Williams Atim Applied statistics, excellent teaching skills.
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I am a Lecturer II at a Federal College of Agriculture with over 10 years of teaching and research experience in Statistics and Computer Science. My work bridges both academia and practice—I’ve taught at tertiary level and also applied advanced statistical methods in the field with international organizations such as:

NewGlobe Education Services (EdTech) – supporting evidence-driven educational innovations.

World Health Organization (WHO) – using data to strengthen immunization programmes and drive measurable results.

What I Teach:

📊 Statistics

Probability & Distributions

Hypothesis Testing & Experimental Design

Regression Analysis & Time Series

Biostatistics & Agricultural Statistics

Research Methodology & Data Analysis

💻 Computer Science & ICT

Programming Fundamentals (Python, R, Visual Basic)

Database Management (SQL, Access)

Data Analysis with SPSS, R, and Python

Microsoft Office & ICT for Agriculture

My Teaching Style:

Bottom–up approach → building strong foundations before moving to advanced concepts.

Breaking down complexity → making tough topics simple and relatable.

Visual learning → graphs, charts, real-life data, and case studies.

Interactive & practical → applying theory to real-world problems.

Whether you’re a beginner or a more technical student, I’ll guide you step by step until you gain confidence and mastery.

Why Learn with Me?

✅ 10+ years of tertiary teaching experience
✅ Field research experience with top global organizations
✅ Expertise in both theory and applied problem-solving
✅ Student-focused, patient, and committed to your success

Subjects

  • Statistics and data analysis Bachelors/Undergraduate-Masters/Postgraduate

  • SPSS (Statistical Package for the Social Sciences) Beginner-Expert

Experience

  • Lecturer II (Jul, 2023–Present) at 8 years lecturing experience at Federal College of Animal and Health Production Technology.
    Teaching & Instruction

    Deliver undergraduate courses in Statistics (e.g., Probability, Hypothesis Testing, Regression Analysis, Design of Experiments, Time Series, Biostatistics) and Computer Science (e.g., Programming Fundamentals, Database Systems, Computer Applications in Agriculture).

    Develop lesson plans, lecture notes, and practical exercises tailored to agricultural applications.

    Break down complex concepts into clear, understandable lessons, using visuals, case studies, and data-driven examples.

    Supervise student projects, assignments, and practical sessions in computer labs.

    Conduct tutorials, remedial classes, and workshops to support weaker students.

    Curriculum Development

    Contribute to the design and review of Statistics and Computer Science curricula in line with Nigerian agricultural education standards and emerging industry needs.

    Integrate ICT tools, statistical software (SPSS, R, Python), and digital platforms into teaching for practical skill development.

    Research & Academic Contribution

    Undertake applied research in statistical methodologies, data analysis, and ICT in agriculture.

    Publish research findings in academic journals and present at conferences.

    Collaborate with colleagues on interdisciplinary projects, especially in agricultural data management and analysis.

    Student Assessment & Mentorship

    Design, administer, and grade examinations, tests, and practical assessments.

    Provide academic and career guidance to students pursuing careers in data, research, and ICT.

    Supervise students’ industrial training (SIWES) and final-year projects.

    Institutional Service

    Serve on departmental and college committees as assigned.

    Participate in accreditation processes and quality assurance exercises.

    Assist in developing partnerships with industry, government, and international organizations for student training and institutional growth.

    Community Engagement & Extension Services

    Apply statistical and computer science skills to agricultural extension programmes.

    Support workshops and training for farmers, extension agents, and partner organizations on data collection, analysis, and ICT tools.
  • Manager Research Measurement and Evaluation (Mar, 2023–Apr, 2025) at NewGlobe Education Services
    Research & Evidence Generation

    Design and implement rigorous research studies to evaluate the effectiveness of EdTech programs in improving learning outcomes across partner schools.

    Develop and apply statistical methodologies (experimental, quasi-experimental, and longitudinal designs) to generate actionable insights.

    Lead the use of data analytics to measure student performance, teacher effectiveness, and school-level interventions.

    Monitoring & Evaluation Systems

    Establish M&E frameworks, indicators, and data-collection tools to track program outcomes and impact.

    Oversee large-scale field data collection efforts, ensuring data quality, accuracy, and timeliness.

    Build digital dashboards and visualization tools to provide real-time reporting to senior leadership and education partners.

    Data Analysis & Reporting

    Conduct advanced statistical analysis (regression modeling, multivariate analysis, impact evaluations) to identify trends and causal effects.

    Translate complex data into clear, actionable reports and presentations for policymakers, donors, and education stakeholders.

    Provide evidence-based recommendations to improve program design, scale-up, and resource allocation.

    Stakeholder Engagement

    Liaise with ministries of education, donor agencies, and international partners to align research priorities with policy needs.

    Present findings to internal leadership teams, school leaders, and external partners to drive strategic decisions.

    Ensure compliance with ethical standards and donor reporting requirements.

    Team Leadership & Capacity Building

    Manage a team of research associates, data collectors, and analysts across multiple regions.

    Provide training and mentorship on data management, statistical tools (SPSS, Stata, R, Python), and evaluation techniques.

    Foster a culture of evidence-based decision-making within the organization.

Education

  • PGD in Computer Science (Sep, 2017–Sep, 2018) from Postgraduate Diploma in Computer Science
  • Pedagogical Skills training (Sep, 2017–Sep, 2017) from USAID
  • Bachelor of Science Statistics/Computer Science (Sep, 2005–Sep, 2011) from Federal University of Agriculture Makurdi Benue State

Fee details

    ₦25,000–55,000/hour (US$18.23–40.10/hour)

    $15 for beginners to $30 for more advanced students.

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