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🔥 Matt Dancho (Business Science) 🔥 Profile picture
@mdancho84
May 20, 2023 • 7 tweets • 5 min read • Read on X
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As a data scientist, productivity is a 10X super power.

Here's a short list of AI tools to help data scientists with: 🧵

#ai #datascience #career #skills #tools Image
1. Writing code

AI pair programming is a huge benefit.

Tools like #chatgpt & github #copilot can help debug complex code and replace Googling + Stack Overflowing for common scripting.

Key skill: ChatGPT prompting (more on this in my free ChatGPT for Data Scientists) Image
2. Code Quality & Documentation

Great products have great documentation. AI can help produce documentation, comment code, and replace time-consuming manual documentation with automated AI docs.

Key Skill: Using @mintlify to build your docs: mintlify.com Image
3. Presentations

Great data scientists are storytellers. Use persuasion to your advantage.

Key Skill: Generating images with AI using @midjourney_ai . midjourney.com Image
I'm road-testing all of these.

And I've been quietly researching #ChatGPT for Data Scientists (My NUMBER 1 TOOL) for the past 4 months.

I have good news - I'm ready to reveal my chatgpt research!
If you want to understand how ChatGPT can make you a better data scientist (and mistakes to avoid)...

I'll be sharing my research in a Free WORKSHOP: ChatGPT for Data Scientists (Wednesday, June 7th)!
What's Your Next Step?

Join me and 1,000 data scientists as we crush AI in my LIVE ChatGPT for Data Scientists Workshop.

Seats are limited (1,000 max).

👉Register Here: us02web.zoom.us/webinar/regist… Image

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More from @mdancho84

🔥 Matt Dancho (Business Science) 🔥 Profile picture
Apr 15
Logistic Regression is the most important foundational algorithm in Classification Modeling.

In 2 minutes, I'll crush your confusion.

Let's dive in: Image
1. Logistic regression is a statistical method used for analyzing a dataset in which there are one or more independent variables that determine a binary outcome (in which there are only two possible outcomes). This is commonly called a binary classification problem.
2. The Logit (Log-Odds):

The formula estimates the log-odds or logit. The right-hand side is the same as the form for linear regression. But the left-hand side is the logit function, which is the natural log of the odds ratio. The logit function is what distinguishes logistic regression from other types of regression.Image
Read 9 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Apr 15
Data Scientists are OUT.
AI Data Scientists are IN.

95% of data scientists are overlooking this fact.

That's a massive opportunity for you. Image
You just need 3 AI Skills:

1. LangChain $0
2. LangGraph $0
3. OpenAI API ($12/month)

Cost: $12 per year
Salary: $210,000 per year

That's a no-brainer. Want help? Image
On Thursday, April 24th, I'm sharing one of my best AI Projects: Business Intelligence SQL Agent with AI

Register here (limit 500 seats): learn.business-science.io/ai-registerImage
Read 5 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Apr 13
🚨 Google published a 69-page prompt engineering masterclass.

This is what's inside: Image
Table of Contents:

- Prompt Engineering
- LLM Output Configuration
- Prompting Techniques
- Best Practices Image
Important concepts:

1. One-shot versus multi-shot

Google does a great job examining both approaches and demonstrating when to use them and how they work. Image
Read 9 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Apr 13
❌Move over PowerBI. There's a new AI analyst in town.

💡Introducing ThoughtSpot. Image
1. AI Analyst

ThoughtSpot’s Spotter is an AI analyst that uses generative AI to answer complex business questions in natural language, delivering visualizations and insights instantly.

It supports iterative querying (e.g., “What’s next?”) without predefined dashboards. Image
2. Self-Service Analytics

Unlike Tableau and Power BI, which rely on structured dashboards, ThoughtSpot emphasizes self-service analytics with a search-based interface, making it accessible to non-technical users.

Its AI-driven approach feels like “ChatGPT for data.” Image
Read 7 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Apr 12
RIP Tableau.

Introducing PandasAI, a free alternative for fast Business Intelligence.

Let dive in: 🧵 Image
1. PandasAI

PandaAI transforms your natural language questions into actionable insights — fast, smartly, and effortlessly. Image
2. Powerful dashboards in seconds

The problem with Tableau? Analysts have to build them from scratch.

PandasAI solves this problem making it lightning-fast to create dashboards from multiple sources. Image
Read 8 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Apr 11
Understanding probability is essential in data science.

In 4 minutes, I'll demolish your confusion.

Let's go! Image
1. Statistical Distributions:

There are 100s of distributions to choose from when modeling data. Choices seem endless. Use this as a guide to simplify the choice. Image
2. Discrete Distributions:

Discrete distributions are used when the data can take on only specific, distinct values. These values are often integers, like the number of sales calls made or the number of customers that converted.
Read 12 tweets

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