1. Develop engaging and informative tutorial videos on core Data Science topics, including Python programming, Machine Learning algorithms, and Deep Learning techniques.
2. Present concepts clearly with excellent verbal communication and presentation skills, recording your face to create a more personalized and relatable viewer experience.
3. Simplify complex technical topics for learners at various skill levels, ensuring tutorials are easy to follow and understand.
4. Design step-by-step tutorials that cover both theory and practical coding demonstrations.
5. Create content that balances both hands-on coding exercises and high-level conceptual explanations.
6. Plan content strategically based on emerging trends and demands in Data Science, Python, and AI fields.
7. Incorporate real-world examples and projects in tutorials to provide learners with practical applications of data science techniques.
8. Record video content with high-quality visuals and audio, including screen sharing and live coding demonstrations.
9. Use professional editing tools to create polished, well-paced videos with smooth transitions, annotations, and captions.
10. Incorporate creative elements such as animations, diagrams, and infographics to enhance learning and retention.
Skill(s) required
Data AnalysisData ScienceDeep LearningMachine LearningMicrosoft AzureMicrosoft Visual StudioMS-OfficeMS SQL ServerPower BIPythonVideo EditingVideo Making