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๐Ÿ”ฅ Data science path without complexity (Data Science Roadmap):

๐Ÿ‘จโ€๐Ÿ’ป Programming:
Python ๐Ÿ
R ๐Ÿ“Š
Java โ˜•
SQL ๐Ÿ“‚

๐Ÿ“Š Mathematical foundations:
Statistics ๐Ÿ“ˆ
Linear algebra ๐Ÿ”ข
Differentiation and integration
Classification mathematics ๐Ÿ“

๐Ÿ“ˆ Data analysis:
Feature Engineering ๐Ÿ› ๏ธ
Data Wrangling ๐Ÿ“‘
Interpretative data analysis (EDA) ๐Ÿ”

๐Ÿค– Machine Learning:
Classification ๐Ÿท๏ธ
Regression ๐Ÿ“ˆ
Reinforcement Learning ๐ŸŽฎ
Deep Learning ๐Ÿง 
Dimensionality Reduction ๐Ÿ”
Clustering ๐Ÿงฉ

๐Ÿ•ธ๏ธ Collect data from the web:
Beautiful Soup ๐Ÿฒ
Scrapy ๐Ÿ•ท๏ธ
URLLIB ๐ŸŒ

๐Ÿ“Š Graphical visualization:
Tableau ๐Ÿงฎ
D3.js ๐ŸŒ
Scatter Plot ๐Ÿ“ˆ
Power BI ๐Ÿ“‰
ggplot2 ๐Ÿ“Š

๐Ÿš€ 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

Join our Community ๐Ÿ‘‡

https://linktr.ee/groupforprogrammers

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