Awol - Maths teacher - Johannesburg
1st class free
Awol - Maths teacher - Johannesburg

Awol profile and their contact details have been verified by our experts

Awol

  • Rate ₹948
  • Response 1h
Awol - Maths teacher - Johannesburg
  • 5 (3 reviews)

₹948/hr

1st class free

Contact

1st class free

1st class free

  • Maths
  • Statistics

PhD in Data Science with MSc Biostatistics & BSc Statistics. I teach statistical methods, machine learning (ML), deep learning (DL) hands-on, practical courses using Python, R, Stata, SPSS with hands-

  • Maths
  • Statistics

Class location

Recommended

Awol is a respected tutor in our community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.

About Awol

I am a PhD holder in Data Science, with an MSc in Biostatistics and a BSc in Statistics, and I bring both academic rigor and practical experience to every lesson. My goal is to make complex topics in statistics, machine learning, and deep learning clear, understandable, and applicable to real-world problems.

My teaching is interactive, hands-on, and tailored to each student’s needs. I combine step-by-step explanations with practical exercises using Python, R, Stata, and SPSS, ensuring that students gain both conceptual understanding and practical skills. Lessons are structured, beginning with theory, followed by guided examples, exercises, and discussion, with time for questions and clarification throughout.

What sets me apart is my ability to bridge theory and practice across research, health data, and professional applications. I work with undergraduate and postgraduate students, researchers, and professionals, adapting my approach to your background, learning pace, and goals.

My aim is to help students gain confidence, master statistical and computational techniques, and achieve measurable results. You can expect a professional, supportive, and engaging learning environment where your questions are welcomed and your skills develop rapidly.

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About the class

  • Classes 1 to 5
  • Classes 6 to 8
  • Class 10
  • +9
  • levels :

    Classes 1 to 5

    Classes 6 to 8

    Class 10

    Classes 11 & 12

    Class 12

    BTech

    Class 11

    Adult Literacy

    Masters

    PhD

    MBA

    Kindergarten (LKG, UKG)

  • English

All languages in which the class is available :

English

Approach as a Tutor

My teaching approach is practical, interactive, and student-centered, focusing on both conceptual understanding and hands-on application. I emphasize learning by doing, using real-world datasets and examples to ensure students not only understand theory but also gain practical skills they can apply immediately.

Teaching Method and Techniques:

Step-by-step explanation of concepts, followed by live coding or problem-solving

Use of visualizations, diagrams, and real datasets to illustrate complex ideas

Interactive Q&A and discussion to address individual challenges

Guided exercises in Python, R, Stata, SPSS for statistical modeling, machine learning, and deep learning

Typical Lesson Plan:

Brief review of previous concepts

Introduction of new topic/theory

Hands-on exercises or live demonstration

Discussion of results, interpretation, and insights

Q&A and recap

Optional assignment for practice

What Sets Me Apart:

Strong academic background: PhD in Data Science, MSc Biostatistics, BSc Statistics

Ability to bridge theory with practical applications across health, research, and real-world data

Tailored lessons based on student’s goals, level, and field of interest

Who the Lessons Are For:

Undergraduate and postgraduate students in statistics, data science, biostatistics, or related fields

Researchers and professionals seeking practical skills in ML, deep learning, and statistical analysis

Anyone interested in hands-on experience with Python, R, Stata, or SPSS

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Rates

Rate

  • ₹948

Pack prices

  • 5h: ₹4740
  • 10h: ₹9480

online

  • ₹948/hr

free classes

This first free class with Awol will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.

  • 1hr

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