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Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
Показати більше📈 Аналітичний огляд Telegram-каналу Data science/ML/AI
Канал Data science/ML/AI (@datascience_bds) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 13 674 підписників, посідаючи 9 377 місце в категорії Технології та додатки та 31 635 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 13 674 підписників.
За останніми даними від 09 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 155, а за останні 24 години на 5, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 8.03%. Протягом перших 24 годин після публікації контент зазвичай збирає 2.25% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 1 098 переглядів. Протягом першої доби публікація в середньому набирає 308 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 5.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як panda, learning, row, api, ethic.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Data science and machine learning hub
Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources.
For beginners, data scientists and ML engineers
👉 https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatasci...”
Завдяки високій частоті оновлень (останні дані отримано 10 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.
13 674
Підписники
+524 години
+197 днів
+15530 день
Архів дописів
13 674
Modern Data Scientist
What the industry needs?
Rating ⭐️: 4.5 out 5
Students 👨🎓 : 3158
Duration ⏰ : 1hr 40 min of on-demand video
Created by 👨🏫: Prof Poornachandra Sarang, Ph.D.
🔗 Course Link
#datascience #programming
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13 674
Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka
This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 11-12 hours long
Source: Edureka
🔗 COURSE LINK
#datascience
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13 674
Virgilio Data Science
This repository contains articles, GitHub repos and Kaggle kernels which provides data science and machine learning projects with code.
Creator: virgili0
Stars ⭐️: 13.9k
Forked By: 2.5k
https://github.com/virgili0/Virgilio
#datascience
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*This channel belongs to @bigdataspecialist group
13 674
Data Science Advanced Analytics Interview Prep. Kit - 182+
A walkthrough from the essentials of 182+ data science interview questions from linear regression to advance analytics
Rating ⭐️: 4.6 out 5
Students 👨🎓 : 2676
Duration ⏰ : 1hr 2min of on-demand video
Created by 👨🏫: Rupak Bob Roy
🔗 Course Link
#datascience #dataanalytics #programming
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13 674
8 Great Data Science Books For Beginners
In the past few years public interest in data science has surged. What had been a fairly esoteric field is now a common topic in the news, in politics and international law, and in our social media feeds. Data literacy is becoming a highly desired skill in every industry, and consumers enter data points into massive business intelligence systems every day. Whether you just want to stay informed in the data craze or you’re looking to kickstart your data science or data literacy journey, this article features a list of books that can help newcomers navigate the world of data science.
1. “The Data Science Handbook
2. “Doing Data Science: Straight Talk from the Frontline” by Cathy O'Neil and Rachel Schutt
3. “Numsense! Data Science for the Layman: No Math Added” by Annalyn Ng and Kenneth Soo
4. “The Art of Data Science” by Roger D. Peng and Elizabeth Matsui
5. “Data Science For Dummies” by Lillian Pierson
6. “Big Data For Dummies” by Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman
7. “Data Jujitsu: The Art of Turning Data into Product” by DJ Patil
8. “Big Data: A Revolution That Will Transform How We Live, Work, and Think” by Viktor Mayer-Schönberger and Kenneth Cukier
🔗 Read More
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Learning Data Science: Understanding the Basics
Many of the people who work on data science teams won't be data scientists. They'll be the managers and associates who want to gain real business value from your organization's data. These team members need to understand the language of data science so they can ask better questions, understand processes, and help effectively lead their teams and organizations to making better data-driven decisions. This course is an introduction to data science for people who aren't planning on being full-time data scientists. It introduces big data concepts, tools, and techniques, including gathering and sorting data, working with databases, understanding structured and unstructured data types, and applying statistical analysis. Business coach and author Doug Rose helps you speak the language of data science so that you can guide your organization through the opportunities and limitations in this dramatically growing field.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 1-2 hours long
4 quizzes
Source: linkedin learning
🔗 COURSE LINK
#datascience
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13 674
Data Science Full Course 2024 | Data Science Course For Beginners | Learn Data Science |
This Data Science Course 2024 covers all the important skill sets required to get you a job as a Data Scientist!
This particular Data Science Course For Beginners has been taught by our top industry experts associated with companies like Google, Meta, and Microsoft. So, stay until the end of this video, you will understand Data Science from Fundamentals To Solving Basic Data Science Problems Using Machine Learning Algorithms.
With this Data Science Course 2024, we will give you the Fundamental idea of what is data science, What Datasets are all about, Basic Machine Learning Algorithms, and how you can solve real-world problems like heart disease detection using Data science.
We will also help you with the trending project idea which is creating a Chatbot of your own like ChatGPT using data science. We will also highlight some of the important data science interview questions.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 11-12 hours long
Source: Intellipaat
🔗 COURSE LINK
#datascience
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13 674
DATA SCIENCE :THEORIES , MODELS , ALGORITHMS , AND ANALYTICS
by S A N J I V R A N J A N D A S
📄 462 pages
🔗 Read Online
#datascience
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13 674
Data Science BootCamp - From Analysing Data To Creating ML Models
This free Data Science Bootcamp will help you get started on the roadmap towards a career as top Data Scientist. Master the basics of Python, Tableau, ML, AI and more.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 6 weeks long
Source: geeksforgeeks
🔗 COURSE LINK
#datascience
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13 674
Become a Citizen Data Scientist with HyperSense-AI Studio
Use R Programming for Scientific Research
Rating ⭐️: 4.6 out 5
Students 👨🎓 : 3139
Duration ⏰ : 1.5 hours on-demand video
Created by 👨🏫: Learning Hypersense
🔗 COURSE LINK
#datascience
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13 674
Data Science Projects
Collection of data science projects in Python
Creator: Vaibhav Singh
Stars ⭐️: 1.5k
Forked By: 406
https://github.com/veb-101/Data-Science-Projects
#datascience
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*This channel belongs to @bigdataspecialist group
13 674
10 Best Practices for Data Science
The main bottleneck in data science are no longer compute power or sophisticated algorithms, but craftsmanship, communication, and process.
And that the aim is to not only produce work that is accurate and correct, but also can be understood, work that others can collaborate on.
Rule 1: Start Organized, Stay Organized
Rule 2: Everything Comes from Somewhere, and the Raw Data is Immutable
Rule 3: Version Control is Basic Professionalism
Rule 4: Notebooks are for Exploration, Source Files are for Repetition
Rule 5: Tests and Sanity Checks Prevent Catastrophes
Rule 6: Fail Loudly, Fail Quickly
Rule 7: Project Runs are Fully Automated from Raw Data to Final Outputs
Rule 8: Important Parameters are Extracted and Centralized
Rule 9: Project Runs are Verbose by Default and Result in Tangible Artifacts
Rule 10: Start with the Simplest Possible End-to-End Pipeline
Lessons
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#datascience
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13 674
How To Use R Programming for Research
Use R Programming for Scientific Research
Rating ⭐️: 4.5 out 5
Students 👨🎓 : 19,897
Duration ⏰ : 1.5 hours on-demand video
👩💻 2 coding exercises
⬇️ 29 downloadable resources
Created by 👨🏫: Prof Asad Rasul
🔗 COURSE LINK
⚠️ Its free for first 1000 enrollments only!
#R_Programming
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13 674
Practical Deep Learning For Coders
This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.
🆓 Free Online Course
Rating⭐️: 4.1 out 5
Duration ⏰: 7 weeks
💻 Lecture Videos
🏃♂️ Self paced
Teacher 👨🏫 : Prof. Jeremy Howard
🔗 Course Link
#programming #deeplearning
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