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Corporate Program · Textile Institute of Pakistan

Finance Bootcamp for Professionals

A 30 hour CPD accredited program that builds practical, job ready capability in financial modeling, Power BI and Python with AI. Register each participant using the form, and SmW Global confirms every seat directly.

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30 Hours

CPD Accredited Program

3 Modules

Modeling, Power BI, Python

Cohort Based

Limited Seats per Intake

Program Modules

  1. 01Financial Modeling10 Hours
  2. 02Power Query and Power BI10 Hours
  3. 03Python and AI10 Hours
View detailed curriculum
Shahzaib Paracha

Lead Trainer

Shahzaib Paracha, ACCA

Close to a decade in corporate finance as Financial Controller, Finance Manager and Senior Accountant. ICAP affiliated Data Analytics trainer since 2016, with 100+ sessions delivered across 10 corporate clients.

Program Structure

Detailed Curriculum

MODULE 0110 Hours

Financial Modeling

  • Excel environment, navigation and core formulas
  • Data cleaning, lookups and conditional logic
  • Pivot tables and pivot based reporting
  • Introduction to Financial Modeling, Excel Basics and Model Structure
  • Accounting Fundamentals and Linking the Financial Statements
  • Three Statement Model: Working Capital, Schedules and Full Integration and Checks
  • Advanced Excel Tools, Scenario and Sensitivity Analysis
MODULE 0210 Hours

Power Query and Power BI

  • Power Query: connecting, cleaning and transforming raw financial and operational data from Excel, SQL and other sources
  • Data Modelling: building relationships between tables and designing a reporting-ready data model
  • Data Analysis Expressions (DAX): writing measures and calculated columns for dynamic, time-intelligent KPIs
  • Data Visualisation: building interactive dashboards with drill-through, slicers and management-ready visuals
  • Publishing, sharing and refreshing reports through the Power BI Service for organisation-wide use
MODULE 0310 Hours

Python and AI

  • Python and Jupyter Notebook fundamentals for finance and data professionals, no prior coding experience required
  • Data handling with NumPy and Pandas: cleaning, structuring and transforming financial datasets at scale
  • Data analysis and visualisation in Python using Matplotlib and Seaborn for charting and trend analysis
  • Introduction to predictive analytics: regression and classification concepts for forecasting and decision support
  • Applying generative AI tools to accelerate analysis, reporting and everyday business tasks