Masterclass Data Analytics & Visualisation

CERP Learning Hub is launching the CERP Masterclass: Data Analytics & Visualisation. This 2-part intensive workshop series is hands-on, practical, and structured to build real-world, job-relevant skills. The Data Analytics & Visualization Masterclass enables professionals to make smarter, data-driven decisions and communicate insights effectively across their organisations.

This masterclass is led by distinguished faculty from esteemed institutions, including WIFO and Bloomberg Centre for Government Excellence.

Target Audience

This Masterclass is for early-to-senior career professionals looking to improve their approach to problem solving via structured analysis and impactful visualisation across various sectors such as:

  • Undergraduate and Master’s Students (Economics, Business, Data Science, Social Sciences)
  • Researchers & Academics
  • Policy professionals
  • Analysts & consultants
  • Anyone looking to build practical data skills

What Participants Learn:

Part 1: Foundational

May 12-13, 2026

Learn how to work with raw data and extract meaningful insights.

Key Topics:

  • Data cleaning & preparation
  • Exploratory Data Analysis (EDA)
  • Descriptive statistics
  • Analytical workflows
  • Working with real datasets

Part 2: Advanced

Aug 12–13, 2026

(For participants who have completed Part 1)

Transform your analysis into compelling visual narratives.

Key Topics:

  • Principles of effective visualization
  • Advanced charts & dashboards
  • Data storytelling techniques
  • Avoiding misleading visuals
  • Capstone project

Tools Covered

  • Stata / R / Python (depending on session design)
  • Visualization frameworks
  • Reproducible workflows

Investment:

Program Fees

  • Part 1 (May 12–13): PKR 75,000
  • Part 2 (Aug 12-13): PKR 85,000

Bundle Offers

  • Early Bird (Full Series): PKR 135,000
  • Regular Bundle: PKR 145,000

Register for both workshops upfront to secure a strategic rate.

Apply Now

To apply, please submit your application here. Applications are open till April 24, 2026. Early bird deadline is Apr 15, 2026.