Programming, data science, ML - free courses by Big Data Specialist

Programming, data science, ML - free courses by Big Data Specialist

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Programming, data science, ML - free courses by Big Data Specialist

Free courses and learning materials: Data science ML AI Programming Contact: @mldatascientist Buy ads: https://telega.io/c/bigdataspecialist DMCA disclosure: @disclosure_bds Ig: https://www.instagram.com/bigdataspecialist https://discord.gg/f4sXD37H9q

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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

Introduction to Cyber Security: Stay Safe Online (The Open University)

This course helps to you to protect yourself and your organization from cyber threats in an increasingly digital world. It's content covers online threats, malware, network security, identity theft, and protection strategies; no prerequisites required; and completely FREE.

📚 Basics of cyber security and online protection
⏰ Duration: 24 hours
🏃‍♂️ Self Paced
👨‍🏫 Created by: The Open University (OpenLearn)
🔗 https://www.open.edu/openlearn/digital-computing/introduction-cyber-security-stay-safe-online/content-section-overview

#ComputerArchitecture #Systems #Hardware
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#Cybersecurity #Security

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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

Computer Organization and Architecture

A foundational Computer Science course that teaches you how computers are built and how they work at a hardware level, including instruction sets, memory hierarchy, CPU design, and performance analysis. And it's completely FREE to learn.

📚 8–10 modules with theory, examples, and assignments
⏰ Duration: ~8–10 weeks
🏃‍♂️ Self Paced
Created by 👨‍🏫: IIT Faculty (NPTEL)
🔗 https://nptel.ac.in/courses/106104233

#ComputerArchitecture #Systems #Hardware
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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

🎥 Video

🚨 OpenAI is rolling out a new interactive learning experience on ChatGPT with dynamic visual explanations

Interactive learning is rolling out starting today to all logged-in ChatGPT users.

According to OpenAI, 140 million people use ChatGPT to help them understand math and science concepts every week.

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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

Full Stack Open 2025: University of Helsinki

This course deeply dive into modern web development: React, Redux, Node.js, MongoDB, GraphQL, TypeScript. You will build full-stack apps with real projects like a blog and patientor backend.

📚 12 parts video + exercises
⏰ Duration: Full semester
🏃‍♂️ Self Paced
Created by 👨‍🏫: University of Helsinki
🔗 https://fullstackopen.com/en/


#FullStack #React #NodeJS
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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

🚨 Anthropic’s Official Claude & AI Mastery Courses (2026)
Free AI Engineering and Claude Developer Track

Anthropic just released a fresh batch of completely free, official courses to help developers, builders, and AI enthusiasts master Claude and modern AI workflows. These are recent, practical, and built directly by the team behind Claude, which makes them far more relevant than most generic AI tutorials. If you want to understand real world AI integration, agents, and production usage, this learning path is worth serious attention.

📚 Multiple structured courses from beginner to advanced
⏰ Self paced
🏃‍♂️ Hands on and developer focused
👨‍🏫 Created by: Anthropic
🔗 https://anthropic.skilljar.com/

🎯 Featured Courses Inside the Platform

🧠 Claude 101
⚙️ AI Fluency: Framework and Foundations
🛠 Building with the Claude API
💻 Claude Code in Action
🔗 Introduction to Model Context Protocol (MCP)
🚀 MCP Advanced Topics

And the best part…

💸 Every course is completely FREE and newly released.

#AI #Claude #Anthropic #AIDevelopers #MachineLearning
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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

Dive into Deep Learning

This interactive book will help you gain hands-on deep learning expertise from basics like neural networks to advanced topics like transformers and GANs propelling your career in ML/AI with skills adopted by 500 universities worldwide for research and engineering roles. It's content covers theory, code in multiple frameworks, and exercises.
It will be good if you have prior knowledge in Python and basic math; It's completely FREE.

🔗 https://d2l.ai/

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Programming, data science, ML - free courses by Big Data Specialist

Mar 29, 2026, 02:46 PM

Notes on Data Structures and Programming Techniques

This Yale University course resource teaches DSA in C, focusing on implementation, asymptotic analysis, recursion, linked lists, trees, hashing, and practical programming techniques. It includes detailed notes, examples, and exercises.

📚 DSA in C with emphasis on implementation and analysis
🏃‍♂️ Self Paced
👨‍🏫 Created by : Yale University (CS department notes)
🔗 https://cs.yale.edu/homes/aspnes/classes/223/notes.html

#DSA #C #Algorithms
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Programming, data science, ML - free courses by Big Data Specialist

Mar 28, 2026, 09:50 PM

🇺🇸 Harvard's CS50: Introduction to Computer Science (2026 Edition)
Free Computer Science University Course

This is the legendary CS50 course from Harvard University, updated for 2026 and freely available on the freeCodeCamp YouTube channel. It teaches you how to think algorithmically and solve problems efficiently using C, Python, SQL, and JavaScript. It's renowned for its rigorous, project-based approach and its inspiring instructor, David J. Malan. No prerequisites are required.

📚 11 lectures, including a new section on the impact of AI .
⏰ Duration: 25 hours
🏃‍♂️ Self-Paced
👨‍🏫 Created by : Harvard University (Professor David J. Malan)
🔗 https://www.freecodecamp.org/news/harvard-cs50-2026-free-computer-science-university-course


#ComputerScience #Harvard #Freecodecamp
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Programming, data science, ML - free courses by Big Data Specialist

Mar 28, 2026, 09:50 PM

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Programming, data science, ML - free courses by Big Data Specialist

Mar 26, 2026, 10:01 PM

Algorithms for Big Data (Harvard CS229r)

This course focuses on scalable algorithms, data processing, and systems thinking. This is ideal for data engineers and backend developers dealing with large datasets and it is Fully FREE.

📚 20 lectures
⏰ Duration: 10–12 weeks
🏃‍♂️ Self Paced
👨‍🏫 Created by: Harvard University Faculty
🔗 https://www.classcentral.com/course/youtube-algorithms-for-big-data-compsci-229r-48050/classroom

#Algorithms #BigData #Backend
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2,750

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Programming, data science, ML - free courses by Big Data Specialist

Mar 24, 2026, 09:48 PM

Deep Learning for Computer Vision - Open Source Video Course

This is the University of Michigan's deep learning course lecture video series. It teaches you convolutional networks, object detection, back propagation and vision transformers through practical implementations; its great for developers working on image-based AI. Prerequisites include Python and linear algebra, and its completely FREE and OPEN SOURCE.

🎬 Lecture videos
⏰ Duration: 24 hr
🏃‍♂️ Self Paced
👨‍🏫 Created by: University of Michigan EECS Department
🔗 https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r

#ComputerVision #DeepLearning #UiniversityofMichigan
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Programming, data science, ML - free courses by Big Data Specialist

Mar 22, 2026, 08:38 PM

🧠 Stop Reading Code. Start SEEING It.

Most people struggle with algorithms not because they are hard
but because they are invisible.

Once you can see how code behaves, everything clicks.

Here are some of the best free tools to visualize code, algorithms, and data structures 👇

━━━━━━━━━━━━━━━
🔍 Algorithms & Data Structures
━━━━━━━━━━━━━━━

🔹 Visualgo
👉 https://visualgo.net/
Watch sorting, trees, graphs, DP, and more step by step.
Perfect for interviews and fundamentals.

🔹 DSA Visualizer
👉 https://visualizedsa.com/
Clean animations for stacks, queues, linked lists, trees, graphs.

🔹 DSAViz
👉 https://dsaviz.com/
Control execution speed, pause, rewind, and replay algorithms.

🔹 StructViz
👉 https://structviz.com/
Explore how classic data structures evolve in real time.

━━━━━━━━━━━━━━━
🧪 Visualize Your Own Code
━━━━━━━━━━━━━━━

🔹 Python Tutor
👉 https://pythontutor.com/
One of the best tools ever.
See variables, memory, call stack, and object references live.

🔹 Draw To Code
👉 https://drawtocode.org/
Whiteboard-style algorithm visualization.

━━━━━━━━━━━━━━━
📊 Data & Graph Visualization
━━━━━━━━━━━━━━━

🔹 RAWGraphs
👉 https://rawgraphs.io/
Turn raw data into beautiful visualizations without coding.

🔹 Observable Notebooks
👉 https://observablehq.com/
All-in-one platform for data analysis, visualization, and cross-functional collaboration.

━━━━━━━━━━━━━━━
💡 Why this matters
━━━━━━━━━━━━━━━

✅ Faster learning
✅ Better intuition
✅ Fewer “why does this work?” moments
✅ Stronger interview performance

If you can see the flow, you can write the code.

🔥 Follow for more practical dev resources

Programming, data science, ML - free courses by Big Data Specialist

Mar 21, 2026, 12:52 PM

Computer Networks - Stanford CS 144 (Open Source Video Course)

This is Stanford's networking course where you build a TCP implementation.  It teaches you TCP/IP, reliable data transfer, and network protocols through hands-on C++ programming; its great for understanding internet fundamentals. Prerequisites include C++ and systems programming, and its completely FREE and OPEN SOURCE.

📚 Lecture videos, Lab assignments building a TCP stack, Practice exams and network simulations
⏰ Duration: 10 weeks (120 hours)
🏃‍♂️ Self Paced
Created by 👨‍🏫: Stanford University Computer Science Department
🔗 https://cs144.github.io/

#Networking #StanfordUniversity #TCP #OpenSource
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Programming, data science, ML - free courses by Big Data Specialist

Mar 20, 2026, 03:57 AM

Our platform is finally ready. 🚀 Do you remember the platform I told you we are building for you? 👀 Free learning materials, job offers, tech updates, Udemy coupons… all in one place. After almost 3 years of building, testing, talking to many of you and…

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Programming, data science, ML - free courses by Big Data Specialist

Mar 19, 2026, 12:11 PM

Our platform is finally ready. 🚀

Do you remember the platform I told you we are building for you? 👀
Free learning materials, job offers, tech updates, Udemy coupons… all in one place.

After almost 3 years of building, testing, talking to many of you and improving it step by step… it’s finally in beta. ✔️

A lot of you actually participated in developing this, as backend devs, frontend devs or designers. 🧑‍💻
That makes me insanely proud.
This is truly built by us, for us. ❤️

I’m opening early access to a small group.
If you want to be one of the first inside, test it, find bugs, suggest ideas, or just see what’s under the hood…join the Beta Testers Group 👉 https://t.me/+9vt9IKi6iGAxZDhk

Let’s make this thing amazing. Together. 🚀

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Programming, data science, ML - free courses by Big Data Specialist

Mar 17, 2026, 12:40 PM

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Programming, data science, ML - free courses by Big Data Specialist

Mar 13, 2026, 09:13 AM

🧭 Picking a Niche That Still Exists in 3 Years

Imagine grinding for 3 years only to realize your job is now automated.
It happens faster than people expect.

Everyone asks “What should I learn?”
Fewer ask “Will this still matter soon?”

Automation is not coming for jobs.
It is coming for predictable tasks.
And predictable work is the easiest to replace.

If your skill is predictable, it is replaceable.


🧠 The Real Filter

Safe niches usually have at least one of these:

1️⃣ High Context
Work that needs deep understanding of people, business, or messy real-world constraints.
Example: product engineering tied to business goals, not just coding tickets.
Without context, you are easier to swap out.

2️⃣ High Stakes
Where mistakes are costly.
Example: security, infra, reliability, payments.
Companies do not gamble these on whoever is cheapest.

3️⃣ Rapid Change
Fields moving so fast that playbooks expire.
Example: AI integration, data systems, emerging tech stacks.
Slow learners fall behind quickly here.

4️⃣ Human Trust
Where people want accountability.
Example: consulting, architecture decisions, leadership.
Trust is hard to automate and hard to outsource.


🚩 Risky Niches

Be careful if your niche is mostly:
⚠️ Following tutorials step by step
⚠️ Converting clear specs into code
⚠️ Repeating the same builds/projects
⚠️ Competing on low cost

Those are first in line when budgets tighten.


🔍 A Smarter Strategy

Do not chase roles.
Stack skills.

Example stacks that age well:
👉 Dev + domain knowledge (finance, health, logistics)
👉 Dev + communication
👉 Dev + systems thinking
👉 Dev + business sense

Tools change.
Leverage stays.
People who only know tools feel this shift the hardest.

📌 The Honest Truth

The safest niche is not a tool.
It is the ability to solve unclear problems.

🟢 People who define problems stay valuable.
🔴 People who only execute defined tasks get replaced.

Pick a path where you think, not just do.
Your future options depend on it.

Programming, data science, ML - free courses by Big Data Specialist

Mar 13, 2026, 09:13 AM

📷 Photo

Hey guys,

I am back from Athens. It was amazing journey. We learned how to create actually useful product. Not something that "we think" its valuable, but what our customers will find valuable.

It was exhausting training including more than 50 real people interviews, 12 hours each day. But it was worth it!

If you want to learn more about this process let me know.

👉There are 32 unreplied messages, I am going through it now, be patient ☺️

Also big announcement coming today! 🤪
Stay tuned.

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Programming, data science, ML - free courses by Big Data Specialist

Mar 13, 2026, 09:13 AM

Introduction to Computer Science and Programming Using Python (MIT OCW)

This course teaches computational thinking and Python programming from the ground up. It is rigorous, university level, and excellent for developers who want strong fundamentals rather than just syntax. Completely FREE and highly respected course.

📚 12 lectures with assignments
⏰ Duration: 9–12 weeks
🏃‍♂️ Self Paced
Created by 👨‍🏫: MIT Professors
🔗 https://ocw.mit.edu/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/

#Python #ComputerScience #MIT
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Programming, data science, ML - free courses by Big Data Specialist

Mar 13, 2026, 09:13 AM

Data Structures and Algorithms in Multiple Languages

This is a series of free coding courses that teach DSA concepts in languages like C and C++, covering core topics like linked lists, stacks, queues, and sorting algorithms.

📚 DSA fundamentals across languages
⏰ Duration: Self paced
🏃‍♂️ Self Paced
Created by 👨‍🏫: freeCodeCamp
🔗 https://www.youtube.com/watch?v=B31LgI4Y4DQ

#DSA #C++ #Algorithms
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👉 Join for more 👈

Video Thumbnail

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Programming, data science, ML - free courses by Big Data Specialist

Mar 13, 2026, 09:13 AM

📎 File

Comprehensive Guide on AI Fundamentals

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Programming, data science, ML - free courses by Big Data Specialist

Mar 11, 2026, 10:07 AM

📷 Photo

Hey guys,

Just wanted to share some experiences from Greece 🇬🇷

We gathered here to build the perfect app for our customers, but the ideation process isn’t easy. What really matters is getting to know your customer, feeling empathy for them, and walking in their shoes. Then you can create an app that solves their real problems.

I’m heading back home in 5 days, so we’ll be able to respond to your messages then.

All the best

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Programming, data science, ML - free courses by Big Data Specialist

Mar 11, 2026, 10:07 AM

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Programming, data science, ML - free courses by Big Data Specialist

Mar 10, 2026, 05:40 AM

Functional Programming in Racket - Programming Languages (Open Source)

This is a university-level course teaching programming language concepts through Racket. It teaches you functional programming, type systems, and language design by building interpreters; its great for developers interested in compilers or advanced programming concepts. There are no prerequisites to take this course, and its completely FREE.

📚 15 weeks with lectures, assignments, and exams
⏰ Duration: 15 weeks
🏃‍♂️ Self Paced
Created by 👨‍🏫: University of British Columbia (Gregor Kiczales)
🔗 https://course.ccs.neu.edu/cs2510/

#FunctionalProgramming #Racket #Compilers
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Programming, data science, ML - free courses by Big Data Specialist

Mar 7, 2026, 05:30 AM

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Programming, data science, ML - free courses by Big Data Specialist

Mar 5, 2026, 08:19 AM

🚀 If I Had to Restart ML / AI Today (With CS + Stats Background)

A lot of people feel stuck switching between web dev, data science, ML, AI…
The issue is usually not lack of skill, but lack of focus.

This is the roadmap I would follow if I wanted clarity and real progress.👇

🧠 Step 0: Reset first

Before learning anything new, I would:

❌ Stop jumping between fields
🏹 Pick ONE direction for 12 months
👋 Ignore everything that doesn’t serve that goal

🎯 Chosen path:
Applied Machine Learning → AI


🐍 Step 1: Python for ML (2 weeks)

I would not relearn Python like a beginner.
Only what’s needed for ML.

Focus:
✔️ NumPy
✔️ Pandas
✔️ Working with real datasets

Free resources:
https://jakevdp.github.io/PythonDataScienceHandbook/
https://wesmckinney.com/book/


📐 Step 2: Math & Statistics for ML (2 weeks)

This is a huge advantage for anyone with stats background.

Focus:
✔️ Probability intuition
✔️ Linear algebra basics
✔️ Bias vs variance
✔️ Overfitting

Free resources:
https://www.youtube.com/@statquest
https://mml-book.github.io/


🤖 Step 3: Core Machine Learning (4 weeks)

This is the foundation.

Learn:
✔️ Linear & Logistic Regression
✔️ Decision Trees
✔️ Random Forest
✔️ Gradient Boosting
✔️ kNN
✔️ k-means

Free resources:
https://www.coursera.org/learn/machine-learning
StatQuest ML playlist


📊 Step 4: Projects (6 weeks)

No toy projects. Real ones.

Project ideas:
👉 Customer churn prediction
👉 Credit risk modeling
👉 Fraud detection

Free datasets:
👉 Kaggle
👉 UCI Machine Learning Repository

Each project should include:

✅ Data cleaning
✅ Feature engineering
✅ Model evaluation
✅ Clear explanation


🧠 Step 5: Deep Learning & AI (later)

Only after ML feels comfortable.

Focus:
✔️ Neural networks intuition
✔️ PyTorch

Free resources:
https://course.fast.ai/
http://neuralnetworksanddeeplearning.com/


⚠️ What I would avoid

🔻 Jumping between fields
🔻Chasing every new AI tool
🔻 Collecting certificates without projects
🔻 Comparing progress to online hype


✅ Final thought

You don’t need to learn everything.
You need focus and execution.

One clear path, followed consistently, beats any “learn it all” roadmap.

Save this. Execute it.

Programming, data science, ML - free courses by Big Data Specialist

Mar 4, 2026, 11:28 AM

📚Linux: Complete Power points

Unit 1:Linux basics
Intro to Linux OS, basic commands and shell basics.
🔗 https://www.slideshare.net/slideshow/linux-basics-part-1-70342840/70342840

Unit 2: Linux Installation and Environment
Some versions include installation and boot steps alongside file system topics. Many show the process and environment setup.
🔗 https://www.slideshare.net/slideshow/linux-53961995/53961995

Unit 3: File System and Directory Structure
Shows Linux directory structure and file types.
🔗 https://www.slideshare.net/slideshow/linux-training-24853599/24853599

Unit 4: Basic Linux Commands
Contains many basic CLI commands
🔗 https://www.slideshare.net/slideshow/basic-commands-of-linux-70399882/70399882

Unit 5: File Permissions and Ownership
Dedicated slides on symbolic and numeric permissions, chown and ls -l output.
🔗 https://www.slideserve.com/sondra/unix-linux-basics-0010

Unit 6: Process and System Management
Process states, monitoring, commands
🔗 https://www.slideshare.net/slideshow/process-management-in-linux/62381020

Unit 7: Linux Utilities
Basic shell utilities, file tools, compression
🔗 https://www.slideserve.com/chastity-everett/the-linux-utilities-powerpoint-ppt-presentation

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