🏷 "Statistics for Data Science" Notes


👨🏻‍💻 In these notes, everything is structured and neatly organized from the basics of statistics to advanced tips. Each concept is explained with examples, formulas, and charts to make learning easy

🛑 What is statistics and why is it important?
🛑 Basic concepts
🛑 Denoscriptive statistics
🛑 Inferential statistics
🛑 Discrete and continuous distributions
🛑 And many other topics

🌐 #Data_Science #DataScience

https://news.1rj.ru/str/CodeProgrammer ✅

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📕 #pandas Cheat Sheet


👨🏻‍💻 To easily read, inspect, clean, and manipulate data however you want, you need to master pandas!

✏️ To make learning and using pandas easier, this #cheatsheet covers almost all the important features you need for data-driven projects.

✔️ Reading and writing data
✔️ Data inspection
✔️ Data transformation and cleaning
✔️ Grouping and summarizing
✔️ Combining datasets

🌐 #DataScience #DataScience

https://news.1rj.ru/str/DataAnalyticsX 🏐

🚀 Master Data Science & Programming!

Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!


🔰 Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
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🔖 Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
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🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
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🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
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💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
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🧑‍🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
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😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
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💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
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🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
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🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
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📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
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🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
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⭐️ Research Papers
Professional Academic Writing & Simulation Services
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Admin: @HusseinSheikho

🔖 Sharing a handy cheat sheet on 12 key Git commands — this is the basic set that no developer can do without

tags: #cheatsheet #git

https://news.1rj.ru/str/CodeProgrammer 🔗

📊 A comprehensive summary of the «Seaborn Library»

👨🏻‍💻 One of the best choices for any data scientist to convert data into clear and beautiful charts, so that they can better understand what the data is saying and also be able to present the results correctly and clearly to others, is the Seaborn library.

✅ A very user-friendly library for creating professional charts with minimal coding. It is built on top of Matplotlib but is simpler and easier to use than that.

✏️ With this summary, you will learn the syntax, see many examples and real applications of #Seaborn, and ultimately help you elevate your #datavisualization skills by several levels.

🌐 #Data_Science #DataScience

https://news.1rj.ru/str/DataAnalyticsX 🌟

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🎓 OSSU Computer Science — your free Computer Science degree

Open Source Society University (OSSU) is a complete Computer Science curriculum compiled from the best free courses in the world (MIT, Harvard, Princeton). This is not just random videos, but a structured study plan for 2-3 years: from introduction and algorithms to operating systems, databases, and machine learning.

What is important:

➡️ A full Curriculum — the program follows the standard undergraduate CS degree: mathematics, algorithms, architecture, OS, networks, security.

➡️ Top sources — courses from MIT, Stanford, Google, Princeton, and other giants.

➡️ Final Project — at the end of the program, you create a big project to consolidate your knowledge in practice.

🐱 Link to the repository

https://news.1rj.ru/str/CodeProgrammer ✉️

🏷 Sections of the «NumPy» library
⬅️ From introductory to advanced


👨🏻‍💻 This is a long-term project to learn Python and NumPy from scratch. The main task is to handle numerical #data and #arrays in #Python using NumPy, and many other libraries are also used.


✏️ This section shows a structured and complete path for learning #NumPy; but the code examples and exercises help to practically memorize the concepts.


⭕️ Introduction to NumPy
🟠 NumPy arrays
⭕️ Introduction to array features
🟠 Basic operations on arrays
⭕️ Functions for statistical and aggregative purposes
🟠 And...

https://news.1rj.ru/str/CodeProgrammer ⛈⚡️

If you want to truly understand how AI systems like #GPT, #Claude, #Llama or #Mistral work at their core, these 85 foundational concepts are essential. The visual below breaks down the most important ideas across the full #AI and #LLM landscape.

https://news.1rj.ru/str/CodeProgrammer ✅

🚀 #Pandas Cheat Sheet for Everyday Data Work

This covers the essential functions we use in day to day work like inspecting data, selecting rows and columns, cleaning, manipulating and doing quick aggregations.

https://news.1rj.ru/str/CodeProgrammer ❤️

𝗜𝗳 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝗶𝗻 𝘁𝗼𝘀𝘀𝗲𝘀…

Think again! 🎲

Here’s why it’s a game-changer for anyone in data science, analytics, and decision-making:

➜ Decode Uncertainty

From weather forecasts to financial markets, probability helps us make smarter choices.

➜ Master Essential Distributions

Understand Binomial, Poisson, Normal, and more in the simplest way possible.

➜ Crack Data Science Interviews

#Probability is a key topic in analytics and #machinelearning interviews.

➜ Avoid Common Misconceptions

Learn why "50-50 odds" don’t always mean a fair game.

➜ Visualize Concepts, Not Just Formulas

The best way to learn is through intuitive graphs and real-world examples!

https://news.1rj.ru/str/CodeProgrammer ✅

🌟 A new and comprehensive book "Mastering pandas"

👨🏻‍💻 If I've worked with messy and error-prone data this time, I don't know how much time and energy I've wasted. Incomplete tables, repetitive records, and unorganized data. Exactly the kind of things that make analysis difficult and frustrate you.

⬅️ And the only way to save yourself is to use pandas! A tool that makes processes 10 times faster.

🏷 This book is a comprehensive and organized guide to pandas, so you can start from scratch and gradually master this library and gain the ability to implement real projects. In this file, you'll learn:

🔹 How to clean and prepare large amounts of data for analysis,

🔹 How to analyze real business data and draw conclusions,

🔹 How to automate repetitive tasks with a few lines of code,

🔹 And improve the speed and accuracy of your analyses significantly.

🌐 #DataScience #DataScience #Pandas #Python

https://news.1rj.ru/str/CodeProgrammer ⚡️