About the Course
Course Details:
Data Science Essentials is a comprehensive program designed to take students from the fundamentals of Python programming to building interactive web-based dashboards.
You will learn
to gain hands-on experience in handling and transforming data from various file formats (CSV, Excel,etc) while exploring essential skills in exploratory data analysis (EDA)
the data visualization techniques with a focus on design and analytical thinking, as well as the basics of predictive modeling using machine learning tools
Build and deploy interactive dashboards as web applications with real-world datasets and business-oriented analysis for practical decision-making
To build strong confidence and develop analytical and critical thinking skills, preparing students to be industry-ready.
Throughout the course, students will use real-world datasets to provide hands-on experience and develop a portfolio.
Who Can Apply?
Beginners in Data Science
Recent graduates or professionals switching to tech
Anyone with basic computer skills and interest in analytics
Prerequisite: No prior knowledge needed, but having basic programming language (any language) will be helpful
Course Duration
Data Science Essentials will run from Feb 7th to Mar 29th (8 weeks).
Time: Saturdays & Sundays (6.00 pm - 7.30 pm)
Course Fees:
MMK 300,000 (Three hundred thousand kyats)
Important Note:
There are no scholarships or financial aid available for the professional development courses.
How to Apply?
Interested students must complete registration before Jan 23, 2026.
Register here: https://forms.gle/F3EKQ5hYBXUn76cw8
Each course is limited to a maximum of 30 participants, so early registration is strongly encouraged.
For more information, please contact us via page messenger or continuingeducation@parami.edu.mm.
Dr. Nwe Nwe Htay Win
Dr. Nwe Nwe Htay Win is currently serving as a faculty member in the Faculty of Mathematics and Science at Parami University.
She holds a Ph.D. in Information Technology (IT) from the Harbin Institute of Technology in China. Additionally, she has over a decade of experience in both research and teaching in China and Myanmar, as well as industry expertise as a Machine Learning Engineer at leading AI companies.