Himanshu Sharma’s Post

I'm very excited to announce that I just finished my GA4 certification! Here are my top two takeaways: 1) Just how impactful the use of analytics is to the bottom line of a business 2) How to leverage machine learning for smarter insights. Ready to put these skills into action! #GA4Certification #DigitalAnalytics https://lnkd.in/eFmZypGZ

As a former (very amateur) triathlete, I can't help but see the similarities between the Microsoft Fabric's DP-600 certification and a triathlon race. In both, you need to excel in three different disciplines: swimming 🏊♂️ , cycling 🚴♂️ , and running 🏃♂️ . In the case of DP-600, it's Fabric Data Warehouse (SQL), Lakehouse (PySpark), and Power BI (DAX, M). You'll likely find yourself proficient in one of them—in my case, swimming and SQL—and needing to exert extra effort in another, such as running and Power BI tools. To successfully complete the race (or exam), you'll need to navigate all of these disciplines proficiently. I would suggest this exam for people interested in delving into the nitty-gritty of the overall Fabric platform and for those who enjoy being multidisciplinary (including T-SQL, PySpark, and Power BI). On the other hand, I would not recommend this exam for individuals who prefer to focus solely on one discipline and have no desire to develop proficiency in others. I really appreciate Microsoft Learn's approach to providing written self-study paths, live video sessions on YouTube, and practice exams. However, it's essential not to become overly confident, as the real test is considerably more complex and challenging than the current study material suggests. Best of luck to those who will take on the challenge! 🏆 #DP600 #MicrosoftFabric

2 more left and will soon be done with this short course🌻🥳🥺 #DataAnalyst #GoogleAcademy #UpSkill

Today I earned my "Work with Delta Lake tables in #MicrosoftFabric" badge! I’m so proud to be celebrating this #achievement and hope this inspires you to start your own Microsoft Learn journey! #msfabric #freetraining #microsofttraining #certificationtraining #trainingdevelopment #traininganddevelopment

Completed my Data visualizaion Bootcamp by Microsoft learn platform . Helps me to elevate my proficiency in visualizaion through diving into core concepts.

🚀 Are you tired of wrestling with #GA4 BigQuery exports? 👉 Then check out our new #opensource solution ✨ GA4 Dataform ✨. It’s a #GoogleCloud Dataform project that transforms GA4 raw data exports into user-friendly and modular #BigQuery tables. It provides last-click #attribution models for sessions and events, and can help you develop your own custom attribution models. Swipe through the slides below to learn more and find all the details on #GitHub. 1️⃣ GitHub repository https://lnkd.in/ev_5_hMK 2️⃣ Deployment guide https://lnkd.in/epGb35Dx #Google #GoogleAds #GoogleAnalytics #Measurement #DataAnalytics #MarketingAnalytics #MarTech #AvailableOnGitHub

Hi my friends✨ Come back with me with the 6th weekly learning progress in Digital Skola. This week I learned about Airflow I and Airflow II, but this week there was something interesting about the third project. Come on, friends, study together with the slides below, and maybe that's all, so wait for next week for an update on next week's learning progress. #DigitalSkola #LearningProgressReview #DataEngineer

Why Use MLflow? 🚀 MLflow simplifies tracking, managing, and sharing machine learning experiments. 🌟 Track Machine Learning Model with MLflow! 🌟 Discover how to efficiently track your model training processes directly within Jupyter Notebooks using MLflow. Check out this comprehensive guide from Microsoft to get started: Track Model Training in Jupyter Notebooks with MLflow 💻📊 For knowing more click here [https://lnkd.in/dAnbn7GU]

Excited to share that I have achieved the 𝐅𝐚𝐛𝐫𝐢𝐜 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐀𝐬𝐬𝐨𝐜𝐢𝐚𝐭𝐞 certificate! 🏆 Certification Link: https://rb.gy/c5jitv Special thanks to Nikolai Schuler for his excellent Udemy course, which offers clear and practical explanations for each point. Also, a big thanks to Learn Microsoft Fabric for the engaging and useful playlist on his YouTube channel. #Data #DataAnalysis #MicrosoftFabric

Data and attribution are becoming more and more transparent.