Generative AI in Data Analytics

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Overview Learning objectives What you'll learn Key facts FAQs What our customers say Get in touch

Learn essential skills

Course overview

Develop your data analytics skills by mastering generative AI techniques to extract insights and trends from complex datasets. Exploit the power of neural networks and synthetic data to revolutionise your analytics capability and deliver insights with greater accuracy and efficiency.

Unlock the potential of generative AI in data analytics

This 4-hour instructor-led course explores how generative AI models can transform data analytics, helping you automate complex tasks, enhance data insights, and drive smarter decision-making in any industry. Master data cleansing, transformation, and real-time integration for seamless operations.

Learning objectives

Learn generative AI basics and their importance in data analytics
Learn to generate synthetic data for a variety of needs
Gain the skills to create tailored, accessible data visualisations
Acquire skills in generating insights, identifying patterns, trends and anomalies
Master automated data cleansing, intelligent transformation, and real-time analysis
Study predictive modelling, forecasting, and scenario simulation for risk assessment
Learn about the challenges and ethics in AI data generation

What you'll learn

In this generative AI for data analytics course, you’ll gain practical experience using generative AI to automate and enhance data analysis processes, from data cleansing to visualisation, optimising every step of the analytics workflow.

How generative AI complements data science

Generative AI supports data science by creating synthetic data, automating repetitive tasks, and enhancing model accuracy. Develop these skills to streamline data workflows, reduce costs, and expand the possibilities for predictive and prescriptive analytics.

Uses for generative AI within data

Learn how to utilise generative AI for data augmentation, data visualisation, data exploration and discovery, and data modelling and forecasting. The use of gen AI can speed up the process, whilst making the outputs more reliable.

Optimising ETL processes and data pipelines

Generative AI enhances ETL (Extract, Transform, Load) processes by automating data cleansing, structuring, and transformation, making data pipelines more efficient and reliable. Reduce manual work and speed up data processing by learning these skills.

Challenges and evolving trends

Generative AI in data analytics faces challenges like data quality, bias, and model interpretability, yet innovations continue to address these issues. Explore the challenges you might face and learn relevant solutions while gaining insights on evolving trends within generative AI.

What's included

4 hours of instructor-led training in a virtual classroom setting

Key facts

Certification

This is a skills and knowledge-based course with no formal accreditation.

Who it’s for

This course is ideal for data analysts, business intelligence professionals and AI enthusiasts. It would also benefit people looking to begin a career in either business analysis or data analysis.

Prerequisites

There are no prerequisites for this course.

Exam information

There is no exam for this course.

Optional extras

There are no optional extras for this course.

FAQs

In this Generative AI for Data Analytics course, you’ll gain the skills to integrate generative AI into data analytics and automate key tasks to maximise efficiency.

What is generative AI in data analytics?

Generative AI in data analytics leverages machine learning models to process, analyse, and generate insights from complex data, transforming raw data into actionable information.

Is prior data analytics experience necessary?

No, this course is designed for all skill levels and includes foundational material to help you get started.

How will these skills benefit my career?

You'll be equipped with advanced AI techniques to streamline data processes, improve insight accuracy, and increase value in data-focused roles.

How is this course delivered?

This course is delivered through 4 hours of instructor-led training in a virtual classroom setting. Our virtual courses provide the personal teaching experience of a classroom with the ease and flexibility of a virtual environment. All the benefits, without the travel!

What our customers say

"Instructor was on point. Would be happy to recommend others to enrol for this course."

Narender Kathait, ILX learner

"Comprehensive and professional course. The facilitator was very knowledgeable and engaging. I learned so much! I'd recommend the course! "

Bobbette O'Dell, ILX learner