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.
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Generative AI in Data Analytics
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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
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
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