Generative AI and Data Science

Generative AI and Data Science

By Learner Ground
Online event
Multiple dates

Overview

If you still think data science is just “cleaning CSV files,” you’re stuck in 2015

Overview

If you still think data science is just “cleaning CSV files,” you’re stuck in 2015. Modern data science is powered by Generative AI — and if you don’t learn this now, you’re going to get overtaken fast. This course is short, low-commitment, and once it’s gone, it’s gone for good.

Description

Generative AI is rewriting how data science works. Not in a “buzzword” way — in a very real, very practical way.
This course shows you exactly how to combine LLM intelligence with traditional data workflows to work faster, smarter, and far more efficiently.

Here’s what you’ll learn:

  • How LLMs accelerate data cleaning, preprocessing, and feature engineering
  • How to use Generative AI for hypothesis generation and exploratory analysis
  • How to integrate AI into predictive modelling and experimentation
  • How RAG and vector databases support data-heavy environments
  • How to build automated analytical workflows that reduce manual workload
  • How to avoid the common hallucination traps that make AI useless without structure
  • How to combine classical ML with modern generative architectures

You won’t just “use AI tools.” You’ll understand how to weaponize them.

Who Is This Course For

People who want to actually do data science, not pretend:

  • Aspiring data scientists who want an edge
  • Analysts who need faster high-quality insights
  • Machine learning beginners wanting clarity
  • Engineers integrating AI into pipelines
  • Founders building data-driven products
  • Students preparing for real-world DS roles

If you’re afraid of challenge, don’t bother.

Requirements

  • Basic understanding of data science concepts
  • Comfort with Python is helpful (not mandatory)
  • Curiosity about AI-driven analytics
  • Willingness to test, validate, and iterate — not blindly trust AI

Low commitment, high value.

Career Path

You’ll be ready for roles like:

  • AI-Enhanced Data Scientist
  • Machine Learning Engineer (LLM-integrated workflows)
  • Data Analyst using AI automation
  • AI Product Researcher
  • Data Strategy Specialist
  • Hybrid ML/Generative AI Practitioner

And you'll stand out instantly because most “data people” still have no idea how to use Generative AI properly.

Category: Science & Tech, Science

Good to know

Highlights

  • Online

Refund Policy

Refunds up to 7 days before event

Location

Online event

Organised by

Learner Ground

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From £10.99
Multiple dates