Lee - Data analysis tutor - Kuala Lumpur
Lee - Data analysis tutor - Kuala Lumpur

The profile of Lee and their contact details have been verified by our experts

Lee

  • Rate €3
  • Response 2h
  • Students

    Number of students Lee has accompanied since arriving at Superprof

    2

    Number of students Lee has accompanied since arriving at Superprof

Lee - Data analysis tutor - Kuala Lumpur

€3/h

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This teacher is currently unavailable

  • Data Analysis

Fundamentals of Data Science and AI with Python as a tool for data manipulation

  • Data Analysis

Lesson location

About Lee

I'm a data science and AI major @Taylor's University with a WCGPA of 3.64 Here's my story: - I dreamt of being a full-time musician (I thought I had nothing to do with STEM field) - I realized the harsh reality - I discovered the new big thing - Big Data and AI - I got interested in data-driven decisions and the value it adds - I studied my a** off to fill in the 'STEM knowledge gaps' I had - I started freelancing as a mini data scientist where I help small businesses clean their data (good input = good output) Want a job in data or simply interested in this field? You've come to the right place. I also do what AI can't do - I mentor my students on time-management as a student, navigating through the world of AI, and most importantly enjoying life and having fun as a student cuz that matters the most. "The best mentor is someone one level above you" - some guy on the internet

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About the lesson

  • Primary
  • Junior Cycle
  • Transition Year
  • +14
  • levels :

    Primary

    Junior Cycle

    Transition Year

    Fifth Year

    Sixth Year

    Adult education

    Bachelor's degree

    Master's degree

    Diploma

    Doctorate degree

    Other

    Leaving Certificate

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

All languages in which the lesson is available :

English

A 1-month introductory course teaching:

- Theory for data science
- Basic python for data science
- Statistical and mathematical concepts for data science
- Exposure to different tools and libraries for data science

The course requires:
- At least 4-hours commitment/week
- Use of personal time to complete 'homework'
- Each lesson lasts 1-2 hours (flexible)

When I teach, I teach from the roots of every concept to understand the 'why', instead of jumping straight into 'how'

The course suitable if you:
- Want exposure to data science
- Want to polish the basics of data science
- Want to familiarize yourself with 'data'

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Rates

Rate

  • €3

Pack prices

  • 5h: €16
  • 10h: €32

online

  • €3/h

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