Are you trying to launch or accelerate a career in data? 👇 Here's a framework to help get you started 👇LEARN ABOUT POTENTIAL CAREER PATHS: 👉 Data Analyst👉 Data Scientist👉 Data Engineer (*there are many more, and many in-between flavors) LEARN THE TOOLS: 👉 Excel 👉 SQL👉 Power BI / Tableau 👉 Python / R(*again, there are many more. These will give you the most mileage)LEARN HOW TO THINK LIKE A DATA PERSON: 👉 Problem Solving👉 Business Acumen👉 Critical Thinking👉 Storytelling w/ DataBUILD A DATA PROJECT PORTFOLIO: 1️⃣ Find Publicly Available Data Sets (resources below) 2️⃣ Analyze Data 3️⃣ Package Up Your Findings4️⃣ Let People See Your Work (LinkedIn is the best place for this) LEARN HOW TO MARKET YOURSELF AS A DATA PERSON👉 Practice telling your project stories👉 Know your strengths AND your weaknesses👉 Polish your LinkedIn profile and your resume (in that order)👉 Start networking and building a personal brand👉 Learn how to find and apply for jobs effectively👉 Master the data interview Follow this framework, and you'll be in great shape. And here are some free resources to help you get started on your journey...FREE DOWNLOADABLE DATA SETS:👉 https://www.kaggle.com/datasets 👉 https://data.world/datasets/open-data👉 https://www.mavenanalytics.io/data-playgroundFREE DATA CAREER RESOURCES:👉 https://www.mavenanalytics.io/blog/10-tips-for-entry-level-data-analyst👉 https://www.mavenanalytics.io/blog/data-analyst-career-path👉 https://www.mavenanalytics.io/blog/getting-your-first-data-analyst-job👉 https://www.mavenanalytics.io/blog/data-analyst-resume-tips👉 https://www.mavenanalytics.io/blog/data-analyst-interview-questionsFREE DATA CAREER VIDEO CONTENT: 👉 Quick stories from newly launched data careers: https://youtu.be/75uJDW53DKs👉 How to get your first job in data: https://youtu.be/gkEXkyA-HNg👉 Podcast for aspiring analysts: https://www.youtube.com/channel/UC7T_528unh2ZgnVcx1sl7oAIf you want to launch or accelerate your data career, you just have to set your mind to it. Anyone can succeed here, and it really is a fun and rewarding career path. All you need to do is follow the framework shown above. Happy learning!