Develop and deliver engaging data analysis/Data science curriculum.
Collaborate with colleagues to innovate and enhance learning experiences.
Assess and assure the quality of teaching and learning processes.
Engage with students to inspire and guide their educational journey.
Prepare exams: Create and administer tests and quizzes to assess student learning.
Prepare lesson plans: Outline the objectives of each lesson, select appropriate materials and activities, and develop assessments.
Provide high-quality teaching: Be knowledgeable about the subject matter, be engaging and enthusiastic in the classroom, and create a positive learning environment.
Maintain student records: Keep track of student attendance, grades, and progress.
Provide feedback to students: Give students constructive feedback on their work and help them to improve.
Participate in professional development: Attend workshops, conferences, and other training opportunities to stay up-to-date on the latest teaching methods and technologies.
Collaborate with other instructors: Work with other instructors to develop and implement curriculum, share resources, and provide support to students.
Advise students on academic and career matters: Help students choose courses, set academic goals, and prepare for the workforce.
Qualifications:
Bachelor's degree or higher in statistics, data science, computer science, or a related computing field.
English speaker or Academic IELTS 6.5 or higher.
At least 3 years of teaching experience in post-secondary, technical, or vocational education.
Minimum of 2 years of relevant industry experience in data science jobs and using data science languages (R, Python, etc.) and data visualization applications (Tableau, Power BI, etc.).
Experience in using Smartboards, MS Office, Google Classrooms, Moodle, and online teaching.