Data Science

Python is the most popular choice, followed by R for statistical analysis. SQL is also essential for working with databases. Most courses focus on Python with libraries like pandas and scikit-learn.

Basic statistics and probability are essential. Linear algebra and calculus are helpful for understanding ML algorithms. Many courses teach the necessary math concepts alongside practical applications.

Data science is a broader field encompassing data collection, cleaning, analysis, and visualization. Machine learning is a subset focused on building predictive models from data.

Work on real-world projects using public datasets from Kaggle or government sources. Document your analysis process, share code on GitHub, and write about your findings to showcase your skills.