Alan profilen og dens kontaktoplysninger er blevet bekræftet af vores eksperter
Alan
- Pris 180 kr.
- Svartid 1h
-
Elever1
Antal elever ledsaget af Alan siden deres ankomst til Superprof
Antal elever ledsaget af Alan siden deres ankomst til Superprof
180 kr./t.
Se underviserne fra matematik
Denne underviser er desværre ikke tilgængelig
- Matematik
- Statistik
- Matematisk logik
- IT
Data scientist with 4+ years of experience developing IT solutions, mathematical modelling, and statistical analysis.
- Matematik
- Statistik
- Matematisk logik
- IT
Undervisningens placering
-
Hos Alan : København
- webcam
-
Om Alan
I am a Colombian Data scientist living in Denmark for the last two years. I just completed my master's degree at the University of Copenhagen (KU), and I want to help others with the skills I have gained. I can also share you facts about South America, our traditions, music, and vibes.
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Om undervisningen
- Alle niveauer
- Dansk
Alle sprog, der kan tales under lektionen :
Dansk
Teaching Techniques and Methods:
My teaching philosophy is centered around fostering critical thinking and real-world problem-solving skills in students. I combine traditional instructional methods with interactive and hands-on learning, ensuring students not only understand theoretical concepts but also know how to apply them practically.
- Real-world Applications: Drawing from my professional experience in data science and analytics, I present examples that relate to current industry challenges, making abstract concepts in mathematics, statistics, and IT tangible and relevant.
-Active Learning: I use collaborative group work, problem-based learning, and coding workshops (e.g., Python, R, SQL) to engage students actively in their learning. This approach helps them build analytical skills and develop confidence in problem-solving.
- Technology-Enhanced Instruction: Utilizing digital tools such as Power BI, Tableau, and Python notebooks, I provide data visualizations and simulations, making complex topics easier to understand and more engaging for students.
- Individualized Support: I assess students' learning styles and adapt my teaching methods to ensure everyone can succeed, whether through extra materials, online resources, or one-on-one guidance.
A Typical Lesson Plan:
Introduction:
- Review of the previous lesson and a quick overview of today’s learning objectives.
- Present a real-world example or case study that the day’s lesson will help solve (e.g., predicting customer churn using statistics or building simple algorithms).
Concept Explanation:
- Explain the key concepts, theory, or methods (e.g., linear regression in statistics or programming).
- Use data visualizations or coding examples to illustrate the topic.
Interactive Practice:
- Students work through guided problems, individually or in groups. For math/statistics, this could involve solving equations or using software like R or Python for data analysis. In IT, they could build small applications or work on code challenges.
- I provide support and feedback, ensuring students are on track and addressing any confusion immediately.
Wrap-Up and Discussion:
- Group discussion to review the solutions, reflect on any difficulties, and relate the lesson to broader concepts or upcoming material.
- Set assignments or suggest further reading for deeper understanding.
Special Characteristics as a Teacher:
- Practical Experience: My background in applying data science, machine learning, and analytics in various industries allows me to offer students insights into how the skills they’re learning translate into professional success. This bridges the gap between theory and practice.
- Adaptability and Inclusiveness: I tailor my lessons to accommodate different learning paces and levels of expertise, ensuring all students feel comfortable and supported, from beginners to more advanced learners.
Communication Skills: I prioritize clear, structured communication, which helps students grasp challenging concepts and feel confident in their abilities. My ability to break down complex ideas and present them simply is a strength.
- Passion for Mentorship: My experience as a teaching assistant and workshop leader has honed my ability to mentor students effectively. I strive to inspire curiosity and a love for continuous learning.
Who Do I Teach (Grade, Level, Class, Special Conditions, etc.):
I teach students at various levels, including:
- Secondary and High School (Grades 10-12): For students preparing for higher education or professional paths in data science, math, or computer science.
- University Level: Undergraduates or graduate students in mathematics, statistics, or IT-related courses. I emphasize advanced topics like statistical modeling, machine learning, and data analysis.
- Professional Training: Adults and working professionals seeking to upgrade their skills in data science, IT, and data visualization tools like Python, Power BI, or Tableau.
Additionally, I am prepared to work with diverse classrooms, including international students, those with learning difficulties, or students with different language proficiencies.
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Priser
Pris
- 180 kr.
Pakkeløsninger
- 5 lektioner: 900 kr.
- 10 lektioner: 1800 kr.
webcam
- 180 kr./t.
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