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

Program Content

Modular StructureHands-on Content

Module 1: Fundamentals of Data Interpretation and Analytical Thinking Participants develop foundational skills in reading data tables, understanding data structures, and applying analytical thinking. Emphasis is placed on asking the right questions when working with data.

Tools

Excel
Power BI
ChatGPT
Gemini

1 Module 1 Fundamentals of Data Interpretation and Analytical Thinking

reading data tables
understanding data structures
applying analytical thinking
asking the right questions when working with data

40 min

2 Module 2 KPI Framework and Business-Driven Data Interpretation

align KPIs with business objectives
move beyond reading data to generating meaningful interpretations
The selection of metrics that drive decision-making is covered.

40 min

3 Module 3 Data Quality, Cleaning, and Error Detection

the impact of data quality on analytical outcomes
methods to clean data
detect inconsistencies
resolve errors to build reliable datasets

45 min

4 Module 4 Outlier Analysis and Data Integrity

identify outliers within datasets
understand their impact on analysis results
approaches to preserve data integrity

35 min

5 Module 5 AI-Powered Data Analysis Techniques

accelerate data analysis using AI tools
Practical methods are covered using tools such as Excel, Power BI, ChatGPT, and Gemini
produce rapid insights

45 min

6 Module 6 Insight Generation and Data Storytelling

transforming analytical findings into clear, meaningful insights
present data in a way that effectively supports business decisions through storytelling

20 min

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

communicate analytical outcomes to decision-makers
producing clear and action-oriented outputs
within the framework of analysis → insight → impact → action

15 min

L1 Lab

Cleaning unstructured datasets
Identifying errors and inconsistencies
Generating core KPIs
Performing outlier analysis

L2 Lab

Analyzing data
Extracting key findings
Defining business impact
Developing action recommendations
Preparing concise, executive-level summaries

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

Program Content

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?