To be effective in a competitive business environment, analytics professionals need to use descriptive, predictive, and prescriptive analytics to translate information into decisions. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends. In Strategies and Concepts for Data Scientists and Business Analysts training course, you will gain the skills data scientists and statistical business analysts must have to succeed in today's data-driven economy. Learn about visualizing big data, how predictive modeling can help them find hidden nuggets, the importance of experiments in business, and the kind of value that they can gain from unstructured data.
By attending Strategies and Concepts for Data Scientists and Business Analysts workshop, delegates will learn to:
- Express a business problem as a manageable analytical question
- Identify the appropriate analysis to address the question
- Visualize and explore data
- Select statistical analyses that help answer the question
- Translate complex statistical results into actionable business decisions
Knowledge in statistics - distribution analysis, hypothesis testing, and regression techniques.
This Strategies and Concepts for Data Scientists and Business Analysts class is aimed at Statisticians, market researchers, information technology professionals, data scientists, and business analysts who want to make better use of their data.