This data analytics course introduces students to the fundamentals of data, charting the evolution to modern day analytics processes and data literacy. Data literacy is the ability to work with data and analytics properly, and students will focus on a variety of topics including distributions, regression analysis and statistical concepts. These data decision making techniques can be applied to a variety of industries, as well as sciences to verify or disprove existing models or theories.
After completing this course students will be able to:
- Examine the purpose of data analytics in the real world.
- Apply fundamental concepts of data and distributions.
- Explore regression analysis and affected relationships among variables.
- Use common techniques to distinguish statistical significance.
- Identify advanced concepts in data analytics.