1st lesson free
Fran profile and its contact details have been verified by our experts
Fran
- Rate R817
- Response 9h
-
Students7
Number of students Fran has accompanied since joining Superprof
Number of students Fran has accompanied since joining Superprof
R817/h
Contact
1st lesson free
- Databases
- MySQL
- Data Analysis
- Informix
University of California, Berkeley Graduate school Alumni | Bioinformatics & Data Science | 8 years experience mentoring students.
- Databases
- MySQL
- Data Analysis
- Informix
Lesson location
About Fran
Graduated from the University of California, Berkeley with a Masters in Integrative Biology & Computational Biology. I have mentored students in bioinformatics for the past 8 years. I specialize in teaching reproducible code in python, R, SQL. Experienced in various models of machine learning and can help you create training data! Passionate about teaching data science and hope to help students develop their skills and reach their goals!
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About the lesson
- Primary
- Secondary
- Matric/GCSE
- +12
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Masters
Doctorate
MBA
Beginner
Intermediate
Advanced
Professional
Kids
- English
Languages in which the lesson is available :
English
1 Teaching Method and Techniques:
• Interactive Learning: I believe in fostering active participation and engagement from my students. Instead of simply lecturing, I encourage discussions, ask probing questions, and assign hands-on exercises to reinforce learning.
• Visual Aids and Examples: I utilize visual aids such as diagrams, charts, and real-world examples to make abstract concepts more tangible and easier to grasp.
• Practical Application: I emphasize the practical application of data science concepts by incorporating case studies and projects that simulate real-world scenarios. This helps students understand how to translate theory into actionable insights.
• Feedback and Guidance: I provide constructive feedback and guidance to help students identify their strengths and areas for improvement. I also offer additional resources and support outside of scheduled sessions to ensure students feel supported in their learning journey.
2 Typical Lesson Plan:
• Introduction and Review: Begin by reviewing previous material and setting learning objectives for the session.
• Concept Exploration: Introduce new concepts or techniques through explanations, examples, and demonstrations.
• Hands-On Practice: Provide opportunities for students to apply what they've learned through guided exercises or projects.
• Discussion and Q&A: Facilitate discussions to reinforce understanding and address any questions or challenges students may have.
• Wrap-Up and Recap: Summarize key takeaways from the lesson and outline any homework assignments or additional resources for further study.
3 What Sets Me Apart as a Tutor:
• Holistic Approach: I believe in taking a holistic approach to teaching data science, integrating theoretical knowledge with practical skills and real-world applications.
• Personalized Attention: I tailor my teaching approach to meet the individual needs and learning styles of each student, providing personalized attention and support.
• Industry Experience: Drawing on my own experience working in the field of data science, I offer valuable insights and practical advice that go beyond textbook knowledge.
• Passion for Teaching: I am genuinely passionate about teaching and empowering others to succeed. My enthusiasm for data science is contagious, motivating students to actively engage with the material and pursue their own learning goals.
4 Who the Lessons Are For:
• My lessons are suitable for a wide range of students, from beginners with no prior background in data science to intermediate learners looking to deepen their knowledge and skills.
• They may be pursuing degrees or certifications in fields such as computer science, bioinformatics, statistics, business analytics, or related disciplines.
• I can also tailor lessons to specific needs or interests, whether it's preparing for exams, completing a data science project, or advancing in a career in data analysis or machine learning.
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Rates
Rate
- R817
Package rates
- 5h: R4084
- 10h: R8168
online
- R817/h
free lesson
The free first lesson with Fran allows you to get to know the tutor and discuss your needs and expectations.
- 30min
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