Professional
Programs.
Short courses, workshops and certificate programs designed for working professionals, lecturers, and lifelong learners. Each program is led by industry experts or senior UTE faculty.
5 programs available.
Data Engineering from Beginner to Advanced
The Data Engineering from Beginner to Advanced course is a comprehensive program designed to equip learners with the skills required to design, build, and manage modern data engineering systems. Participants will learn how to collect, store, process, and analyze large-scale data using industry-standard tools and technologies. The course covers data warehouses, data lakes, distributed systems, real-time data streaming, machine learning integration, and business intelligence reporting.
Data Science professional
The Data Science Professional course is a comprehensive, industry-oriented program designed to prepare learners for professional roles in data science. Participants will gain expertise in data analysis, statistics, machine learning, and deep learning using industry-standard tools such as Python, Excel, R, and multiple database systems. This course emphasizes hands-on projects, real-world datasets, and end-to-end data science workflows.
Big Data Analytics
The Big Data Analytics with PySpark course introduces learners to big data processing and analytics using Apache Spark with Python (PySpark). Participants will learn how to handle large-scale datasets, perform distributed data processing, apply machine learning techniques, and integrate multiple data storage systems. The course also covers data visualization and reporting using Power BI, providing end-to-end big data analytics skills.
Statistical Analysis with R Programming
The Statistical Analysis with R Programming course is designed to equip learners with strong statistical analysis skills using the R programming language. Participants will learn how to perform data analysis, apply statistical methods, and interpret results effectively. The course combines statistical theory with hands-on R programming, making it ideal for students, researchers, and professionals who work with data-driven decision-making.
Python for Data Science Fundamentals
The Python for Data Science Fundamentals course is designed to introduce participants to the essential concepts and techniques of data science using Python. Through a combination of theory and hands-on projects, learners will acquire the skills needed to manipulate data, perform statistical analysis, visualize data, and build predictive models. This course is perfect for beginners and those looking to enter the field of data science with a strong foundation in Python programming.
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