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Duration
12 Weeks
Mode
Hybrid
Audience
Everyone
Certificate
Verified

From Python basics to Pandas, NumPy, Matplotlib and SQL ΓÇö analyse real datasets and present insights that drive decisions.

The Python for Data Science & Analytics program at ITA Academia is a 12-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

  • Program confidently in Python 3
  • Clean and analyse data with Pandas & NumPy
  • Visualise insights with Matplotlib, Seaborn & Plotly
  • Query databases with SQL
  • Deliver an end-to-end analytics project

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

  • Program confidently in Python 3
  • Clean and analyse data with Pandas & NumPy
  • Visualise insights with Matplotlib, Seaborn & Plotly
  • Query databases with SQL
  • Deliver an end-to-end analytics project

Who should attend

  • Beginners with no prior experience
  • Students of any discipline
  • Professionals and freelancers who want a practical, job-focused skill

Prerequisites

No prior experience required. Basic computer literacy and a laptop are recommended.

Course curriculum · 8 modules

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

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

Hands-on sessions, guided labs and a graded assignment covering numpy & scientific computing.

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

Hands-on sessions, guided labs and a graded assignment covering pandas data wrangling.

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

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

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

Hands-on sessions, guided labs and a graded assignment covering sql for analysts.

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

Hands-on sessions, guided labs and a graded assignment covering statistics for data science.

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

Hands-on sessions, guided labs and a graded assignment covering exploratory data analysis project.

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

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

  • 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
★★★★★

The Python for Data Science track changed my career. The instructors explained statistics in a way my university never did.

Sana Yousafzai
Sana YousafzaiData Analyst
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