Data science is a fast-evolving field and offers many employment opportunities for people with a robust operational analysis background. In recent years, technological development in data collection and storage and innovations in data science tools and methodologies have made it even more important to have properly trained data analysts and data scientists to perform data analyses to gain business insights.
Iqra University designed the Data Science with Machine Learning bootcamp to provide accelerated training to fulfill the need for data science professionals in the employment market. The objective of the Data Science Bootcamp is to provide training in primary data science tools and methods that prepares students for employment opportunities across all industries as data science professionals.
The Data Science with Machine Learning bootcamp is an advanced certificate program that is designed primarily for individuals who have earned a baccalaureate or higher degree and want to further their career in the field of data science. It is a very accelerated training program in which students learn the major tools and methods for performing data analyses and apply them to various projects typically found in the data science field.
At the foundation level of the program, students learn to employ R and Python for data analytics projects and for presenting research results effectively. Beyond the foundational level, students study machine learning with Python and carry out research projects that involve advanced data science methods and strategies. The program also exposes students to concepts and practices in deep learning and big data.
Access to online prework to prepare for an accelerated, immersive learning at Iqra University.
Data analytics using R, Python, and other tools and methods; two application projects.
Foundation of statistics, regressions, classifications, model selections, unsupervised learning, and Machine Learning Project in a group.
Work with team members to design and complete a culminating project that uses real-world datasets.
Career development strategies and post- bootcamp activities to seek employment in the data science field.
Once students are enrolled in the bootcamp, they are granted access to our online, self-paced pre- work materials to get prepared in linear algebra, statistics, and some foundational work in coding.
Enrolled bootcamp students can also choose to take part-time, beginner-level courses hosted at our main campus for preparation. Tuition paid for such courses will be credited as part of bootcamp tuition.
The capstone project is designed for students to employ the major data science concepts, tools, and methods they have learned in the program to solve a business operational problem with real data sets from a real business entity. Students are presented data sets and potential problems to solve. Students are then required to form project teams, develop a project proposal for instructor review and approval, and execute the project. When the project is completed, each project team is required to present the project findings and share the business insights obtained from the research.