Mohammed Asif

Concept-focused Data Analysis tutor with hands-on practical and interactive lessons

4.6(48)

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Mohammed Asif

Bachelors degree

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Each lesson is 55 min

50 lessons


20% off

/ lesson

30 lessons


15% off

/ lesson

20 lessons


10% off

/ lesson

10 lessons


5% off

/ lesson

5 lessons


-

/ lesson

1 lessons


-

/ lesson

Rated 4.6 out of 5 stars.
★★★★★
Popular
Highly skilled & top-rated
48 ratings
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About your data science tutor

Hello! I'm Mohammed Asif, a dedicated Data Science and Mathematics tutor with a Bachelor's degree in Computer Science. I bring several years of teaching experience, including tutoring at Codeyoung, where I helped students from diverse backgrounds grasp foundational to advanced concepts. My expertise spans across Data Analysis, Databases, Machine Learning, Power BI, Python, Statistics, and Microsoft Excel, as well as a solid foundation in Mathematics, including algebra, calculus, and geometry. My teaching philosophy is centered around simplifying complex topics and ensuring students can understand and apply them confidently. I employ a mix of interactive lessons, real-world examples, and hands-on projects to make learning both engaging and practical. Whether you're delving into the intricacies of statistics or learning to build machine learning models, I aim to break down challenging subjects into digestible parts. In Mathematics, I focus on making the subject approachable and enjoyable by identifying student challenges, addressing mistakes effectively, and delivering clear explanations. By fostering critical thinking, I strive to not just teach concepts but also help students develop problem-solving skills essential for success in both academia and professional settings. Ultimately, my goal is to instill confidence, ignite curiosity, and empower my students to excel in Data Science and Mathematics. Let's embark on this learning journey together!

Meet Mohammed

Data Science tutor skills

Data visualization icon

Data visualization

GCSE (UK) icon

GCSE (UK)

Next Generation Science Standards - NGSS (USA) icon

Next Generation Science Standards - NGSS (USA)

Business intelligence icon

Business intelligence

Debugging icon

Debugging

Data engineering icon

Data engineering

Machine learning icon

Machine learning

International Baccalaureate (IB) icon

International Baccalaureate (IB)

Project help icon

Project help

Paired coding icon

Paired coding

Predictive modeling icon

Predictive modeling

New Zealand Curriculum - NZC (NZ) icon

New Zealand Curriculum - NZC (NZ)

Learner types for data science class

Anxiety or Stress Disorders icon

Anxiety or Stress Disorders

School icon

School

ASD icon

ASD

College icon

College

ADHD icon

ADHD

Learning Disabilities icon

Learning Disabilities

Data sciece class overview

In Mathematics, my teaching approach mirrors the same hands-on, interactive style I use in Data Science, but tailored to the nuances of math subjects like algebra, calculus, geometry, and statistics. I focus on building a strong conceptual understanding of mathematical principles before moving on to more complex problems. This ensures that students have a solid foundation to tackle challenging topics with confidence. I use a combination of problem-solving techniques and real-life applications to make math relevant and engaging. For example, when teaching algebra or calculus, I introduce practical examples where these concepts are applied, helping students see the importance of math in everyday situations. Additionally, I encourage students to explore different methods for solving problems, promoting critical thinking and creativity in their approach. By incorporating visual aids, interactive exercises, and step-by-step explanations, I ensure that students fully grasp the logic behind each topic. My goal is to not only help students understand the material but to develop their problem-solving abilities and analytical thinking. Whether it's working through complex equations or understanding the geometry of shapes, I guide students through each step, providing the support and feedback they need to excel in Mathematics. Through this approach, I aim to instill a passion for math, helping students become more confident in their abilities while building the skills necessary for both academic success and real-world applications.

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Improved problem-solving skills

92% of students report faster problem-solving after lessons.

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Rated highly for assignment help

Clear, step-by-step support for assignments.

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Proven success with code projects

85% of students complete personal projects in a few months.

Your data science tutor also teaches

Data Analysis

Data Analysis

Databases

Databases

Machine Learning

Machine Learning

Power BI

Power BI

Python

Python

Microsoft Excel

Microsoft Excel

Flexible Scheduling

Allows 1h early scheduling

Allows 1h early rescheduling

Can wait for 20 mins after joining

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10 day Refund

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Free Tutor Swap

Teaching tools used by data science tutor

Assessments image

Assessments

Quizzes image

Quizzes

Presentations image

Presentations

Practice worksheets image

Practice worksheets

Digital whiteboard image

Digital whiteboard

Interactive data science classes

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Note taking

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Mobile joining

Open Q&A icon

Open Q&A

Parent feedback icon

Parent feedback

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Chat for quick help

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Data Science tutors on Wiingy are vetted for quality

Every tutor is interviewed and selected for subject expertise and teaching skill.