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Design, develop, and deliver engaging lessons on data analytics topics including data processing, visualization, statistics, machine learning basics, and business intelligence.
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Teach tools and platforms such as Excel, SQL, Python, R, Power BI, Tableau, and Google Analytics.
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Guide students through hands-on projects, case studies, and real-time data analysis tasks.
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Create lesson plans, assignments, assessments, and grading rubrics aligned with curriculum standards.
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Stay updated with industry trends and incorporate modern analytics techniques into the curriculum.
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Provide mentorship and academic support to students, helping them build strong analytical and problem-solving skills.
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Evaluate student performance and provide timely feedback to promote learning progress.
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Collaborate with other faculty and academic teams to enhance course delivery and student outcomes.