Telegram Web
Free Certification Courses to Learn Data Analytics in 2025:

1. Python
πŸ”— https://imp.i384100.net/5gmXXo

2. SQL
πŸ”— https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql

3. Statistics and R
πŸ”— https://edx.org/learn/r-programming/harvard-university-statistics-and-r

4. Data Science: R Basics
πŸ”—https://edx.org/learn/r-programming/harvard-university-data-science-r-basics

5. Excel and PowerBI
πŸ”— https://learn.microsoft.com/en-gb/training/paths/modern-analytics/

6. Data Science: Visualization
πŸ”—https://edx.org/learn/data-visualization/harvard-university-data-science-visualization

7. Data Science: Machine Learning
πŸ”—https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

8. R
πŸ”—https://imp.i384100.net/rQqomy

9. Tableau
πŸ”—https://imp.i384100.net/MmW9b3

10. PowerBI
πŸ”— https://lnkd.in/dpmnthEA

11. Data Science: Productivity Tools
πŸ”— https://lnkd.in/dGhPYg6N

12. Data Science: Probability
πŸ”—https://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science

13. Mathematics
πŸ”—http://matlabacademy.mathworks.com

14. Statistics
πŸ”— https://lnkd.in/df6qksMB

15. Data Visualization
πŸ”—https://imp.i384100.net/k0X6vx

16. Machine Learning
πŸ”— https://imp.i384100.net/nLbkN9

17. Deep Learning
πŸ”— https://imp.i384100.net/R5aPOR

18. Data Science: Linear Regression
πŸ”—https://pll.harvard.edu/course/data-science-linear-regression/2023-10

19. Data Science: Wrangling
πŸ”—https://edx.org/learn/data-science/harvard-university-data-science-wrangling

20. Linear Algebra
πŸ”— https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra

21. Probability
πŸ”— https://pll.harvard.edu/course/data-science-probability

22. Introduction to Linear Models and Matrix Algebra
πŸ”—https://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra

23. Data Science: Capstone
πŸ”— https://edx.org/learn/data-science/harvard-university-data-science-capstone

24. Data Analysis
πŸ”— https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis

25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY

26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2

27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience

https://www.tgoop.com/CodeProgrammer ✈️
Please open Telegram to view this post
VIEW IN TELEGRAM
πŸ‘19❀6πŸ”₯2
The Big Book of Large Language Models by Damien Benveniste

βœ… Chapters:
1⃣ Introduction

πŸ”’ Language Models Before Transformers

πŸ”’ Attention Is All You Need: The Original Transformer Architecture

πŸ”’ A More Modern Approach To The Transformer Architecture

πŸ”’ Multi-modal Large Language Models

πŸ”’ Transformers Beyond Language Models

πŸ”’ Non-Transformer Language Models

πŸ”’ How LLMs Generate Text

πŸ”’ From Words To Tokens

1⃣0⃣ Training LLMs to Follow Instructions

1⃣1⃣ Scaling Model Training

1βƒ£πŸ”’ Fine-Tuning LLMs

1βƒ£πŸ”’ Deploying LLMs

Read it: https://book.theaiedge.io/

#ArtificialIntelligence #AI #MachineLearning #LargeLanguageModels #LLMs #DeepLearning #NLP #NaturalLanguageProcessing #AIResearch #TechBooks #AIApplications #DataScience #FutureOfAI #AIEducation #LearnAI #TechInnovation #AIethics #GPT #BERT #T5 #AIBook #AIEnthusiast

https://www.tgoop.com/CodeProgrammer
Please open Telegram to view this post
VIEW IN TELEGRAM
πŸ‘17❀4πŸ‘Ž1
πŸ”° How to become a data scientist in 2025?

πŸ‘¨πŸ»β€πŸ’» If you want to become a data science professional, follow this path! I've prepared a complete roadmap with the best free resources where you can learn the essential skills in this field.


πŸ”’ Step 1: Strengthen your math and statistics!

✏️ The foundation of learning data science is mathematics, linear algebra, statistics, and probability. Topics you should master:

βœ… Linear algebra: matrices, vectors, eigenvalues.

πŸ”— Course: MIT 18.06 Linear Algebra


βœ… Calculus: derivative, integral, optimization.

πŸ”— Course: MIT Single Variable Calculus


βœ… Statistics and probability: Bayes' theorem, hypothesis testing.

πŸ”— Course: Statistics 110

βž–βž–βž–βž–βž–

πŸ”’ Step 2: Learn to code.

✏️ Learn Python and become proficient in coding. The most important topics you need to master are:

βœ… Python: Pandas, NumPy, Matplotlib libraries

πŸ”— Course: FreeCodeCamp Python Course

βœ… SQL language: Join commands, Window functions, query optimization.

πŸ”— Course: Stanford SQL Course

βœ… Data structures and algorithms: arrays, linked lists, trees.

πŸ”— Course: MIT Introduction to Algorithms

βž–βž–βž–βž–βž–

πŸ”’ Step 3: Clean and visualize data

✏️ Learn how to process and clean data and then create an engaging story from it!

βœ… Data cleaning: Working with missing values ​​and detecting outliers.

πŸ”— Course: Data Cleaning

βœ… Data visualization: Matplotlib, Seaborn, Tableau

πŸ”— Course: Data Visualization Tutorial

βž–βž–βž–βž–βž–

πŸ”’ Step 4: Learn Machine Learning

✏️ It's time to enter the exciting world of machine learning! You should know these topics:

βœ… Supervised learning: regression, classification.

βœ… Unsupervised learning: clustering, PCA, anomaly detection.

βœ… Deep learning: neural networks, CNN, RNN


πŸ”— Course: CS229: Machine Learning

βž–βž–βž–βž–βž–

πŸ”’ Step 5: Working with Big Data and Cloud Technologies

✏️ If you're going to work in the real world, you need to know how to work with Big Data and cloud computing.

βœ… Big Data Tools: Hadoop, Spark, Dask

βœ… Cloud platforms: AWS, GCP, Azure

πŸ”— Course: Data Engineering

βž–βž–βž–βž–βž–

πŸ”’ Step 6: Do real projects!

✏️ Enough theory, it's time to get coding! Do real projects and build a strong portfolio.

βœ… Kaggle competitions: solving real-world challenges.

βœ… End-to-End projects: data collection, modeling, implementation.

βœ… GitHub: Publish your projects on GitHub.

πŸ”— Platform: KaggleπŸ”— Platform: ods.ai

βž–βž–βž–βž–βž–

πŸ”’ Step 7: Learn MLOps and deploy models

✏️ Machine learning is not just about building a model! You need to learn how to deploy and monitor a model.

βœ… MLOps training: model versioning, monitoring, model retraining.

βœ… Deployment models: Flask, FastAPI, Docker

πŸ”— Course: Stanford MLOps Course

βž–βž–βž–βž–βž–

πŸ”’ Step 8: Stay up to date and network

✏️ Data science is changing every day, so it is necessary to update yourself every day and stay in regular contact with experienced people and experts in this field.

βœ… Read scientific articles: arXiv, Google Scholar

βœ… Connect with the data community:

πŸ”— Site: Papers with code
πŸ”— Site: AI Research at Google


#ArtificialIntelligence #AI #MachineLearning #LargeLanguageModels #LLMs #DeepLearning #NLP #NaturalLanguageProcessing #AIResearch #TechBooks #AIApplications #DataScience #FutureOfAI #AIEducation #LearnAI #TechInnovation #AIethics #GPT #BERT #T5 #AIBook #AIEnthusiast

https://www.tgoop.com/CodeProgrammer
Please open Telegram to view this post
VIEW IN TELEGRAM
πŸ‘35❀15πŸ‘1
Some people asked me about a resource for learning about Transformers.

Here's a good one I am sharing again -- it covers just about everything you need to know.

brandonrohrer.com/transformers

Amazing stuff. It's totally worth your weekend.

#Transformers #DeepLearning #NLP #AI #MachineLearning #SelfAttention #DataScience #Technology #Python #LearningResource


https://www.tgoop.com/CodeProgrammer
πŸ‘7❀6πŸ”₯2
πŸš€ EXCITING UPDATE ALERT πŸš€

A brand-new, FREE course on LLM evaluations has just been launched in collaboration with Elvis Saravia! Dive into the world of AI model assessments and elevate your skills with cutting-edge insights.

πŸ“š What’s Included?
- βš–οΈ In-depth coverage of LLM-as-a-judge metrics, LLM unit testing, monitoring, and beyond
- πŸ€– Hands-on experience with real-world projects, such as building a YouTube search agent
- πŸŽ‰ Access to open-source models via LiteLLM

Whether you're an AI enthusiast, developer, or researcher, this course is designed to empower you with practical knowledge and tools. Don’t miss outβ€”enroll now to secure your spot! πŸ‘‡
https://www.comet.com/site/llm-course/

#AI #MachineLearning #LLM #OpenSource #FreeCourse #TechEducation #DataScience #ArtificialIntelligence #LearnAI #LiteLLM #ElvisSaravia

https://www.tgoop.com/CodeProgrammer
πŸ‘6❀5
Practical Deep Learning

A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.
New!

Enroll Free: https://course.fast.ai/

#DeepLearning #MachineLearning #FreeCourse #CodingSkills #AI #ArtificialIntelligence #PracticalAI #TechEducation #LearnToCode #DataScience #NeuralNetworks #PythonProgramming #TechInnovation #SelfPacedLearning #FutureSkills

https://www.tgoop.com/CodeProgrammer πŸ‘©β€πŸ’»
Please open Telegram to view this post
VIEW IN TELEGRAM
πŸ‘8❀5πŸ”₯3πŸ’―1
Running a Neural Network Model in OpenCV

Many machine learning models have been developed, each with strengths and weaknesses. This catalog is not complete without neural network models. In OpenCV, you can use a neural network model developed using another framework. In this post, you will learn about the workflow of applying a neural network in OpenCV. Specifically, you will learn:

🏐 What OpenCV can use in its neural network model
🏐 How to prepare a neural network model for OpenCV

Read: https://machinelearningmastery.com/running-a-neural-network-model-in-opencv/

#NeuralNetworks #OpenCV #MachineLearning #AI #DeepLearning #ModelDeployment #ComputerVision #TechTutorials #DataScience #MLModels

https://www.tgoop.com/CodeProgrammer
Please open Telegram to view this post
VIEW IN TELEGRAM
πŸ‘10❀2
Python, Bash and SQL Essentials for Data Engineering Specialization

What you'll learn
Develop #dataengineering solutions with a minimal and essential subset of the Python language and the Linux environment

Design scripts to connect and query a #SQL #database using #Python

Use a #scraping library in Python to read, identify and extract data from websites

Enroll Free: https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke

https://www.tgoop.com/CodeProgrammer
πŸ‘8❀2
You should do something about your AI skills. Why not do it this week, when all our AI courses, tracks, certifications and projects are 100% FREE? πŸš€

Swipe for a few suggestions on courses, then hurry up and pick your favorites!

🟒 is ticking:

πŸ”— Register Free: https://www.datacamp.com/campaign/free-ai-access-week-2025

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience

https://www.tgoop.com/CodeProgrammer ✈️
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
πŸ‘9❀2πŸŽ‰2πŸ’―1
pandas for Data Science - Guide

In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can use it to analyze data with Python.

pandas is a game-changer for #datascience and analytics, particularly if you came to #Python because you were searching for something more powerful than #Excel and #VBA. #pandas uses fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive.

Read: https://realpython.com/learning-paths/pandas-data-science/

https://www.tgoop.com/CodeProgrammer
πŸ‘14❀1
2025/07/09 02:27:46
Back to Top
HTML Embed Code: