🔥 Free Certification Courses from Google to try in 2023.

1. Basics of Machine Learning
https://grow.google/intl/en_in/

2. Machine Learning Crash Course
https://coursya.com/product/machine-learning-crash-course

3. Project Execution: Running the Project
https://coursera.org/learn/project-execution-google

4. Foundations of Project Management
https://coursera.org/learn/project-management-foundations

5. Project Initiation: Starting a Successful Project
https://coursera.org/learn/project-initiation-google

6. Project Planning: Putting It All Together
https://coursera.org/learn/project-planning-google

7. Google Analytics for Power Users
https://coursya.com/product/google-analytics-certification-coursya

8. Fundamentals of digital marketing
https://skillshop.exceedlms.com/student/collection/654330-digital-marketing?locale=en-GB

9. Python Basics for Data Analysis
https://coursya.com/product/learn-python-basics-for-data-analysis

10. Data Science Foundations
https://grow.google/intl/en_in/

11. Advanced Google Analytics
https://coursera.org/professional-certificates/google-data-analytics

12. Google Cloud Computing Foundations:
https://cloudskillsboost.google/course_templates/153

13. Data, ML, and AI in Google Cloud
https://coursya.com/product/google-cloud-computing-foundations-data-ml-and-ai-in-google-cloud-google-cloud-skills-boost

14. Agile Project Management
https://coursera.org/learn/agile-project-management

15. Google Project Management
https://coursera.org/professional-certificates/google-project-management

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We upload the book via Internet data, and this is expensive for us

Participate and contribute to the donation campaign until the target amount is reached

Members who will contribute to the donation campaign will receive a free subnoscription to the paid channel and a LinkedIn grant

Donate link:
https://boosty.to/datascienceteam/donate

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🔥Free Certification Courses from Microsoft to try in 2023:

1. Get started with Microsoft data analytics
https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft

2. Prepare data for analysis with Power BI
https://learn.microsoft.com/en-us/training/paths/prepare-data-power-bi

3. Model data with Power BI
https://learn.microsoft.com/en-us/training/paths/model-data-power-bi

4. Build Power BI visuals and reports
https://learn.microsoft.com/en-us/training/paths/build-power-bi-visuals-reports

5. Data analysis in Power BI
https://coursya.com/product/microsoft-power-bi-data-analyst

6. Visualize data in Power BI
https://coursya.com/product/build-power-bi-visuals-and-reports-training

7. Model data in Power BI
https://coursya.com/product/power-bi-for-beginners-designing-a-data-model

8. Prepare data for analysis
https://coursya.com/product/prepare-data-for-analysis-training

9. Get started with Microsoft data analytics
https://coursya.com/product/get-started-with-microsoft-data-analytics-training

10. Microsoft Certified: Power BI Data Analyst Associate
https://coursya.com/product/microsoft-certified-power-bi-data-analyst-associate-certifications

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Basic and Full-text Search with Django and Postgres

https://testdriven.io/blog/django-search/

1⃣ Set up basic search functionality with Q objects

2⃣ Add full-text search with Postgres

3⃣ Sort full-text search results by relevance using stemming, ranking, and weighting

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🔥 Data science path without complexity (Data Science Roadmap):

👨‍💻 Programming:
Python 🐍
R 📊
Java ☕
SQL 📂

📊 Mathematical foundations:
Statistics 📈
Linear algebra 🔢
Differentiation and integration
Classification mathematics 📐

📈 Data analysis:
Feature Engineering 🛠️
Data Wrangling 📑
Interpretative data analysis (EDA) 🔍

🤖 Machine Learning:
Classification 🏷️
Regression 📈
Reinforcement Learning 🎮
Deep Learning 🧠
Dimensionality Reduction 🔍
Clustering 🧩

🕸️ Collect data from the web:
Beautiful Soup 🍲
Scrapy 🕷️
URLLIB 🌐

📊 Graphical visualization:
Tableau 🧮
D3.js 🌐
Scatter Plot 📈
Power BI 📉
ggplot2 📊

🚀 Get ready to explore the depths of this amazing field with these amazing, free educational resources collected in this repository:
https://github.com/Moataz-Elmesmary/Data-Science-Roadmap

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Build a Code Image Generator With Python

In this step-by-step tutorial, you’ll learn how to:

⭐️ Set up and run a Flask project
⭐️ Connect and style Jinja templates
⭐️ Use Playwright to create images
⭐️ Beautify code with Pygments
⭐️ Leverage sessions to save browser states
⭐️ Enhance the user experience with JavaScript

https://realpython.com/python-code-image-generator/

👨🏻‍💻 Data science researcher Keith McNulty has published the complete content of the R for People Analytics course online for free . The content of this course includes:

1) All textbooks + slides during the course
2) Interactive exercises using RStudio Cloud
3) Course project datasets

┌ 🏷 RStudio conf 2022
└ 📚 R for People Analytics

This course contains resources that mainly focus on R. For a deeper understanding of working with R for data analysts, McNulty has made two of his textbooks free :

┌ 🏷 Two FREE online textbooks R
├ 📘 Regression Modeling with R
└ 📕 Graphs & Networks with R

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+160 Data Science Projects You Can Try with Python

+160 Data Science Projects solved & explained with Python

┌ 🏷 Data Science Projects with Python
└ 📊 +160 Data Science Projects

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

🤖 Machine Learning Tutorials Repository

1. Python
2. Computer Vision: Techniques, algorithms
3. NLP
4. Matplotlib
5. NumPy
6. Pandas
7. MLOps
8. LLMs
9. PyTorch/TensorFlow

git clone https://github.com/patchy631/machine-learning

🔗 GitHub: https://github.com/patchy631/machine-learning/tree/main

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✅ The best sources for downloading datasets for free

┌ 🏷 Real world data
├ ◼️ Data.gov
├ ◻️ Kaggle
├ ◼️ Dataset Search
├ ◻️ DataHub
├ ◼️ Earth Data
└ ◻️ WHO data repository

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☑️ IBM Free course: Python Basics for Data Science

Course Link: https://www.edx.org/learn/python/ibm-python-basics-for-data-science

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🖥 Extracting Tables from a PDF

Code: https://github.com/jsvine/pdfplumber

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Free Datasets to practice data science projects

1. Enron Email Dataset

Data Link: https://www.cs.cmu.edu/~enron/

2. Chatbot Intents Dataset

Data Link: https://github.com/katanaml/katana-assistant/blob/master/mlbackend/intents.json

3. Flickr 30k Dataset

Data Link: https://www.kaggle.com/hsankesara/flickr-image-dataset

4. Parkinson Dataset

Data Link: https://archive.ics.uci.edu/ml/datasets/parkinsons

5. Iris Dataset

Data Link: https://archive.ics.uci.edu/ml/datasets/Iris

6. ImageNet dataset

Data Link: http://www.image-net.org/

7. Mall Customers Dataset

Data Link: https://www.kaggle.com/shwetabh123/mall-customers

8. Google Trends Data Portal

Data Link: https://trends.google.com/trends/

9. The Boston Housing Dataset

Data Link: https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html

10. Uber Pickups Dataset

Data Link: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city

11. Recommender Systems Dataset

Data Link: https://cseweb.ucsd.edu/~jmcauley/datasets.html

Source Code: https://bit.ly/37iBDEp

12. UCI Spambase Dataset

Data Link: https://archive.ics.uci.edu/ml/datasets/Spambase

13. GTSRB (German traffic sign recognition benchmark) Dataset

Data Link: http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset

Source Code: https://bit.ly/39taSyH

14. Cityscapes Dataset

Data Link: https://www.cityscapes-dataset.com/

15. Kinetics Dataset

Data Link: https://deepmind.com/research/open-source/kinetics

16. IMDB-Wiki dataset

Data Link: https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/


17. Color Detection Dataset

Data Link: https://github.com/codebrainz/color-names/blob/master/output/colors.csv


18. Urban Sound 8K dataset

Data Link: https://urbansounddataset.weebly.com/urbansound8k.html

19. Librispeech Dataset

Data Link: http://www.openslr.org/12

20. Breast Histopathology Images Dataset

Data Link: https://www.kaggle.com/paultimothymooney/breast-histopathology-images

21. Youtube 8M Dataset

Data Link: https://research.google.com/youtube8m/

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