Data analysis

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❌ Struggling to land your dream data analysis job? 👉 Save this post for essential tips on creating job-winning data projects! When working on your projects: 1️⃣ Document your process - Clear documentation shows your approach and thought process. 2️⃣ Use data visualization - Effective visuals communicate your findings clearly. 3️⃣ Highlight actionable insights - Show how your data can drive real-world decisions. ✅ Pro tip: Share your projects on GitHub or create a personal portfolio websit...

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❌ Struggling to keep up with data analytics jargon? 👉 Save this post and head over to my YouTube channel for the ultimate guide! In my latest video, “Data Analyst ULTIMATE Guide: 35 Key Terms Explained in 10 Minutes!”, I break down the top 35 most-used terms in the field. 🌟 Whether you’re just starting out or looking to brush up on your knowledge, this video is a must-watch. Check it out and level up your data game! 📊✨ ⠀ ⠀ #datascience #careerchange #data #datascientist #dataanalytics #d...

In the last DIY, we introduced the concept of Exploratory Data Analysis (EDA). This is a fundamental step in Data Science. One of the key components of the EDA is finding out about the data distribution. Let’s inspect this in more depth!

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Clicking the link will open the original .pdf file in excellent quality - such a cheat sheet is useful for anyone who studies R and wants to understand in detail the features of ggplot2, also part of the Tidyverse collection of packages for data processing and analysis.

❌ Feeling lost with all the skills you need for data analysis? 👉 Save this infographic for an easy guide to the must-know topics! Data analysis doesn’t have to be scary. When you break it down, it’s all about learning the basics—like cleaning up messy data and using tools to show it in charts. 📊✨ Take it one step at a time, and you’ll get there! Got questions? Drop them below, and follow @loresowhat for more simple tips to boost your data skills! 🚀 ⠀ #bigdataanalysis #datasciencetrainin...

📊 𝐌𝐚𝐬𝐭𝐞𝐫 𝐃𝐀𝐗 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐓𝐡𝐢𝐬 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐆𝐮𝐢𝐝𝐞 DAX (Data Analysis Expressions) is a robust formula language used in Power BI, Excel, and Analysis Services to build data models and perform advanced analysis. Here’s a simple breakdown of essential DAX functions by category: 🔢 𝐀𝐠𝐠𝐫𝐞𝐠𝐚𝐭𝐢𝐨𝐧 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 ・Summarize data with SUM, AVERAGE, COUNT, and MIN. ・Example: SUM(ColumnName) gives the total sales. 🔁 𝐈𝐭𝐞𝐫𝐚𝐭𝐨𝐫 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 ・Perform calculations row-by-row with SUMX, MAXX, and COUNTX. ・Example...

Ready to enhance your HR data skills? This guide covers essential Excel tools and techniques every HR pro should know. Follow step-by-step instructions to deepen your data analysis capabilities and drive data-informed decisions. #HumanResources #PeopleAnalytics #HR #Excel

Discover the power of ChatGPT for data analysis. Simplify your workflow with an intuitive interface, instant insights, and expert guidance. Revolutionize your approach to data analysis.