Collins Odhiambo Statistics, Data Analysis, Probability theory, R
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I am called Collins! I am passionate about teaching statistics. I have over 10 experiences of teaching at college level. My major areas of interest include basic statistics, probability theory, statistical inference, stochastic processes, Introduction to Statistical Reasoning, Introduction to Statistics and Probability, Introduction to Mathematical Statistics, Longitudinal Data Analysis, Statistical Inference, Machine learning, Survival Analysis, Design of Clinical Trials, Epidemiological Methods, Causal Inference, Statistical Modeling, Program Design, Research and Data analysis mentorship. For the past 10+ years, I've also taught high school students AP Statistics, and helped them to achieve 5 or 4 on the AP exam. I tutored college students for introductory and advanced statistics classes, students from UCLA, Strathmore University and many community colleges.

Subjects

  • Statistics Beginner-Expert

  • SPSS Beginner-Expert

  • Probability and Statistics Beginner-Expert

  • Probability and Random Process Beginner-Expert

  • Integral and Differential Calculus Beginner-Expert

  • Data Science and Machine Learning Beginner-Intermediate

  • R & Python Beginner-Expert

  • Linear models Beginner-Expert

  • Probability and Statistical Inference Beginner-Expert

  • Survival English Beginner-Expert

  • Calculus 1, 2 & 3 Beginner-Expert

  • Excel & Research Data Analysis Beginner-Expert

Experience

  • Assistant Professor (Jan, 2022–Present) at University of california at los angeles
    Instructor for both undergraduate and graduate courses (Department of Statistics (50%) and department of Mathematics (50%)) courses i.e., Introduction to Statistical Reasoning, Introduction to Statistics and Probability 2, Introduction to Mathematical Statistics 2, Probability 2, Longitudinal Data Analysis, Statistical Inference, Machine learning.
  • Senior Lecturer (Jan, 2013–Sep, 2022) at Strathmore University, Nairobi
    Undergraduate Courses
    1) Mathematics I
    2) Mathematics II
    3) Introduction to Discrete Mathematics
    4) Business Mathematics I
    5) Business Mathematics II
    6) Mathematics for Business Sciences I
    7) Mathematics for Business Sciences II
    8) Probability and Statistics I
    9) Probability and Statistics II
    10) Simulations and Modeling
    11) Introduction to Stochastic Processes
    12) Statistical Theory and Decision Making
    Graduate Courses
    1) Introduction to Units
    a) RStudio and Python
    b) Probability and Statistics
    2) Longitudinal Data Analysis
    3) Research Methods
    4) Linear Models for Data Science
    5) Machine Learning and Prediction
    6) Stochastic Processes
    7) Survival Analysis
    8) Object-Oriented Programming with Application to Finance
    9) Advanced Quantitative Analysis in Business Management
    10) Statistics in Practice Seminar

Education

  • Post Doctoral Fellowship (Jan, 2020–Jun, 2021) from Johns Hopkins University Baltimore
  • PhD (Nov, 2013–May, 2017) from Strathmore University, Nairobi

Fee details

    US$25–110/hour (US$25–110/hour)

    Depending on the depth and the topic to be covered

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