Finance Bootcamp for Students & Professionals

A 30 hour CPD accredited program that builds practical, job ready capability in financial modeling, Power BI and Python with AI. Open to students and working professionals. Apply below and SmW Global confirms your seat directly.

30 Hours

CPD Accredited Program

3 Modules

Modeling, Power BI, Python

Cohort Based

Limited Seats per Intake

Program Modules

01Financial Modeling10 Hours
02Power Query and Power BI10 Hours
03Python and AI10 Hours

View detailed curriculum

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.

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Reviewed and confirmed by SmW Global over WhatsApp.

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30 Hours

CPD Accredited Program

3 Modules

Modeling, Power BI, Python

Cohort Based

Limited Seats per Intake

Program Modules

01Financial Modeling10 Hours
02Power Query and Power BI10 Hours
03Python and AI10 Hours

View detailed curriculum

Lead Trainer

Shahzaib Paracha, ACCA

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