What do you need to know to get into Data Science as a Beginner?

Data Science is a combination of Programming & Statistics, so to be a data scientist you need to have knowledge of at least one programming language, preferably Python/R as there is a good amount of people/communities who use these languages to build their models.

For a complete beginner, Python is easy to learn. Some of the basic tools used in data science from Python stack.

Jupyter Notebooks – IDE.
Pandas – library for data manipulation and analysis.
Numpy – library for scientific computing.
Matplotlib & Seaborn – library for data visualization.
Scikit-Learn – library for machine learning.

Good mathematical knowledge helps to make a better judgment while choosing a procedure (algorithm) based on the data available to you and also to diagnose the problems.

Data Science Prerequisites HackerHeap Diagram

If you don’t have time to go through the theory, start with a tutorial. Follow the tutorial step-by-step. After you complete a tutorial, apply what you learned to new datasets. You can find some sample datasets online (https://www.kaggle.com/datasets). If you try the same modeling on a new dataset, you might run into a new issue. Upon doing some research, you might discover data issues in the dataset like different formats, or missing values.

If you are looking for more resources https://www.coursera.org/https://www.datacamp.com/ offers some good and free courses.