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Prepnplaced.com

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๐Ÿš€ Welcome to the Elite Data Engineering & Agentic AI Hub! ๐Ÿš€ ๐Ÿ‘‘ Community Creator: Mandar Patil ๐Ÿ‘จโ€๐Ÿ’ป Admin & Mentor: Durgesh Yadav The era of basic data tasks is over. With Agentic AI evolving the industry, up to 60% of traditional Data Analyst roles

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๐Ÿ“ˆ Analytical overview of Telegram channel Prepnplaced.com

Channel Prepnplaced.com (@dataanalyticsbuddy) in the English language segment is an active participant. Currently, the community unites 29 247 subscribers, ranking 6 665 in the Education category and 14 722 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 29 247 subscribers.

According to the latest data from 14 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -957 over the last 30 days and by -14 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.97%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 457 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
  • Thematic interests: Content is focused on key topics such as analyst, sql, analytic, dashboard, roadmap.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œ๐Ÿš€ Welcome to the Elite Data Engineering & Agentic AI Hub! ๐Ÿš€ ๐Ÿ‘‘ Community Creator: Mandar Patil ๐Ÿ‘จโ€๐Ÿ’ป Admin & Mentor: Durgesh Yadav The era of basic data tasks is over. With Agentic AI evolving the industry, up to 60% of traditional Data Analyst ...โ€

Thanks to the high frequency of updates (latest data received on 15 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

29 247
Subscribers
-1424 hours
-1497 days
-95730 days
Posts Archive
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Data Analyst Roadmap for 2026 (Beginner Friendly) ๐Ÿš€๐Ÿ“Š 1๏ธโƒฃ Understand the Data Analyst Role ๐Ÿ” What you actually do: โ€“ Clean and analyze data โ€“ Build dashboards โ€“ Write SQL queries โ€“ Use Python for deeper analysis โ€“ Use AI tools for faster insights โ€“ Present findings to business teams ๐Ÿ’ก You help companies find answers and make decisions using data. 2๏ธโƒฃ Start with Excel (Month 1) ๐Ÿ“ˆ Learn: โ€“ Basic formulas (IF, XLOOKUP, INDEX-MATCH) โ€“ Pivot Tables โ€“ Power Query โ€“ Charts โ€“ Data cleaning steps ๐Ÿ’ก Still the #1 tool used in companies for initial analysis. ๐Ÿ”— https://lnkd.in/d79Fks_y 3๏ธโƒฃ Master SQL (Month 1โ€“2) ๐Ÿงฉ SQL = the core skill for Data Analysts. Start with: โ€“ SELECT, WHERE โ€“ JOINs โ€“ GROUP BY, HAVING โ€“ Window Functions (RANK, LAG, LEAD) โ€“ CTEs ๐Ÿ›  Practice using: โ€“ W3Schools โ€“ Mode Analytics SQL โ€“ LeetCode (SQL section) ๐Ÿ’ก SQL is required in 90%+ data analyst jobs in 2026. ๐Ÿ”— https://lnkd.in/dZjUh9cq 4๏ธโƒฃ Learn Python for Analysis (Month 2โ€“3) ๐Ÿ Start with: โ€“ pandas (cleaning, filtering, grouping) โ€“ Numpy โ€“ Matplotlib / seaborn โ€“ Basic EDA (Exploratory Data Analysis) ๐Ÿ“ Mini-project ideas: โ€“ Sales data cleaning + trends โ€“ Customer segmentation โ€“ Product performance analysis ๐Ÿ’ก Python helps automate, visualize, and analyze large datasets. ๐Ÿ”— https://lnkd.in/dYnG5jN3 5๏ธโƒฃ Learn a Visualization Tool (Month 3โ€“4) ๐Ÿ“Š Choose ONE (Power BI is more in-demand): โ€“ Power BI โ€“ Tableau Learn: โ€“ Data modeling โ€“ DAX (Power BI) โ€“ Filters, slicers โ€“ Designing dashboards ๐Ÿ›  Build 3โ€“5 dashboards: โ€“ Sales performance โ€“ HR attrition โ€“ Marketing campaign report โ€“ Finance KPI report ๐Ÿ’ก Tools are how you โ€œshowโ€ your insights. ๐Ÿ”— Power BI: https://lnkd.in/dVzsZqQ9 ๐Ÿ”— Tableau: https://lnkd.in/dXdC7mcX 6๏ธโƒฃ Use Real Datasets (Month 4) ๐Ÿ” Practice on websites: โ€“ Kaggle โ€“ Data.gov โ€“ Maven Analytics โ€“ Google Dataset Search Try mini case studies: โ€“ Why are sales dropping? โ€“ What is causing customer churn? โ€“ What product generates highest revenue? ๐Ÿ’ก Real data makes you job-ready. 7๏ธโƒฃ Build a Strong Portfolio (Month 4โ€“5) ๐Ÿ’ป Upload projects to: โ€“ GitHub โ€“ Notion โ€“ Power BI Public Workspace โ€“ LinkedIn posts ๐Ÿ“Œ Include: โ€“ SQL queries โ€“ Python notebooks โ€“ Dashboards (Power BI/Tableau) โ€“ Case studies โ€“ Insight summaries ๐Ÿ’ก Portfolio = 10x better than a resume in 2026. 8๏ธโƒฃ Learn AI Tools (Mandatory in 2026) ๐Ÿค– Use AI as your co-pilot: โ€“ ChatGPT for SQL & insights โ€“ Power BI Copilot โ€“ Tableau โ€œEinsteinโ€ โ€“ Code Interpreter for EDA Learn to: โ€“ Generate summaries โ€“ Detect anomalies โ€“ Optimize SQL โ€“ Explain dashboards ๐Ÿ’ก AI-augmented analysts are preferred by employers. 9๏ธโƒฃ Improve Soft Skills ๐Ÿ—ฃ Focus on: โ€“ Explaining insights in simple words โ€“ Data storytelling โ€“ Presenting dashboards clearly โ€“ Critical thinking ๐Ÿ’ก Data Analysts = Communicators + Problem Solvers. ๐Ÿ”Ÿ Get Certifications (Optional but Useful) ๐ŸŽ“ Good options: โ€“ Google Data Analytics (Coursera) โ€“ PL-300: Power BI Data Analyst โ€“ IBM Data Analyst โ€“ Snowflake SnowPro Core ๐Ÿ’ก Helps stand out, especially for freshers. 1๏ธโƒฃ1๏ธโƒฃ Apply for Entry-Level Roles (Month 6) ๐ŸŽฏ Job titles to search: โ€“ Data Analyst (Intern/Junior) โ€“ Business Analyst โ€“ Reporting Analyst โ€“ MIS Analyst โ€“ Power BI Analyst โ€“ Operations Analyst ๐Ÿ’ก Apply even if you donโ€™t meet 100% criteria. ๐Ÿ‘‰ WhatsApp Channel: https://whatsapp.com/channel/0029VaFZ2LbKGGGRCU0lnd46 ๐Ÿ‘‰ Telegram Channel: https://t.me/dataanalyticsbuddy Don't forget to share with others who are looking for learning more about Data Analyst ๐Ÿ™Œ โ˜บ๏ธ Till then keep learning and keep exploring ๐Ÿ™Œ โ˜บ๏ธ

๐Ÿš€ FREE LIVE WEBINAR | Apache Spark โ€“ End to End Understanding Big Data is no longer optional. If you want to work with real-
๐Ÿš€ FREE LIVE WEBINAR | Apache Spark โ€“ End to End Understanding Big Data is no longer optional. If you want to work with real-world large-scale data, you must understand Apache Spark. ๐Ÿ“Š End to End Understanding of Spark Framework ๐Ÿ—“ Sunday, 4 Jan โฐ 12:00 PM IST โฑ 120 Minutes | Live Session ๐ŸŽฏ What youโ€™ll learn in this session: ๐Ÿ‘จโ€๐Ÿซ Mentor: Durgesh Yadav โญ Renowned Data Analytics Mentor โญ Known for crystal-clear explanations & real-world insights โญ Trusted by thousands of learners across India ๐Ÿ”ฅ Who should attend? โœ” Data Analysts โœ” Data Engineers โœ” Big Data / Hadoop Learners โœ” Developers โœ” Anyone serious about data-driven careers ๐Ÿ’ก If Spark feels confusing today, this session will connect all the dots for you. ๐Ÿ‘‰ Join the webinar here: ๐Ÿ”— https://topmate.io/durgesh_yadav/1866522?utm_source=public_profile&utm_campaign=durgesh_yadav

๐Ÿš€ FREE LIVE WEBINAR | Apache Spark โ€“ End to End Understanding Big Data is no longer optional. If you want to work with real-
๐Ÿš€ FREE LIVE WEBINAR | Apache Spark โ€“ End to End Understanding Big Data is no longer optional. If you want to work with real-world large-scale data, you must understand Apache Spark. ๐Ÿ“Š End to End Understanding of Spark Framework ๐Ÿ—“ Sunday, 4 Jan โฐ 12:00 PM IST โฑ 120 Minutes | Live Session ๐ŸŽฏ What youโ€™ll learn in this session: ๐Ÿ‘จโ€๐Ÿซ Mentor: Durgesh Yadav โญ Renowned Data Analytics Mentor โญ Known for crystal-clear explanations & real-world insights โญ Trusted by thousands of learners across India ๐Ÿ”ฅ Who should attend? โœ” Data Analysts โœ” Data Engineers โœ” Big Data / Hadoop Learners โœ” Developers โœ” Anyone serious about data-driven careers ๐Ÿ’ก If Spark feels confusing today, this session will connect all the dots for you. ๐Ÿ‘‰ Join the webinar here: ๐Ÿ”— https://topmate.io/durgesh_yadav/1866522?utm_source=public_profile&utm_campaign=durgesh_yadav