Hasan

Rate 275 BWP
Response 1h

275 BWP/hr

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Maths
Trigonometry
Calculation
Computing
Pre-calculation

Data Scientist with a B.S in Data Science and a domain focus in Finance, teaching MATH, STATISTICS, AND PYTHON PROGRAMMING

Maths
Trigonometry
Calculation
Computing
Pre-calculation

Lesson location

- Online

About Hasan

Data Scientist with a B.S in Data Science and a domain focus in Finance. Individual with high energy, ability to multitask in a fast-paced environment and a resourceful team player with the aptitude to identify and solve problems. Insatiable intellectual curiosity, possessing skills such as proficiency in mining and manipulation of large data sets, advanced skills in Excel and the experience with delivering high quality presentations.

About the lesson

Teaching Method and Techniques
My teaching method is centered around a student-first approach, ensuring that each concept is clearly understood before moving on to the next. I utilize a blend of theoretical explanations and practical applications, making use of real-world examples to bring abstract concepts to life. Key techniques include:

Interactive Learning: Engaging students through questions, discussions, and hands-on exercises.
Step-by-Step Guidance: Breaking down complex problems into manageable steps to ensure comprehension.
Visual Aids: Employing charts, graphs, and visualizations to clarify statistical concepts and data structures in Python.
Practice-Based Learning: Encouraging students to solve problems independently while providing guidance and support when needed.
Feedback and Assessment: Offering regular feedback on assignments and projects to help students track their progress and identify areas for improvement.

Typical Lesson Plan
A typical lesson plan for a one-hour session might look like this:

Introduction (5 minutes):

Brief review of the previous lesson.
Overview of the day's objectives.
Concept Explanation (15 minutes):

Introduction to new topics with theoretical background.
Use of examples to illustrate key points.
Interactive Discussion (10 minutes):

Engage students with questions to assess their understanding.
Encourage students to share their thoughts and ask questions.
Hands-On Practice (20 minutes):

Work through practical exercises or coding problems related to the topic.
Provide step-by-step guidance and support as students work independently.
Summary and Q&A (10 minutes):

Real-World Experience: As a practicing data scientist, I bring real-world insights and applications to my teaching, helping students understand how concepts are applied in professional settings.
Customized Approach: Tailoring lessons to meet the individual needs and learning styles of each student, ensuring that they get the most out of each session.
Holistic Learning: Focusing not only on the technical aspects but also on developing critical thinking and problem-solving skills.
Resourcefulness: Providing a wealth of resources, including coding examples, datasets, and further reading materials to supplement learning.

My lessons are designed for:
Everyone !
Degree-Level Students: Undergraduates or postgraduates in data science, computer science, mathematics, or related fields.
Aspiring Data Scientists: Individuals aiming to transition into data science roles and needing a strong foundation in math, statistics, and Python.
Professionals Seeking Skill Enhancement: Working professionals looking to enhance their analytical and programming skills for career advancement.
Specific Classes and Levels:
Introductory to Advanced Python Programming
Fundamental to Advanced Statistics
Applied Mathematics for Data Analysis
By focusing on these areas and employing a structured, student-centric approach, I aim to provide a comprehensive and engaging learning experience that empowers students to achieve their academic and professional goals.

Data Scientist with a B.S in Data Science and a domain focus in Finance, teaching MATH, STATISTICS, AND PYTHON PROGRAMMING

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About Hasan

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