Home/Training
Professional development

Data Science Training Programs

Instructor-led, project-based training programs for professionals transitioning into data science or building analytical capabilities. Not pre-recorded lectures. Live instruction with real feedback.

Flagship program

12-Week Data Science Fundamentals

A complete structured curriculum designed for professionals entering the UK and Nigerian data science job markets. Covers Python programming, statistical analysis, machine learning, SQL, and professional portfolio development.

  • ✓3 sessions per week, 2 hours per session (36 total sessions, 72 hours)
  • ✓Weekly assignments with instructor feedback within 48 hours
  • ✓Mid-course project at Week 6 and capstone project at Week 12
  • ✓GitHub portfolio of 3 completed projects upon graduation
  • ✓Job market preparation: CV review, LinkedIn optimisation, interview prep
  • ✓Small cohorts: maximum 4 students per intake for personalised attention

12-Week Curriculum at a Glance

Week 1Python fundamentals, variables, control flow, Git
Week 2Data structures, file handling, list comprehensions
Week 3Pandas for data manipulation and transformation
Week 4Data cleaning, missing values, outlier detection
Week 5EDA, matplotlib, seaborn, Plotly visualisation
Wk 6-7Probability, statistics, hypothesis testing [Project 1]
Week 8Correlation, regression, causality
Week 9Supervised ML: classification, decision trees, SVM
Week 10Unsupervised ML: K-means, PCA, dimensionality reduction
Week 11SQL queries, time series analysis, ARIMA
Week 12Capstone project, portfolio, career preparation [Final]

Bayesian Statistics Workshop

4-session intensive covering Bayes' theorem, prior and posterior distributions, MCMC sampling (Metropolis-Hastings, NUTS), and hierarchical models. Delivered in R (Stan) or Python (PyMC3).

  • Session 1: Bayes theorem and conjugate priors
  • Session 2: MCMC sampling and convergence diagnostics
  • Session 3: Bayesian linear and logistic regression
  • Session 4: Hierarchical models and predictive inference
8 HoursStan / PyMC3
Enquire

Statistics for Healthcare and Clinical Research

6-session applied biostatistics course for medical, pharmacy, physiotherapy, and public health professionals preparing manuscripts or conducting clinical research.

  • Descriptive statistics and clinical data types
  • Hypothesis testing for clinical outcomes
  • Survival analysis and Kaplan-Meier curves
  • Diagnostic accuracy: sensitivity, specificity, ROC
  • SPSS and R for clinical data analysis
  • Manuscript statistical sections (CONSORT, STROBE)
12 HoursR / SPSS
Enquire

Enrol in the Next Cohort

Intake opens quarterly. Maximum 4 students per cohort. Submit your application and I will confirm availability and schedule a 20-minute introductory call.

Apply Now