Course Detail    

Gen AI in Data Analytics

Course Overview

Smart AI in Data Analytics is a 1-day practical course designed to help professionals harness the power of AI to enhance data analysis and decision-making. This course teaches participants how to use AI tools such as ChatGPT and Power BI for data preparation, visualisation, and storytelling. Core topics include dataset generation, AI-based dashboards, SQL essentials, and an introduction to emerging database technologies like vector and graph databases.

The Learners will understand how AI improves traditional analytics workflows and gain awareness of ethical considerations and data security in AI-powered environments. The course provides hands-on exercises and real-life use cases to empower learners to use smart AI effectively in their data projects.

Course Objectives

The objective of Smart AI in Data Analytics is to equip learners with foundational knowledge and tools to apply AI in the field of data analytics. Learners will explore the relationship between Generative AI and analytics workflows, learning how to automate data preparation, create visual dashboards, and use data for impactful storytelling. The course emphasises practical experience with Power BI, ChatGPT, and SQL, enabling learners to analyse, interpret, and visualise data meaningfully.
 
The learners will also gain an understanding of newer AI databases and cloud security challenges. Ethical considerations in data handling are also covered to ensure responsible application. Overall, the course prepares learners to make data-driven decisions with confidence using smart AI technologies.
 

Mode of Delivery

Face to Face

Learning Outcomes

By the end of the course, learners will be able to:                   
  1. Understand the fundamentals of GenAI and its applications in data analytics          
  2. Prepare and analyse datasets using ChatGPT and Excel-based techniques        
  3. Design interactive dashboards and visualisations using Power BI          
  4. Use AI to develop compelling data-driven stories for business decisions          
  5. Gain basic proficiency in SQL and its role in AI-supported data environments       
  6. Understand data privacy, security risks, and ethical considerations in analytics     
  7. Identify future skills required for AI-integrated data professions.  

Assessment

Multiple Choice Question (MCQ)

Who Should Attend

PMEs (Professionals, Managers, Executives) across all industries. Job holders interested in this course would include admin staff ,marketing executives, sales executives, IT executives or anyone who would like to improve workplace productivity to advance their skills.

Minimum Entry Requirement

Participants should at a minimum have:                                                          
  • Knowledge of English language       
  • Basic computer literacy and understanding of spreadsheet tools like Excel.          
  • Interest in data analysis or digital transformation—no prior AI experience required.            
  • No prior programmng experience required - suitable for beginners and non-technical professionals 

Duration

8 hours / 1 day  (7 hours training, 1 hour assessment) 

Course Fee

$381.50 (Incl. of 9% GST)

Registration Fee

A Registration Fee of $10.90 (Incl. of 9% GST) will be collected upon course registration, and It is non-refundable.
* In the event of any class cancellation by Eduquest, the Registration fee will be refunded

Miscellaneous Fees (Incl. of 9% GST)

Admin Fee for Absent and Reschedule: $32.70

Admin Fee for Make-up Session for Partial Absent, Appeal & Re-assessment: $54.50

Miscellaneous Fees refer to any non-compulsory fees which the trainees pay only when applicable. Such fees are normally collected by Eduquest when the need arises.

Fees indicated are per pax and not per proforma invoice or invoice.

Schedule

Play Video

Course Fee $381.50 (Incl. of 9% GST)

This Course Includes:

Duration:  1 Day(s) (8 Hrs)

Language: English

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