Anzeigenbeschreibung
With over four years of diverse teaching experience across various platforms, including classroom and private lectures, my teaching philosophy centers on creating an engaging, interactive, and student-focused learning environment. I strive to foster a deep understanding of complex subjects such as Statistics, Finance, Python, R, SAS, Machine Learning, Mathematics, and Investment, by employing a variety of innovative teaching methods tailored to meet the unique needs of each student.
- Interactive Online Teaching Methods: In my online classes, I utilize a range of interactive tools and techniques to enhance learning and maintain student engagement and I often use the flipped classroom model, where students are provided with pre-recorded lectures, reading materials, and problem sets before the live class.
- Discussion Forums and Q&A: Platforms like Moodle and Edmodo are used for continuous interaction. Students can post their queries, share insights, and collaborate on projects outside of live class hours, fostering a community of learning and tools such as Kahoot, Mentimeter, and Quizlet are integrated into lessons to make learning more engaging.
- Project-Based Learning: Especially in subjects like Python, R, Machine Learning, and Investment, I emphasize project-based learning. Students work on real-world projects, which helps them apply theoretical knowledge to practical scenarios.
I have an expertise in below subjects and topics:
- Statistics: Covers descriptive statistics, probability, inferential statistics, hypothesis testing, regression analysis, and statistical software applications.
- Programming (Python, R, SAS): Ranges from basic syntax and data structures to advanced topics like data manipulation, visualization, machine learning algorithms, and software development.
Machine Learning: Includes supervised and unsupervised learning, neural networks, natural language processing, model evaluation, and practical implementation using Python and R.
