Learn a bit about the following points
Statistical programming languages are used by data analysts to present, analyze, and interpret data. Typically, data analyst job descriptions may specify which programming languages are preferred. But, you’re secure if you have Py or R experience, as those are the most prevalent
Data analysts work with a variety of tools and software to do their tasks. Google Sheets and Spreadsheet are ubiquitous throughout all businesses, whereas SQL is a more complex technology that able to work with bigger volumes of data.
Complex data must be made understandable by data analysts. The position requires excellent communication skills, as well as the use of visualization and presentation tools such as Tableau and Jupyter Notebook.
Most data analysts have a strong grasp of math and statistics, which aids in the detection of data mistakes and the more effective interpretation of data.
If not comfortable join a course.