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Duration
12 Weeks
Mode
Hybrid
Audience
Everyone
Certificate
Verified

From Python basics to Pandas, NumPy, Matplotlib and SQL - 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 - 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 - 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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