scientists solve problems using data. Core responsibilities:
• Data cleaning & analysis
• Building predictive models
• Communicating insights
• Working with business/product teams
*2️⃣ Core Skills Needed*
✔️ Python (NumPy, Pandas, Matplotlib, Scikit-learn)
✔️ SQL
✔️ Statistics & probability
✔️ Machine Learning basics
✔️ Data storytelling & visualization (Power BI / Tableau / Seaborn)
*3️⃣ Key Interview Areas*
*A. Python & Coding*
• Write code to clean and analyze data
• Solve logic problems (e.g., reverse a list, group data by key)
• List vs Dict vs DataFrame usage
*B. Statistics & Probability*
• Hypothesis testing
• p-values, confidence intervals
• Normal distribution, sampling
*C. Machine Learning Concepts*
• Supervised vs unsupervised learning
• Overfitting, regularization, cross-validation
• Algorithms: Linear Regression, Decision Trees, KNN, SVM
*D. SQL*
• Joins, GROUP BY, subqueries
• Window functions
• Data aggregation and filtering
*E. Business & Communication*
• Explain model results to non-tech stakeholders
• What metrics would you track for [business case]?
• Tell me about a time you used data to influence a decision
*4️⃣ Build Your Portfolio*
✅ Do projects like:
• E-commerce sales analysis
• Customer churn prediction
• Movie recommendation system
✅ Host on GitHub or Kaggle
✅ Add visual dashboards and insights
*5️⃣ Practice Platforms*
• LeetCode (SQL, Python)
• HackerRank
• StrataScratch (SQL case studies)
• Kaggle (competitions & notebooks)
💬 *Tap ❤️ for more!*
A single failure or a series of tough attempts do not define your worth. The true measure of success is not how many times you are praised, but how many times you have the courage to pick yourself up and start again.
The desert rose teaches us that resilience is a superpower. Every setback is just another lesson for the 'Level Up' you are working towards. Don't focus on the fall; focus on the rise. 🏜️✨
The desert rose teaches us that resilience is a superpower. Every setback is just another lesson for the 'Level Up' you are working towards. Don't focus on the fall; focus on the rise. 🏜️✨
Success doesn’t come overnight... it is the result of small, consistent efforts made every day.
We often dream of big achievements but overlook the daily discipline and persistence that build them. The truth is... every small step, every bit of progress and every time we rise after falling brings us closer to our goals.
When we keep putting in effort with patience... our confidence and abilities gradually grow. So never underestimate your small progress, because it eventually becomes the foundation of something great.
Keep moving forward, keep learning, and trust yourself.... success will surely follow. ✨
We often dream of big achievements but overlook the daily discipline and persistence that build them. The truth is... every small step, every bit of progress and every time we rise after falling brings us closer to our goals.
When we keep putting in effort with patience... our confidence and abilities gradually grow. So never underestimate your small progress, because it eventually becomes the foundation of something great.
Keep moving forward, keep learning, and trust yourself.... success will surely follow. ✨
❤1
15 Must Watch Movies for Programmers🧑💻🤖
1. The Matrix
2. The Social Network
3. Source Code
4. The Imitation Game
5. Silicon Valley
6. Mr. Robot
7. Jobs
8. The Founder
9. The Social Dilemma
10. The Great Hack
11. Halt and Catch Fire
12. Wargames
13. Hackers
14. Snowden
15. Who Am I
1. The Matrix
2. The Social Network
3. Source Code
4. The Imitation Game
5. Silicon Valley
6. Mr. Robot
7. Jobs
8. The Founder
9. The Social Dilemma
10. The Great Hack
11. Halt and Catch Fire
12. Wargames
13. Hackers
14. Snowden
15. Who Am I
👍3❤1
Follow the CS Corner Sunita Rai channel on WhatsApp: https://whatsapp.com/channel/0029VbAp72v05MUm5UPXXB0k
Hello everyone,
If you’re truly serious about building a strong, secure career, this is your moment to pursue.
A PGDM in Artificial Intelligence & Data Science is a gateway to enter the most powerful and fastest-growing industries in the world today. With technology shaping every field, this program gives you the skills, exposure, and confidence to stay ahead and lead.
*https://apply.atmaaims.com/*
Those who have still not registered for cet exam for PGDM/ mms should register on Above link for *ATMA*
*Hurry up! Last date for ATMA is on 19th April 2026.*
Why look elsewhere when you can get everything under one roof—quality education, industry-focused learning, and a clear path to success at GNIMS
Seats are limited and competition is rising—don’t wait for opportunities, create them. Take the step now and secure your future in the world of AI & Data Science. 🚀
For more details kindly contact:
Asst. Prof. Lohita Rao
9082986087
If you’re truly serious about building a strong, secure career, this is your moment to pursue.
A PGDM in Artificial Intelligence & Data Science is a gateway to enter the most powerful and fastest-growing industries in the world today. With technology shaping every field, this program gives you the skills, exposure, and confidence to stay ahead and lead.
*https://apply.atmaaims.com/*
Those who have still not registered for cet exam for PGDM/ mms should register on Above link for *ATMA*
*Hurry up! Last date for ATMA is on 19th April 2026.*
Why look elsewhere when you can get everything under one roof—quality education, industry-focused learning, and a clear path to success at GNIMS
Seats are limited and competition is rising—don’t wait for opportunities, create them. Take the step now and secure your future in the world of AI & Data Science. 🚀
For more details kindly contact:
Asst. Prof. Lohita Rao
9082986087
17 Websites to Learn Programming for FREE🧑💻
✅ w3school
✅ javascript
✅ theodinproject
✅ stackoverflow
✅ geeksforgeeks
✅ studytonight
✅ freecodecamp
✅ mozilla dev
✅ javatpoint
✅ codecademy
✅ sololearn
✅ programiz
✅ w3schools
✅ tutsplus
✅ youtube
✅ scrimba
✅ w3school
✅ javascript
✅ theodinproject
✅ stackoverflow
✅ geeksforgeeks
✅ studytonight
✅ freecodecamp
✅ mozilla dev
✅ javatpoint
✅ codecademy
✅ sololearn
✅ programiz
✅ w3schools
✅ tutsplus
✅ youtube
✅ scrimba
❤2
Read “The Right Way to Learn Machine Learning in 2026 (After Getting It Wrong)“ by Sunita Rai on Medium: https://medium.com/@sunita.rai_5226/the-right-way-to-learn-machine-learning-in-2026-after-getting-it-wrong-1624fc0b58eb