The Data Scientist's Toolkit

1.Programming Languages:

 

Python, R, and SQL for data manipulation.

 

2.Data Libraries:

 

Pandas, NumPy, Scikit-Learn for Python.

Matplotlib, Seaborn for visualization.

 

3.Big Data Frameworks:

 

Apache Spark and Hadoop for handling large datasets.

 

4.Machine Learning:

 

Algorithms like regression, decision trees, and neural networks.

 

5.Data Visualization:

 

Tools like Tableau and D3.js for creating insightful visuals.

 

Done