KNOWLEDGE HUB

Biointellica Data Science Academy

Building local capacities. Acquire critical skills in biostatistics, epidemiological modeling, and business intelligence.

Academy Programs

Available Cohorts

Acquire high-demand statistical programming, epidemiological modeling, and business analytics skills in expert-led live cohorts.

R Studio ⏱️ 6 Weeks

1. R for Data Science & Biostatistics

Master epidemiological modeling and descriptive/predictive statistical programming in R, moving from basic syntax to publication-quality ggplot graphics.

📘 Curriculum Highlights:

  • Tidyverse suite (dplyr, ggplot2, tidyr)
  • Hypothesis tests (t-test, Chi-Square, ANOVA, Pearson r)
  • Multivariable Logits and Linear Regressions
  • Advanced biostatistical modeling models from scratch
Student Rate KES _
Professional Rate KES _
R Studio ⏱️ 4 Weeks

2. SPSS for Academic Research

Designed for researchers and students who need to understand SPSS for data analysis, variable configuration, and publication-ready APA outputs.

📘 Curriculum Highlights:

  • Defining variable properties & data entry forms
  • Reliability analysis (Cronbach's Alpha) testing
  • Parametric vs non-parametric hypothesis tests
  • Exporting and formatting APA output tables
Student Rate KES _
Professional Rate KES _
R Studio ⏱️ 4 Weeks

3. Research Methodology & Protocol Design

Gain solid foundations in sample size calculations, sampling strategies, survey tools design (XLSForms/ODK), and logical framework matrix construction.

📘 Curriculum Highlights:

  • Formulating problems, hypotheses, and variables mapping
  • Calculating sample size (Cochran's, Yamane's, and G*Power)
  • XLSForms building for mobile survey collection
  • Designing M&E indicators and Logframe templates
Student Rate KES _
Professional Rate KES _
R Studio ⏱️ 5 Weeks

4. Power BI & Dashboard Visualizers

Turn complex tabular database logs into high-impact executive visualizers, learning the DAX formula language and relational modeling standard structures.

📘 Curriculum Highlights:

  • Power Query connections (Extract, Transform, Load - ETL)
  • Database modeling: Star/Snowflake schema relationships
  • Writing DAX measures (CALCULATE, RELATED, date intelligence)
  • Publishing, access configurations, and dynamic filtering
Student Rate KES _
Professional Rate KES _