#Data Driven

Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!

Comment roadmap to get sent my free and complete data engineering roadmap!

I won’t be mad if you copy this entire roadmap… #dataanalyst #dataanalysis #dataanalytics #data #analyst #techjobs #breakintotech #wfh #workfromhome #wfhjobs #remotejobs #remotework #excel #sql #tableau #python

You probably Googled “How to learn Data Analytics”… And got 100 tabs open. Courses, tools, bootcamps, blogs, YouTube videos, each saying “Start here.” But no one told you what not to do. No one gave you a starter kit that actually made sense. So I built. And now I use this same plan to guide beginners I mentor. Here’s the Data Analytics Starter Kit I wish everyone should have👇 1. Start with Excel → It’s not outdated, it’s underrated. → Master formulas, Pivot Tables, and charts. 2. Then SQL → Learn how to query real data. → SELECT, WHERE, GROUP BY, and JOIN. That’s 80% of your job. 3. Add one viz tool → Pick Tableau or Power BI. → Focus on storytelling, not fancy dashboards. 4. Forget 100-hour courses Instead, build 3 small projects: ⤷ A Sales Dashboard in Excel ⤷ A Customer Retention Report in SQL ⤷ A Visual Story in Tableau 5. Use GitHub + LinkedIn → Document your projects. → Share your process. → Visibility builds credibility. 6. Give it 6–8 weeks Learn 1 skill → Apply it → Move to the next. If you're just starting out, don't chase 10 tools. Build your foundation first. Want my full Data Analytics Starter Kit with a roadmap, tool list, and project ideas? Drop "Community" to join my community here. #datavisualization #dataanalyst #datascience #data #sql #excel #python #career #careerswitch #trending #learning #interviewtips #india #metricminds

The DAL framework streamlines your executive dashboards - whether you're using Excel, Tableau, or another business intelligence tool - and highlights only what truly matters. Here's how it works: D: Data-to-Ink Ratio Level up your data visualizations by removing unnecessary elements. Every chart, label, or color should serve a clear purpose. An uncluttered design ensures critical Key Performance Metrics (KPIs) and insights stand out. A: Anchoring Place metrics within meaningful context -whether you're benchmarking in Excel or comparing trends in Tableau. Anchoring your data helps viewers instantly grasp its importance and make informed decisions. L: Layout Our eyes naturally scan in a Z-pattern: top-left to top-right, diagonally to bottom-left, and then across to bottom-right. Position high-impact metrics in the top-left to grab attention and guide viewers through your data story. By applying DAL, you'll create effective dashboards that engage stakeholders, highlight key insights, and drive better data-driven decisions. All data shown in the video is sample data and it does not resemble any real life events.

Data Analysis with ChatGPT part 1 📈 Follow @sundaskhalidd for part 2 💕 Have you tried using ChatGPT for date analysis? Let me know if you have any cool hacks 👇🏽 also, let me know if you want me to cover any data analysis technique next 😀 Follow @sundaskhalidd for data science, tech and career educational content✨ Tags 🏷️ #python #learnpython #datavisualization #googlecolab #dataanalysis #programming #codinglife💻 #sql #softwareengineer learntocode #datascience #dataanalyst #datascientist #datacareer

This is the EXACT order I would learn Data Science in 2026. Hi 😊 my name is Dawn. I’ve been a Data Scientist at Meta, Patreon and other startups. And have coached 20+ clients into landing their dream Data jobs in the past year. 1️⃣ Learn SQL SQL is a must-have skill for every data professional because it’s the primary way you get data OUT of a database. It’s also a very easy coding language to learn, so I would start there. Use Interview Master to learn and practice SQL (link in bio): → Learn SQL: www.interviewmaster.ai/content/sql → Practice SQL: www.interviewmaster.ai/home 2️⃣ Start building Product Sense & Business Sense Product sense & business sense basically means you know how to use Data to solve real problems. I would start building this “soft” skill early because (1) it takes time to really learn this, and (2) as you’re learning Stats and Python, you already have context on how these might be used in the real world. I found the book: Cracking the PM Career to be super helpful before I landed my first Data Science job. 3️⃣ Learn Statistics How much Stats do you need for Data Science? Just the foundations, but you need to know it really really well. → Descriptive statistics → Common distributions → Probability and Bayes’ Theorem → Basic Machine Learning models → Experimentation concepts → A/B experiment design Check out Stanford’s Introduction to Statistics, which is free on Coursera. 4️⃣ Learn Python Python is the #1 skill for Data Scientists in 2025, but I put it 4th on this list because I find that it builds on skills 1-3. I learned Python on my own using DataCamp’s Python Data Fundamentals (link in bio). 5️⃣ Use AI-assisted coding tools Many data scientists are already using tools, like Claude Code & Cursor, to 2x their productivity. And also many companies are evaluating you on your use of AI during interviews. #datascience #datascientist

want to become a data analyst in 2026? you don’t actually need a degree in maths or loads of prior experience 🚀 most companies care more about whether you can actually work with data to understand business problems than what you studied at uni or what niche skills you have. learn the basics: SQL, Excel and a repot building tool and learn how to pull insights and recommendations using these tools. if you’re looking to break into data analytics, switch careers into data, or land your first data analyst role - focus on building practical skills and learning how to explain your insights clearly. follow for more realistic career advice from a non-tech girlie working as a data analyst in the book industry #dataanalyst #womenindata #bookindustry #careerchange

1. QUALIFY + ROW_NUMBER() Lets you rank rows and filter results in the same query — perfect for grabbing the most recent or top record without subqueries. 2. LAG / LEAD Used to look at the previous or next row — great for comparing changes over time (day-over-day, month-over-month). 3. CTE (WITH clause) Creates a temporary, named query so you can break complex SQL into clean, readable steps. #data #analyst #dayinthelife #dadlife #sql

1️⃣ Zomato Data Analysis Using Python https://www.geeksforgeeks.org/zomato-data-analysis-using-python/ 2️⃣ Uber Rides Data Analysis using Python https://www.geeksforgeeks.org/uber-rides-data-analysis-using-python/ 3️⃣ Weather Data Analysis https://www.geeksforgeeks.org/how-to-extract-weather-data-from-google-in-python/ 4️⃣ iPhone Sales Analysis https://www.geeksforgeeks.org/active-product-sales-analysis-using-matplotlib-in-python/ 5️⃣ IPL 2023 Data Analysis https://www.geeksforgeeks.org/ipl-2023-data-analysis-using-pandas-ai/ ✅ Share this reel with me to get all links and my FREE Data Analyst Roadmap pdf. ✅ Join my free telegram channel where I post all resources that you need to become a data analyst. P.S. If you are not able to get link in your dm, please check links in my bio. #data #dataanalyst #datascience #businessanalyst #jobprep #interviewprep #job #jobs #placement #internship #jobsearch #tech #roadmap #collegestudents #sql #careerindataanalytics #resume #datanalystjobs #jobfindingtips #jobtips | data analyst | business analyst | data science

Data Science 4 All is a free training program that makes data science shockingly uncomplicated

Learning Data Structures & Algorithms? I’ve rounded up the best sites so you don’t have to. Save + share.