DATA SCIENCE ROADMAP

In this repository , I will share the own roadmap I followed to become a data scientist and the work I did while approaching this goal. People with the same goal can progress through this path, or professional people can refresh and test their knowledge.

What Will Be Included In This Roadmap

• Python 🐍

• Algorithms 🧩

• Pandas, Data Visualization (matplotlib or seaborn) 📊

• Statistics and Math for Data Science 📏

• Machine Learning 🤖

• SQL 🗃️

• BI Tool (Power BI or Tableau) ⛏️

• Deep Learning 🧠

1 - Python 🐍

• Variables, Numbers, Strings
• Lists, Dictionaries, Tuples
• If Condition, Loops
• Functions, Modules
• Files, Exception Handling
• Classes, Objects

Here All Problems And Solutions For Python Part

2 - Algorithms 🧩

• 13 Excellent Algorithm Problems to Test Your Algorithm Knowledge

Here All Problems And Solutions For Algorithm Part

For High-Level Algorithms, You Can Browse Here.

3 - Pandas, Data Visualization (matplotlib or seaborn) 📊

• Numpy
  • Numpy Folder : Here All Numpy List
• Pandas
  • Pandas Folder : Here All Pandas List
• matplotlib
  • matplotlib Folder : Here All Matplotlib List

Here All Problems And Solutions For Data Visualization Part

4 - Machine Learning 🤖

• Feature engineering
• Regression
• Classification
• Clustering