Data science and analytics

Question

Which programming language is suitable to learn for Data science .

Answer 1

Python. You knew that already though, didn't you?

Answer 2

Python

Answer 3

The most suitable programming languages to learn for data science are:

1. Python (Most Popular)
Easy to learn, read, and write.
Tons of libraries: Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow.
Used for: data cleaning, analysis, visualization, machine learning.
Best for beginners and professionals alike

2. R
Built specifically for statistical analysis and data visualization.
Preferred in academic and research settings.
Libraries like ggplot2, dplyr, caret.
Best for: statistics-heavy or research-focused projects

3. SQL
Not for programming models but essential for working with databases.
Used to extract and manipulate data before analysis.
Works with tools like BigQuery, PostgreSQL, MySQL.