Microcredential

Foundation of Data Analytics Using Generative AI

Work smarter with data using Generative AI - no coding required.

10 Hours Self-Paced / VILT Certificate

About This Program

An accessible introduction to data analytics enhanced by the power of Generative AI. Learners explore how data is collected, cleaned, and interpreted, and how AI tools can dramatically accelerate analysis, generate insights, and produce reports and visualizations.

No coding required - this program is designed for professionals who want to become more data-literate and leverage Generative AI tools like ChatGPT, Gemini, and Copilot to work smarter with data.

Who This Program Is For

  • Business Analysts & Operations Professionals
  • Marketing, Sales & Finance Teams
  • Managers Making Data-Driven Decisions
  • HR & People Analytics Professionals
  • Small Business Owners & Entrepreneurs
  • Anyone Building Data Literacy with AI

Program Snapshot

Credential
Certificate
Duration
10 Hours
Delivery
Self-Paced / VILT
Prerequisites
None
Language
English + Regional

What You'll Be Able to Do

The practical, job-ready capabilities you'll develop and demonstrate by the end of this program.

Understanding what data analytics is and why it drives modern business decisions

Understanding descriptive, diagnostic, predictive, and prescriptive analytics

Identifying structured vs. unstructured data and common data sources

Using AI tools to clean, organize, and prepare data for analysis

Using Generative AI tools to explore, summarize, and interpret datasets

Recognizing data quality issues: bias, missing values & inconsistencies

Applying AI-assisted prompting to generate data insights and reports

Applying basic statistical concepts: averages, trends, correlations & distributions

Reading and interpreting charts, tables, dashboards, and data visualizations

Evaluating ethical responsibilities when using AI and data for decision-making

Included Topics

A structured, hands-on learning path covering the core topics of the program.

01

What is Data Analytics? Types, Uses & Business Value

02

Descriptive & Diagnostic Analytics Explained

03

Understanding Data: Sources, Types & Quality

04

AI-Assisted Data Cleaning & Preparation

05

Introduction to Generative AI for Data Work

06

Predictive & Prescriptive Analytics Basics

07

Prompting AI to Analyze and Summarize Data

08

Statistical Thinking for Non-Technical Professionals

09

Data Visualization: Reading Charts, Graphs & Dashboards

10

Ethics, Bias & Responsible Use of AI in Analytics

Ready to Begin?

This program is suitable for organizations, enterprises, educational institutions, and workforce development initiatives looking to build practical data literacy and AI-assisted analytics capability across all staff levels and functions - no technical background required.