[C1] AI for Data Analysis & Visualization

Description:
This course trains professionals to use AI for analyzing, visualizing, and interpreting data in business contexts. Participants will learn how to clean datasets, apply machine learning models with no-code and low-code tools, and present insights visually with clarity and impact.

Why: Businesses need data-driven decisions — this course builds that skill.

Tools: Excel Copilot, PowerBI, Tableau, Google Colab, Pandas.

Outcomes:

• Clean, analyze, and visualize datasets.
• Build interactive dashboards.
• Generate insights for business recommendations.

Course Outline:

• Module 1: AI in Data Analytics (3 hrs)
  • Overview of AI-powered analytics.
  • Tools: Power BI with AI, Tableau GPT, Akkio, Google AutoML.

• Module 2: Preparing Data for AI Analysis (4 hrs)
  • Cleaning and normalizing data.
  • Hands-on with Excel Copilot and AI data wrangling tools.

• Module 3: AI-Powered Insights & Forecasting (4 hrs)
  • Predictive analytics with AutoML and Akkio.
  • Identifying trends and anomalies.

• Module 4: Visualization and Storytelling (4 hrs)
  • AI-generated dashboards with Power BI and Tableau.
  • Capstone: build a predictive analytics dashboard.

Learning Outcomes:

• Use AI-powered platforms to analyze and visualize datasets.
• Apply predictive analytics without coding.
• Automate data cleaning and preparation.
• Build AI dashboards for decision-making.
• Communicate insights effectively through visualization.

Course Development Lead:
Dr. Shen is a Data scientist with 14 years of experience in predictive analytics and AI-powered BI tools. He has consulted for Fortune 500 firms on building AI dashboards for strategic decision-making.