Why Data Analysts Are Needed in Today’s Workforce
Data Analytics is a process of extracting information from raw data and generating actionable insights. It’s one of the most sought-after skills in the IT (information technology) marketplace, with demand spanning multiple sectors such as healthcare, finance, retail, real estate, education, gaming, and more.
Data Analytics is about using data to make future decisions. It’s used to help companies solve problems, such as reducing risk, improving operations, or detecting fraud. Data Analytics also heavily emphasizes data visualization to communicate your findings to others.
Learn with Real-World Projects
This applied, project-based course prepares students to gather, wrangle, analyze and visualize data using various tools and technologies to help businesses in decision-making and strategy. Students will also have the opportunity to work on multiple real-world projects to advance their careers in analytics.
In this training, you’ll explore both predictive and prescriptive analytics by looking at case studies:
- Predictive analytics use regression models or forecasting techniques to examine past data to predict future outcomes.
- Prescriptive analytics help optimize decision-making with constraints with such tools as Scenario Manager and Solver.