🧵Data analysis is a comprehensive method of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. 📊 💡

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.

🧵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. 👇 1️⃣ Dr. Semmelweis and the discovery of handwashing

🔗  https://t.co/pO7ukkTydEow.ly/O6pP50Pi1qL

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. 👇 ⭐️ 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

🚨 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.