Data Sciences
Data science is a multidisciplinary field that combines statistics, programming, machine learning, and domain knowledge to extract insights from data and solve real-world problems. Students who study data science can develop valuable skills such as data analysis, data visualization, data engineering, data communication and data ethics.
Data science is a multidisciplinary field that combines statistics, programming, machine learning and domain knowledge to extract insights from data and solve real-world problems. Students who study data science can develop valuable skills such as data analysis, data visualization, data engineering, data communication and data ethics. Data science can also open up many career opportunities in various industries such as finance, healthcare, education, e-commerce, social media and more.
According to the U.S. Bureau of Labor Statistics, the demand for data scientists is expected to grow by 15% from 2019 to 2029, much faster than the average for all occupations. The median annual wage for data scientists was $98,230 in May 2020. Data scientists can work as analysts, engineers, consultants, managers or researchers in different sectors and organizations.
1. Earning Potential
2. Diverse employment opportunities
3. Career outlook
4. Modern and trending skill
THE PROGRAM AIMS TO EQUIP STUDENTS AND PROFESSIONALS WITH THE SKILLS AND KNOWLEDGE NEEDED TO THRIVE IN THE DIGITAL ECONOMY AND TO FOSTER CROSS-CULTURAL COLLABORATION AND INNOVATION.
THE DATA SCIENCE COURSE SHOULD COVER THE FOLLOWING TOPICS:
1. INTRODUCTION
2. PROBABILITY
3. STATISTICS
4. INTRODUCTION TO PYTHON
5. ADVANCED METHODS IN PYTHON
6. MATHEMATICS
7. DEEP LEARNING
8. PROJECT
