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Data Analytics

Simplify Data Analytics with Generative AI – A Detailed Overview

Welcome to Data Science Dojo’s weekly AI newsletter, “The Data-Driven Dispatch”. This week, we’ll dive deep into the role of generative AI in data analytics.

Why did Windows take off so quickly?

The answer is simple. Windows replaced the need for writing long, complex codes with an easy-to-use graphical interface, making computers accessible to everyone.

Generative AI is bringing about a similar revolution today.

Just as Windows made computing more visual, generative AI is making technology more human.

Take data analysis, for example. It requires deep knowledge of coding, statistics, and various analytical tools. But now, with generative AI, you can just describe what you need in plain language, and the AI does the rest—turning complex tasks into simple, intuitive interactions.

Let’s get in to explore how you can start using generative AI to make data analytics easier and more accessible right now.

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The Rise of Generative AI in Data Analytics

Generative AI is bringing in AI data analytics by automating tasks that require extensive human intervention and deep technical knowledge.

Where data analysts once spent hours, if not days, wrangling data, building models, and generating insights, AI-powered tools can now perform these tasks in a fraction of the time.

The applications of generative AI in data analytics are huge and span from the very start i.e. exploratory data analysis to building ML models, predictive modeling, and more.

An infographic showing 6 applications of generative AI in data analytics
The applications of generative AI in data analytics

Get ahead: Generative AI for Data Analytics: Top 7 Tools, Use-cases, and More

Tools of the Trade: Leveraging Generative AI in Data Analytics

The landscape of data analytics is evolving rapidly, with generative AI copilots being integrated into familiar tools such as Power BI and Tableau, while simultaneously, standalone AI tools are emerging to fully automate data analysis processes.

Here are the tools of trade that leverage generative AI for data analytics:

Top 7 Generative AI tools in Data Analytics - Tableau Pulse, PowerBI, Alteryx, Qlik, SAS Viya, H20.ai, DataRobot
Top 7 Generative AI Tools in Data Analytics

Building Interactive Business Intelligence Dashboards with AI

Data Visualization is an integral part of data analysis. Business Intelligence dashboards are rigorously used in any enterprise to make decisions.

You can automate the process of building complex dashboards with generative AI tools as well. Here’s a guide to walk you through the process:

Dive Deeper:

Enhancing Business Intelligence Dashboards with LLM Descriptive Analytics

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Tutorial: Leveraging Generative AI in Data Analytics

If you’re eager to streamline your data analysis workflows with generative AI, this comprehensive tutorial by Albar Wahab, Senior Data Scientist at Data Science Dojo, is exactly what you need. In this guide, you’ll discover:

  • How generative AI can be used to streamline analytics tasks using Python and Power BI
  • The role that generative AI is playing in the analytics workforce and how it is changing the way we work
  • Real-world examples, use cases, and practical insights

Tutorial: Generative AI and Data Storytelling

In this tutorial, Andrew C. Madson explores how genAI can take data storytelling and analytics to the next level by creating rich, dynamic narratives that drive action and foster understanding.

To connect with LLM and Data Science Professionals, join our discord server now!

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You can’t hold yourself from saying it when you’re working with data all day!

data science meme

 

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Learn to Build Generative AI Applications

Do you want to build a much-needed AI application, but don’t know where to start?

Well, our LLM Bootcamp teaches everything you need to know to build cutting-edge AI applications so that you’re not left behind in this major AI revolution.

Large Language Models Bootcamp by Data Science Dojo
Large Language Models Bootcamp by Data Science Dojo

In a 40-hour extensive training, you’ll be taught all the processes involved while building AI applications. From embeddings to orchestration frameworks, from RAG to fine-tuning, you’re going to be all covered.

Master LLM applications with our hands-on approach. Learn more about the bootcamp.

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Finally, let’s call it a wrap after hearing the AI headlines of the week.

  • Stable Diffusion creators launch Black Forest Labs, securing $31M for FLUX.1 AI image generator. Explore more
  • Grok-2 is out in beta, now with added AI image generation. Read more
  • Meet Black Forest Labs, the startup powering Elon Musk’s unhinged AI image generator. Learn more
  • MIT delivers a database containing 700+ risks associated with AI. Read more
  • Google DeepMind trained a robot to beat humans at table tennis. Explore more
Data Analytics
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