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Iโm Naveen, currently working as Data Analyst & Product Manager at Codebasics, and I love figuring out the story and insights from the messy data. One Interesting fact about my job is, I got this offer based on my LinkedIn profile and my submissions in the #codebaiscsresumeprojectchallenge , without any formal interview ๐ I have recently switched to a data analyst role from Testing Engineer. The experience from working in the testing domain, helped me to become the best in identifying the hedge cases in all the scenarios. Tools and Technologies I work with, - Power BI - Power Automate - Python - MySQL - Excel - Notion My Functional Areas - Automating repetitive tasks - Data Visualization - Market Analysis - Content creation - Dashboarding I strongly believe in learning in Public, which is why I share all my learnings and experiences here regularly. To learn from my learnings and experience, you can follow/Connect with me here ๐.
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You don't know What a person can do Who is hungry to prove themselves, Especially mothers who have been on a career break. These talented professionals constantly look for a chance, yet still, they find it difficult in the job market to get an opportunity. To support them through this phase, at Codebasics, we started the "Mom Support Program" a few years back. While some moms have secured jobs, many amazing, talented, and skilled mothers are still searching for opportunities. They need more visibility for their skills. To address this, we're launching the "๐ ๐ผ๐บ ๐ฅ๐ฒ๐๐๐ฟ๐ป๐ ๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ" for this Mother's Day. Challenge details are in the PDF below ๐๐ผ The top winner will receive a paid internship at Codebasics. We hope this encourages more companies to provide opportunities for mothers trying to return to work. - Moms deserve a place Not only in our hearts But in the workspace as well. โ - Please repost to share with your network. #codebasicsmomreturnschallenge #data #momsupportprogram
How is Microsoft Fabric different from Power BI? Should I learn it? Let me help you out with this. If you are in the Data field, you must know by now, Power BI is a Business Intelligence Tool for creating reports and dashboards from the data. Whereas Microsoft Fabric is the comprehensive analytics platform that now includes Power BI as one of its workloads. With Fabric, Microsoft is trying to bring all the data people (DA, DS, DE) and data roles together with business people. This doesn't mean you need to learn everything in the Fabric. As a Data Analyst, you will be working with a few workloads regularly. And having a basic understanding of what other workloads are available in the Fabric is more than enough. Have you tried learning Fabric? #fabric #data
Data Analysts know the importance of KPIs. BTW, what are the KPIs involved in becoming a Data Analyst? โก๏ธ Number of Projects in your portfolio โก๏ธ How many peopleโs queries have you helped and solved? โก๏ธ Improvement percentage compared to your last project โก๏ธ Willingness to learn from anyone โก๏ธ Keeping yourself up to date with the new advancements. Anything else youโd like to add? #data #kpi #business
Curious About Automation? ๐ฆ๐๐ฎ๐ฟ๐ ๐ช๐ถ๐๐ต ๐ง๐ต๐ฒ๐๐ฒ ๐ฏ ๐ฆ๐ถ๐บ๐ฝ๐น๐ฒ ๐ง๐ผ๐ผ๐น๐ The recent wave of AI tools has made automation accessible to everyone. If you haven't tried these tools yet, you're missing chances to save time and work smarter. Three powerful automation platforms worth trying this weekend: 1. N8N 2. Make{dot}com 3. Zapier I'll share simple tutorial links for each tool in the comments. โ I personally love automating stuff, and it gives a real sense of satisfaction. And my first love for automation is Power Automate. From there, I started it. If you wanted to learn Power Automate, but weren't able to due to a work account, I strongly recommend learning any of these tools. As all of these automation tools work with similar logic, you can transfer your learning later. #powerautomate #automation #ai
Terms That Can Help You Get Started with Web Analytics โก๏ธ Active Users โ Number of people currently active on the website. โก๏ธ Conversion Rate โ Percentage of people who purchased the product compared to total users. โก๏ธ Bounce Rate โ Percentage of users who exited the website from a particular page without taking further action. โก๏ธ Funnel โ The path customers take from first discovering your brand to making a purchase. Understanding this provides valuable insight into why some customers convert โ and why others donโt. โก๏ธ Session โ The period from when a user enters the website to when they leave. โก๏ธ Visits โ Number of times the website is visited. โก๏ธ Campaigns โ Different marketing efforts used to drive traffic to the website. Did you know? Around 60โ70% of web analytics relies on understanding these terms. Have you heard of these before? #web #analytics #data
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