Purdue University

Designed for postgraduate students, this program delivers professional training in data science from Purdue University and IBM. Students learn to program in both R and Python as they learn the essentials of data structures and functions. Then, students gain experience with tools such as NumPy, Pandas, SciPy, and Tableau to perform data analysis and build machine learning models. At the end of the program, students earn certification from Purdue as well as certificates from IBM and Simplilearn and benefit from Simplilearn Career Services.

Postgraduate students interested in acquiring skills for digital marketing can take this course, produced in partnership with Meta and eligible for six transferable credits from Purdue University. The course covers important subjects such as keyword research, ads and analytics, content development, website optimization, and SEO. Students also get experience with social media marketing for major platforms iclduing Facebook, Twitter, Instagram, LinkedIn, and YouTube. After completing several hands-on projects, students earn a certificate from Purdue and Simplilearn and work with Simililearn Career Services.

For postgraduate students seeking training in machine learning, this program offers the opportunity to earn certificates from Purdue University and IBM. The course covers major topics in artificial intelligence and machine learning, including supervised and unsupervised learning, natural language processing and neural networks, reinforcement and ensemble learning, and computer vision. Students learn Python for machine learning and gain experience with essential tools, such as scikit-learn, Matplotlib, TensorFlow, and voice recognition systems. With four hands-on projects and Simplilearn Career Services, students develop critical skills for landing a job in machine learning.

After studying in this postgraduate program, a collaboration between Purdue University and IBM, students will possess critical skills for performing professional data analytics. With language and tools like Python, R, Microsoft Excel and Power BI, Pandas, NumPy, Tableau, scikit-learn, and SciPy, students develop skills in performing data analytics and data visualization as well as building regression and supervised learning models. Students complete four hands-on projects, including a capstone, using real-world datasets. By the time they finish the program, students will have earned certificates from Purdue, IBM, and Simplilearn as well as had the opportunity to work with Simplilearn Career Services.