MASTERING DATA ANALYSIS WITH ARTIFICIAL INTELLIGENCE

29th-30th January, 2026                                                                               5th-6th March, 2026

9^th-10^th June, 2026                                                                                       5^th-6^th September, 2026

Introduction

Data analysis with AI uses artificial intelligence, especially machine learning, to automate, simplify, and accelerate finding insights from large datasets, moving beyond traditional methods by handling complex patterns, offering real-time analysis, and enabling natural language querying for faster, more intuitive discovery of trends and predictions. AI tools assist across the entire data journey, from cleaning and preparation to generating visualizations and reports, empowering both data experts and non-technical users for quicker, better decision-making.

Modern courses on Data Analysis with AI combine traditional analytical foundations with cutting-edge Generative AI (GenAI) and Machine Learning (ML) tools to automate workflows and enhance insight discovery.

Course Contents

Module One: AI-Powered Data Cleaning & Preprocessing

o    Using GenAI to automate the detection of inconsistencies and outliers.

o    Automated data transformation, normalization, and handling of missing values.

Module Two: Exploratory Data Analysis (EDA) with AI

o    Leveraging tools like Microsoft Copilot or ChatGPT for rapid pattern and trend detection.

o    Generating summary statistics and visualizing data distributions using AI prompts.

Module Three: Predictive Modeling & Machine Learning

o    Introduction to regression, classification, and clustering algorithms.

o    Building and evaluating predictive models using AI-driven code generation in Python or R.

Module Four: Natural Language Processing (NLP) for Analysts

o    Analyzing unstructured text data (e.g., customer reviews, social media) for sentiment analysis.

o    Using Conversational Analytics to “chat with your data” in plain English.

Module Five: Data Visualization & AI Storytelling

o    Creating interactive dashboards in Tableau or Power BI with AI-enhanced visualization recommendations.

o    Using AI to summarize findings and create compelling narrative reports for stakeholders.

Module Six: AI-Assisted Technical Skills

o    SQL for Data Analysis: Writing and debugging complex queries using AI assistants.

o    Python for AI: Developing data pipelines and automation scripts with libraries like Pandas and NumPy.

Duration: Two (2) days                                                                          Fee: N180,000