Data Science

Data Science: The Hard Parts: Techniques for Excelling at Data Science, Daniel Vaughan
2023 || #ENG

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Introduction to Data Science: Data Analysis and Prediction Algorithms with R
Аuthor : Rafael A. Irizarry (2019)

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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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Data Mining
Charu C. Aggarwal, 2015


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