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πŸ”₯ Matt Dancho (Business Science) πŸ”₯ Profile picture
@mdancho84
May 20, 2023 β€’ 7 tweets β€’ 5 min read β€’ 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).

πŸ‘‰Register Here: us02web.zoom.us/webinar/regist… Image

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More from @mdancho84

πŸ”₯ Matt Dancho (Business Science) πŸ”₯ Profile picture
Feb 18
Outliers have led me to 100s of business insights. But first I had to find them.

In 3 minutes let me kill your confusion. Let's dive into outliers: Image
1. Outliers

Outliers or anomalies in a dataset are data points that differ significantly from other observations. They are often important insights signifying key events.
2. Methods: There are 1000s of outlier detection methods. The ones I use can be broken into 4 categories:

1. Statistical
2. Clustering
3. Time Series
4. Machine Learning
Read 10 tweets
πŸ”₯ Matt Dancho (Business Science) πŸ”₯ Profile picture
Feb 17
Tableau and PowerBI are getting killed by free AI tools.

Case in Point: Microsoft's AI Data Formulator.

100% free in Python. Let's dive in: Image
1. Data Formulator: Create Rich Visualizations with AI

Data Formulator is an AI-powered tool for data analysts to iteratively create rich visualizations.

Data Formulator is an application from Microsoft Research that uses large language models to transform data, expediting the practice of data visualization.
2. A Novel Approach to Business Intelligence

Unlike most chat-based AI tools where users need to describe everything in natural language, Data Formulator combines user interface interactions (UI) and natural language (NL) inputs for easier interaction. This blended approach makes it easier for users to describe their chart designs while delegating data transformation to AI
Read 9 tweets
πŸ”₯ Matt Dancho (Business Science) πŸ”₯ Profile picture
Feb 16
Google just dropped a new Generative AI Python library for SQL Databases.

Introducing Google GenAI Toolbox.

This is what you need to know: Image
1. Meet the Google GenAI Toolbox

An open-source server designed to simplify building Gen AI tools for your databases. It streamlines development, letting you integrate powerful data tools with just a few lines of code.
2. The Toolbox handles the heavy lifting

Managing connection pooling, authentication, and moreβ€”so you can focus on creating innovative Gen AI applications without reinventing the wheel.
Read 8 tweets
πŸ”₯ Matt Dancho (Business Science) πŸ”₯ Profile picture
Feb 16
Move over Tableau and PowerBI.

There's a new Python library that automates Business Intelligence with AI using Text2SQL.

Let me introduce you to WrenAI: Image
1. Meet WrenAI

WrenAI is the future of Generative Business Intelligence (GenBI). It transforms complex data into intuitive insights through a conversational, no-code interface.
2. Text2SQL Engine

With its advanced Text-to-SQL engine, WrenAI lets you ask questions in plain language and instantly translates them into actionable queries, democratizing data access for everyone.
Read 8 tweets
πŸ”₯ Matt Dancho (Business Science) πŸ”₯ Profile picture
Feb 16
Forecasting time series is what made me stand out as a data scientist.

But it took me 1 year to master ARIMA.

In 1 minute, I'll evaporate your confusion. Let's go. Image
1. Autoregressive Forecast Models

ARIMA and SARIMA are both statistical models used for forecasting time series data, where the goal is to predict future points in the series. The implement a concept called Autoregression.
2. ARIMA Decomposed:

AR-I-MA stands for Autoregressive (AR), Integrated (I), Moving Average (MA).

Let's break it down:
Read 13 tweets
πŸ”₯ Matt Dancho (Business Science) πŸ”₯ Profile picture
Feb 15
The most overlooked skill by data scientists?

Time Series Analysis.

In 3 minutes, I'll demolish your confusion. Let's go: 🧡 Image
1. Time Series Analysis:

Time series analysis is a statistical technique that deals with time-ordered data points. It's commonly used to analyze and interpret trends, patterns, and relationships within data that is recorded over time (e.g. with timestamps).
2. Uses:

Understanding and applying time series analysis concepts is critical for forecasting, detecting anomalies, and drawing insights on data that varies over time.
Read 11 tweets

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