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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

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🤖 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

⭐️ https://t.me/DataScienceT

✅ 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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Programming for everybody (getting started with python)

Free course from coursera:
https://www.coursera.org/learn/python

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