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Prerequisites for learning predictive analysis include algebra, basic statistics, and skills using a spreadsheet program, such as Excel. Data analytics for business, which includes analytical processes such as data creation, data storage, and accessibility of data can typically be learned before moving into the study of predictive analysis. Experience working with data can also help when starting to learn predictive analysis. These areas of analytics can serve as a foundation for more advanced analytic topics, such as predictive analysis. Advanced mathematics and good reading skills can also be helpful to have before starting to learn predictive analysis. Additionally, regression analysis and data cleansing are two other areas to consider learning before starting to study predictive analysis.
People who enjoy analytical thinking and solving complex numerical problems and who also enjoy math and computer science are typically best suited to predictive analysis roles. Patience and willingness to go over the same data set over and over to find key bits of information are two qualities of people who are likely to do well in this area of data analysis. These are typically people who are creative and curious and who have advanced technical skills. Additionally, people who are well suited to predictive analysis also typically have excellent written and verbal communication skills and good decision-making skills.
Business management is a topic you can study that’s related to predictive analysis. Business management requires good decision-making, and analytics can help you make more informed decisions. According to the Bureau of Labor Statistics, analysts who are working in operations management typically have degrees in the related fields of management science, computer science, engineering, and other technical or quantitative study areas.
Raw materials and manufacturing companies typically hire people who have predictive analysis backgrounds for job titles like predictive analysis engineer and data analyst. Educational facilities are another type of place that can hire people who have backgrounds in predictive analysis for teaching positions. Health care facilities, financial institutions, and retail facilities can be potential employers for people in this field. People who have predictive analysis backgrounds could also be hired by IT companies that manage large quantities of numerical data.