Artificial Intelligence and Data Analytics

This training aims to equip individuals with the fundamental skills necessary to accurately read and interpret data and accelerate analysis processes using artificial intelligence tools.

Beginner, Intermediate

4 Hours

Live-Zoom

Certified

About the Course

AI-Powered Data Analysis Essentials

Beginner & Intermediate4 HoursAI-Powered ToolsData Quality

A practical course to build skills in reading and interpreting data, cleaning and validating datasets, understanding KPI fundamentals, and accelerating analysis with AI tools to deliver reliable, insight-driven reports.

Category Data Science, Operations, Sales, Marketing, Finance, Business Intelligence, Reporting

Curriculum Hands-On, Tool-Based Learning

Learning Outcomes

Interpret data tables, apply KPI logic, and grasp foundational statistics
Clean data, detect inconsistencies, and identify errors
Analyze outliers and maintain data integrity
Use AI-assisted techniques for basic analysis and insight generation
Translate analytical outputs into business decisions and effective reporting

Who Should Attend?

Participants who want to enter this field
Professionals who want to strengthen their skills with practice

Prerequisites

Basic interest in the field
Computer and internet access

From Data To Insight In 4 Hours

End-to-end, hands-on learning from data cleaning and KPI fundamentals to AI-assisted analysis and executive-ready reporting.

Course Content

Data Interpretation and AI-Powered Analysis

Data literacyKPI & storytellingAI-assisted analysisHands-on labs

Build practical skills in reading and interpreting data, aligning KPIs with business goals, ensuring data quality, leveraging AI tools, and communicating insights that drive action.

Tools

Excel
Power BI
ChatGPT
Gemini

1 Module 1 Fundamentals of Data Interpretation and Analytical Thinking

Read and interpret data tables effectively
Understand basic data structures and formats
Apply analytical thinking to business data
Formulate the right questions to guide analysis

Duration: 40 min

2 Module 2 KPI Framework and Business-Driven Data Interpretation

Align KPIs with business objectives
Move from reading data to generating interpretations
Select metrics that drive decision-making
Define clear measurement frameworks

Duration: 40 min

3 Module 3 Data Quality, Cleaning, and Error Detection

Assess the impact of data quality on outcomes
Clean datasets and standardize formats
Detect inconsistencies and errors
Resolve issues to build reliable datasets

Duration: 45 min

4 Module 4 Outlier Analysis and Data Integrity

Identify outliers within datasets
Evaluate outlier impact on analysis results
Apply approaches to preserve data integrity

Duration: 35 min

5 Module 5 AI-Powered Data Analysis Techniques

Accelerate analysis using AI tools
Use Excel and Power BI for rapid insights
Apply ChatGPT and Gemini for analysis tasks
Integrate AI-assisted workflows into analysis

Duration: 45 min

6 Module 6 Insight Generation and Data Storytelling

Transform findings into clear insights
Craft narratives that support decisions
Present data for stakeholder understanding
Use storytelling techniques to clarify impact

Duration: 20 min

7 Module 7 From Analysis to Action – Reporting and Executive Summary

Communicate outcomes to decision-makers
Produce clear, action-oriented outputs
Apply analysis → insight → impact → action
Write concise executive summaries

Duration: 15 min

L1 Lab 1 Data Cleaning and KPI Development

Clean unstructured datasets
Identify errors and inconsistencies
Generate core KPIs
Perform outlier analysis

Frequently Asked Questions

This course is a practical program that combines data interpretation and analysis skills with AI-powered tools. It enables participants to use data more intelligently in their daily workflows without requiring deep technical expertise.

This course is ideal for professionals working in Data Science, Operations, Sales, Marketing, Finance, and Business Intelligence who regularly work with data but do not have a formal data science background.

Yes. All participants who complete the course will receive a digital certificate of completion.

Participants gain core competencies such as data cleaning, KPI interpretation, outlier analysis, and AI-assisted insight generation. In addition, they develop the ability to create executive-ready analytical reports that support business decision-making.

Yes, absolutely. The course is designed for both beginner and intermediate participants. Basic familiarity with spreadsheets is sufficient; advanced Excel or statistical knowledge is not required.

Artificial Intelligence and Data Analytics

About the Course

AI-Powered Data Analysis Essentials

Learning Outcomes

From Data To Insight In 4 Hours

Course Content

Data Interpretation and AI-Powered Analysis

Frequently Asked Questions

What is the “AI for Data and Analytics” course?

Who is the “AI for Data and Analytics” course suitable for?

Is a certificate provided upon completion of the course?

What are the benefits of the “AI for Data and Analytics” course?

Is this course suitable if I have no experience with Excel or data analysis?