Learn Python for Data Science, including Pandas, NumPy, Matplotlib and Bokeh, to manipulate, analyze, and visualize datasets.
Data Engineering encompasses many roles and tasks.
SQL is a highly relevant programming language in data science and has been the requested skill in the tech industry for a long period.
Jupyter notebook is excellent for beginners and even better for experienced programmers as it supports more than 40 programming languages, primarily focused on Python.
Pandas is a Python library widely used by Data Scientists and Machine Learning engineers/ researchers.
R is used for efficient Data Science
Learning Mathematics for Machine Learning & Ai can be intimidating and this is why you must start with the basics or get a refresher to build Mathematical Intuition.
Learning Maths for Data Science is not an option