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May 14 6 tweets 1 min read
1/ Starting from scratch with Snowflake? Here's a 5-step guide to help you build your first data pipeline. You don’t need any fancy setup—just follow this thread. 2/

Step 1: Create a Snowflake account.

Go to the Snowflake trial page, sign up with the Standard edition, pick your cloud provider (AWS is fine), and use the closest data center.

After signing up, log into the web UI.
Aug 22, 2023 4 tweets 3 min read
🧵Data analysis is a comprehensive method of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. 📊 💡
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But data analysis is not just a mere process; it's a tool that empowers organizations to predict trends and improve operational efficiency.

It's the backbone of strategic planning in businesses, governments, and other organizations.
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Jul 24, 2023 7 tweets 3 min read
🧵Calling all #Python learners—discover our top five Python projects to boost your confidence. 🐍

From historical events to international sports and TV network analysis, uncover real-world projects to apply your skills and complete data analysis from start to finish. 👇 Image 1️⃣ Dr. Semmelweis and the discovery of handwashing

🔗  https://t.co/pO7ukkTydEow.ly/O6pP50Pi1qL
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Mar 7, 2023 13 tweets 6 min read
Our top data science conferences of 2023.

Across a range of topics, learn from leaders who successfully implement data solutions. Plus, they're fantastic networking opportunities. 👇 Image ⭐️ DataCamp Radar 2023 | March 22-23, 2023 | Online

Designed to help businesses and individuals' tools thrive with data. Join @Google, @salesforce, @tableau (+ more) for sessions with: @yalisassoon@acotgreave@Jordan_C_Morrow@cindihowson, and more 👉 bit.ly/3WCyokI
Sep 28, 2022 4 tweets 2 min read
🚨 Free data cleaning cheat sheet! 🚨

Data cleaning takes up 80% of the data science workflow. 😱 So, we created a checklist to help you identify and resolve any quality issues with your data. 🔥

Kicking off with Data Constraint problems. Check out the thread. 👇 ✅ Text and categorical data problems: ensuring that categorical columns have correct and consistent categories.