Admissions are open for the Fall 2026 batches ΓÇö limited seats, apply today! Apply now
Duration
12 Weeks
Mode
Hybrid
Audience
University (BS / MS / PhD)
Certificate
Verified

Statistical analysis for theses and papers ΓÇö descriptive statistics, hypothesis testing, regression and reporting in SPSS, R and Python.

The Data Analysis for Research (SPSS, R & Python) program at ITA Academia is a 8-week, mentor-led track designed around real industry workflows. Every module combines live instruction with guided labs, and ends with a graded deliverable that goes straight into your portfolio.

What makes this course different

  • Project-based learning: you build real, demonstrable work ΓÇö not just slides and quizzes.
  • Industry mentors: taught by practitioners who are actively shipping in their domain.
  • Career systems: CV and portfolio reviews, mock interviews and placement support through our hiring-partner network.
  • Flexible pacing: morning, evening and live-online batches with recorded sessions for revision.

By the end of this course you will be able to

  • Choose the right statistical test
  • Run analyses in SPSS, R and Python
  • Interpret and report results in APA style
  • Visualise findings for publications
  • Validate instruments with reliability tests

Certification

Graduates receive an ITA Academia verified certificate of completion and a transcript of assessed projects. Selected students are recommended to hiring partners and internship programs.

What you will learn

  • Choose the right statistical test
  • Run analyses in SPSS, R and Python
  • Interpret and report results in APA style
  • Visualise findings for publications
  • Validate instruments with reliability tests

Who should attend

  • BS / MS / MPhil / PhD students and fresh graduates
  • Final-year project and thesis students
  • Professionals switching into a tech career

Prerequisites

Basic programming or domain knowledge is recommended. A short readiness quiz is provided during admission.

Course curriculum · 7 modules

Hands-on sessions, guided labs and a graded assignment covering statistics refresher.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering spss essentials.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering hypothesis testing.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering regression & anova.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering r for researchers.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering python for researchers.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering reporting & visualisation.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review
Dr. Sarah Ahmed

Dr. Sarah Ahmed

Python & Research Analytics Instructor · ex Jazz

Sarah bridges academia and industry ΓÇö she supervises MS/PhD research analysis and teaches Python for data-driven decision making.

Python AutomationData AnalysisResearch Statistics
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