Smart Data Integration with AI

Pre-requisites

Participants should have attended our AI in Excel using ChatGPT and Copilot course or have equivalent knowledge.

Who should attend

Data Analysts & BI Professionals – Automate data prep and improve efficiency. Business & Financial Analysts – Clean and integrate data for better insights. Excel & PowerQuery Users – Enhance workflows with AI-driven automation. IT & Data Engineers – Streamline data integration from multiple sources. Marketing & Sales Analysts – Optimise data for reporting and forecasting. Anyone Handling Large Data Sets – Reduce manual work and improve accuracy.

Key Learning Outcomes

Automate Data Preparation – Use AI to clean, transform, and integrate data efficiently. Leverage PowerQuery & AI – Streamline data acquisition and processing with automation. Extract Data Smartly – Use AI to pull structured data from CSVs, APIs, databases, and web sources. Improve Data Quality – Detect and remove duplicates, fix inconsistencies, and handle missing values. Standardise & Transform Data – Normalise formats, correct errors, and optimise datasets. Merge & Integrate Data Sources – Automate entity resolution and schema matching. Identify & Fix Anomalies – Use AI-powered detection to correct incorrect or outlier data. Optimize Data Pipelines – Reduce manual effort through AI-driven query automation. Apply Real-World AI Use Cases – Solve practical challenges with hands-on exercises and case studies. Boost Efficiency & Accuracy – Save time, reduce errors, and focus on data-driven decision-making.

Introduction to AI in Data Integration & Preparation

Understanding the Role of AI in Data Integration AI-Powered Tools for Data Preparation (PowerQuery, OpenAI, AutoML, DataWrangler) Automating Data Pipelines with AI Benefits of AI Assistance in Data Cleaning & Transformation

PowerQuery & AI-Assisted Data Preparation

Introducing PowerQuery for Data Transformation Creating & Automating Formulas for Data Processing Using AI for Query Suggestions & Automation

Data Acquisition & AI-Assisted Extraction

Traditional & AI-Assisted Data Extraction Techniques CSV Files - Handling Large Datasets, AI for Format Detection Excel Spreadsheets Database Connections - SQL Query Optimisation with AI Private Websites - Authentication & AI-Assisted Crawling Web API - AI-Assisted API Querying & Response Parsing Public Websites - Web Scraping & AI for Automatic Table Extraction

AI-Assisted Data Cleaning & Transformation

Handling & Improving Data Quality with AI Removing Duplicates Automatically with AI Recommendations Handling Missing Data (AI for Imputation & Prediction) Fixing Inconsistent Formatting with AI (Standardisation, Case Correction, Date Formats) Creating Distinct Lists & Eliminating Redundant Entries Filtering Rows Efficiently (AI-Driven Data Categorisation & Segmentation) Removing Unnecessary Columns (AI-Based Feature Selection & Importance Analysis) Identifying & Correcting Incorrect Data Using AI Anomaly Detection Using AI for pattern matching

AI-Assisted Data Consolidation & Merging

Combining & Integrating Data from Multiple Sources Merging Data from Different Formats & Structures (CSV, Excel, API, Database) AI-Powered Data Mapping & Schema Matching Automating Data Aggregation with AI Entity Resolution & Deduplication with AI Cross-Referencing Data Sources for Enhanced Accuracy

Software setup required

Prior to the course, all participants should register for a free account on ChatGPT so they can complete the hands-on exercises. Participants should also have a Microsoft account to log in to https://copilot.microsoft.com/ and should do this prior to the course.