Programming for Analytics using Python

No prerequisites

1. Write a Python program by implementing concepts of variables, strings, functions, loops, conditions
2. Understand the nuances of lists, sets, dictionaries, conditions and branching, objects and classes

1. Lesson: Python Basics
2. Lesson: Python Data Structures
3. Lesson: Python Programming Fundamentals

Students will review Python with this introductory course and familiarize themselves with programming. Carefully crafted by EBU, upon completion of this course students will be able to write Python scripts, perform fundamental hands-on data analysis using the Jupyter- based lab environment, and create their own projects.

The online delivery blends synchronous and asynchronous components. Students complete self-directed assignments hosted on the course platform. Weekly Forums support a required active, rubric-based student contributions that foster collaboration

Exams may include essays, short answers, or MCQs. Formats include open/closed book. Time zones are considered. Assessments are formative and summative. Students have 2 weeks to review grades and must follow the appeal process in the Student Handbook.

Certificate

Please note that there are three semesters as intake periods as noted on the academic calendar.
Scholarship Awarded (Total Fee: €100)

Registration is done online.