- Help students learn, understand, and practice data analytics and data mining techniques,
- Understand the study of modern computing big data technologies and scaling up machine learning techniques focusing on industry applications.
- Define the conceptualization and summarization of big data and machine learning and trivial data versus big data,
- Elaborate computing technologies for statistical modelling like R and Python for machine learning techniques, and scaling up machine learning approaches.
- Develop in depth understanding of the key technologies in data science and business analytics: data mining, machine learning, visualization techniques, predictive modeling, and statistics.
- Practice real life data problem analysis and decision-making.
- Gain practical, hands-on experience with statistics programming languages and big data tools through coursework and applied research experiences.
