Become a data-driven decision maker with the
Data Science Program from Feitian College
We provide 1 year MS in Data Science
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Our university course in data science provides a comprehensive and in-depth understanding of data science concepts, techniques, and tools.
Data science is a highly sought-after field, and completing a data science course can open up numerous career opportunities in industries such as technology, finance, healthcare, and more.
Our programs are recognized and accepted by all universities in the United States. Flexible for transferring to apply the credits you have earned here towards your degree.
we offer you flexibility, choice, and cost-saving opportunities in your educational journey.
Our data science course will equip you with the skills required to analyze and interpret data, which are in high demand in many industries.
Our university courses in data science often have access to specialized software, databases, and other resources that may not be available to the general public.
Taking a data science course at university can provide opportunities to network with other students, instructors, and professionals in the field, which can be valuable for future career prospects.
We offer opportunities such as practical, hands-on experience through projects, internships. Our course in data science also serves as a solid foundation for further study in the field, such as our master's degree.
The field of data science is constantly evolving, and taking a course in university can help you stay up-to-date with the latest developments and advancements
o Data Scientist
o Machine Learning Engineer
o Data Analyst
o Data Engineer
o Big Data Engineer
o Database Administrator
o Data Science Consultant
o Business Intelligence Consultant
o Cybersecurity Data Analyst
o Information Security Analyst
o Threat Intelligence Analyst
o Artificial Intelligence Engineer
o Machine Learning Engineer
o Natural Language Processing Engineer
o Research Data Scientist
o Data Science Researcher
o Research Engineer
o Business Intelligence Analyst
o Data Visualization Specialist
o Data Governance Specialist
Calculus, linear algebra, probability, and statistics.
Python, R, SQL, and other programming languages.
Techniques for handling missing and corrupted data, feature scaling, and normalization
Techniques for visualizing and exploring data using tools such as matplotlib, ggplot, and Tableau.
Fundamentals of databases and data storage systems, including SQL and NoSQL databases.
Techniques for exploring and analyzing data using descriptive statistics, hypothesis testing, and regression analysis.
The theory and application of machine learning algorithms such as linear regression, decision trees, random forests, and deep learning.
Techniques for building and training deep learning models using tools such as TensorFlow and PyTorch
Techniques for processing and analyzing large amounts of data using tools such as Apache Spark and Hadoop
An introduction to ethical considerations and privacy concerns related to data science and machine learning
Alice
JOHN
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