DATA ANALYSIS (CBIP) WITH AI

Train as a job-ready Data Analyst through structured CBIP-aligned learning and real-world projects. Master data cleaning, querying, visualization, and storytelling while using AI to accelerate analysis and generate actionable busin

Location

Qualifications

Start date

Duration

When I enrolled into Clap Academy's Artificial Intelligence Program, I know nothing about AI. Today’s AI session was creative, practical and engaging. Students presented their work, and the hands-on training made learning fun. It was eye-opening, and I recommend it to everyone".

From competence to mastery

In 90 days, you become job-ready. Over 6 months, you become highly competitive.

Programme overview

The Clap Academy Data Analysis Programme is designed to make you job-ready within 90 days — equipped with the practical skills, portfolio, and confidence required to compete for Data Analyst and Business Intelligence roles.

What to expect

This is a structured, portfolio-driven career transformation pathway combining:

• Excel for advanced data modelling
• SQL for database querying and analysis
• Power BI for executive dashboards
• Python for analytical automation
• Live business simulations
• Career launch support

Get more done

Beyond the initial 90 days, candidates remain in the programme for up to 6 months, allowing them to:

• Deepen their Python expertise
• Work on additional real-world projects
• Strengthen their portfolio
• Refine their professional positioning

PROGRAMME STRUCTURE

Track 1

Power BI (Data Visualisation & Business Intelligence)

Training Duration: 3 Weeks
Project Duration: 2 Weeks

You will learn how to build an end-to-end dashboard for a simulated business, design KPIs & executive reporting pages, present insights like a real Data Analyst, and deliver a stakeholder-ready BI solution.

Deliverables

Executive Power BI Dashboard
Data Model (Star Schema)
DAX Measure Library
Business Insight Report
Recorded Project Presentation

What you will learn

Data cleaning & transformation (Power Query)
Data modelling & star schema design
DAX measures & KPI calculations
Interactive dashboards & storytelling
AI-powered insights inside Power BI
Publishing & managing reports in Power BI Service

Track 2

Excel for Advanced Data Analysis

Training Duration: 3 Weeks
Project Duration: 1 Week

You will learn how to analyse a real-world dataset, build a dynamic reporting workbook, and create a structured decision-support dashboard

Deliverables

Advanced Excel Analytical Workbook
Pivot-Based Dashboard
Structured Insight Report
Data Cleaning Documentation

What You Learn

Advanced formulas & logical functions
INDEX-MATCH & dynamic lookups
Pivot Tables & analytical dashboards
Data cleaning & transformation
Financial & operational modelling techniques

Track 3

SQL for Business Intelligence

Training Duration: 3 Weeks
Project Duration: 1 Week

Master how to query a structured business database, extract performance insights, build summary tables & metrics, present findings professionally

Deliverables

SQL Query Scripts
Multi-Table Analysis
Performance Insight Report
Final SQL Project Documentation

What You Learn

SELECT, WHERE, GROUP BY, HAVING
Joins (INNER, LEFT, RIGHT, FULL)
Aggregations & filtering logic
CASE statements & data transformation
Multi-table relational querying
Real database environments

Track 4

Python for Data Analytics & Automation

Training Duration: 4 Weeks
Project Duration: 2 Weeks

Python extends your analytical edge beyond traditional reporting. You will learn how to analyse a large dataset using Python, perform structured exploratory analysis, create analytical visualisations, automate insight generation, deliver a structured insight presentation

Deliverables

Python Analysis Notebook
Data Transformation Scripts
Insight Visualisations
Exploratory Analysis Report
Automation Workflow Script

What You Learn

Python fundamentals for analysts
Pandas for structured data manipulation
NumPy for numerical analysis
Data cleaning & transformation workflows
Exploratory Data Analysis (EDA)
Visualisation with Matplotlib & Seaborn
Automation of reporting tasks
Foundational predictive analysis concepts

Your Journey to a Job-Ready Data Analyst Portfolio

The Clap Academy Data Analysis (CBIP) with AI programme is structured to build real analytical competence — not just tool familiarity.

LIVE PROJECT SIMULATION (Integrated)

Participants operate as Data Analysts within structured business case simulations, including:

You function as a Data Analyst — not a student.

CBIP MULTI-TOOL CERTIFICATION PATHWAY

Technical mastery is built across core industry tools:

Go from dashboard training to enterprise-ready analytical execution.

EXPECTED OUTCOMES

You leave this programme:

Clear pricing, tailored to your budget

Whether you prefer to pay for the programme all at once or through a payment plan, we have a seat for you!

One-time payment
66% OFF
£1,450 £489
Two-time payment
60% OFF
£627 £247
One-time payment
55% OFF
£425 £190

Free

£0

You are new to the field and want to explore the basics without a financial commitment.

Advanced

£600

You are a dedicated individual aiming for mastery in your field or preparing for certifications and specialized roles.

Premium

£600

You are a dedicated individual aiming for mastery in your field or preparing for certifications and specialized roles.

Meet your instructor

Sarah Epia

Epia specializes in breaking down topics like machine learning algorithms, natural language processing (NLP), computer vision, and neural networks into clear, easy-to-understand lessons. Her interactive teaching style combines theory with practical examples, ensuring her students gain both knowledge and confidence in using AI tools.